Optimizing Care for Veterans at Risk of Cancer From Camp Lejeune Water Exposure

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Optimizing Care for Veterans at Risk of Cancer From Camp Lejeune Water Exposure

Clinical awareness of cancers associated with Camp Lejeune water contamination exposure remains limited despite legal and policy advances. Gaps persist in early symptom recognition and timely diagnostic evaluation before a definitive cancer diagnosis among exposed personnel. This may represent missed opportunities for earlier identification of volatile organic compounds (VOCs)-related cancers and for less invasive treatment options for veterans in this high-risk population.

Federal health care practitioners (HCPs), especially those in primary care and internal medicine, are uniquely positioned to bridge this gap. By improving the recognition of symptoms, pertinent physical examination findings, and implementing a diagnostic screening panel, HCPs can support accurate diagnoses and facilitate earlier treatment to improve health and quality of life for this population.

From 1953 to 1985, as many as 1 million military personnel, civilian workers, and their families stationed at US Marine Corps Base Camp Lejeune were unknowingly exposed to toxic and carcinogenic chemicals in drinking and bathing water.1 Three of the 8 main water sources on base were contaminated with VOCs, which are associated with multiple cancers.1-3

The US Department of Veterans Affairs (VA) recognizes 15 conditions associated with Camp Lejeune contaminated water exposure for VA benefits, including 10 cancers: adult leukemia; aplastic anemia and other myelodysplastic syndromes (MDS); bladder, esophageal, kidney, liver, breast (male and female), and lung cancers; multiple myeloma; and non-Hodgkin lymphoma (NHL).4

BACKGROUND

Established in 1942, Camp Lejeune is an important Marine Corps training installation. Between 1953 and 1985, multiple on-base water systems were contaminated with VOCs, including trichloroethylene (TCE), perchloroethylene (PCE), benzene, and vinyl chloride, due to improper waste disposal and industrial runoff from on- and off-base sources.5 Tarawa Terrace water treatment plant (WTP) was contaminated primarily with PCE from November 1957 to February 1987. Hadnot Point WTP was contaminated with TCE from August 1953 to December 1984, along with PCE, and benzene, toluene, ethylbenzene, and xylene (BTEX). Holcomb Boulevard WTP, established in 1972, was contaminated with TCE from June 1972 to February 1985.2 These contaminants entered the drinking and bathing water supply over decades, and exposure often occurred concurrently across = 1 VOC, compounding health risks.2,3 This prolonged 32-year VOC exposure window underlies current concerns regarding long-term cancer risk among affected service members, civilian employees, and family members. Epidemiologic research has found statistically significant associations between VOC exposure and multiple cancers, neurologic conditions, and reproductive issues.6 Specifically, TCE is associated with higher risks of hematologic cancers, multiple myeloma, NHL, and kidney cancer.3 PCE is linked with kidney cancer, benzene with multiple myeloma and NHL, and vinyl chloride with hepatobiliary cancers.3 A cohort mortality study compared Camp Lejeune personnel with a control group at Camp Pendleton from 1972 to 1985 and found a 3-fold higher incidence or mortality rate for kidney, esophageal, and female breast cancers, leukemia, and lymphoma among exposed Camp Lejeune personnel.6 Notably, personnel assigned to Camp Lejeune for as little as 6 months faced up to a 6-fold increase in cancer risk; the average military assignment between 1975 and 1985 was 18 months.3,6

Honoring America's Veterans and Caring for Camp Lejeune Families Act of 2012, the Sergeant First Class Heath Robinson Honoring Our Promise to Address Comprehensive Toxics (PACT) Act of 2022, the Camp Lejeune Justice Act of 2022, and the pending Ensuring Justice for Camp Lejeune Victims Act of 2025 provide health care and legal resources for personnel and families affected by Camp Lejeune’s contaminated water.6-8 These laws acknowledge associations between exposure and specific health conditions and expanded health care, benefits, and legal recourse for affected veterans, survivors, and their families.8,9

CANCERS LINKED TO CAMP LEJEUNE

Camp Lejeune VOC-contaminated water exposure is associated with solid tumor and hematologic cancers. Symptoms, physical examination findings, and diagnostic considerations vary by cancer type (Table 1).

0526FED-AVAHO-Lejeune_T1

Bladder Cancer

The US incidence rate of bladder cancer for both males and females is 18 per 100,000 individuals per year, with a death rate of 4.1 per 100,000 individuals per year, and a 2.1% lifetime diagnosis risk.10 Personnel exposed to VOCs at Camp Lejeune had a 9% higher risk of developing bladder cancer and a 2% increased mortality compared with an unexposed control group at Camp Pendleton.1,7 Other bladder cancer subtypes at increased risk are papillary transitional cell carcinoma, nonpapillary transition cell carcinoma, and urothelial carcinoma.7 This is consistent with prior research that found PCE exposure is associated with an increased risk for bladder cancer.3,7,11 Smoking and tobacco use remain significant risk factors for bladder cancer.12

Symptomatology. The most common symptom associated with bladder cancer is painless hematuria (gross or microscopic). Other often delayed symptoms include urinary frequency, urgency, or nocturia.13,14

Diagnostics. Screening tests include urinalysis for hematuria, urine cytology, and cystoscopy with biopsy as the gold standard for diagnosis and staging.15,16

Kidney Cancer

The US incidence rate of kidney cancer and renal pelvis cancer for both males and females is 17.5 per 100,000 individuals per year, with a death rate of 3.4 per 100,000, and a 1.8% lifetime diagnosis risk.17 Camp Lejeune personnel exposed to VOCs had a 6% increased risk of developing kidney cancer and renal pelvis cancer and a 21% higher mortality risk compared with Camp Pendleton controls.1,7 Subtypes at risk include renal cell carcinoma and papillary carcinoma.7 This is consistent with prior research that found exposures to TCE and PCE are associated with a 3-fold increased risk of kidney cancer.3,7

Symptomatology. Hematuria, flank pain, and a palpable abdominal mass are common symptoms associated with kidney cancer. In advanced stages, other symptoms may include left-sided varicocele, anemia, weight loss, fatigue, fever, and night sweats.18

Diagnostics. Screening tests include urinalysis to assess the presence of blood, complete blood count (CBC) to assess anemia, calcium (elevated), and lactate dehydrogenase (LDH), which may be elevated. Imaging strategies include abdominal computed tomography (CT), magnetic resonance imaging (MRI), or ultrasound.19

Esophageal Cancer

The US incidence rate of esophageal cancer for both males and females is 4.2 per 100,000 individuals per year, the death rate is 3.7 per 100,000 individuals per year, and a 0.5% lifetime diagnosis risk.20 VOC-exposed Camp Lejeune personnel had a 27% increased incidence and 25% increased mortality compared with the control group.1,7 Esophageal cancer subtypes at elevated risk include squamous cell carcinoma and adenocarcinoma. This is consistent with prior research that found Camp Lejeune water exposure is associated with a 3-fold increased risk for esophageal cancer.7 Additional risk factors include history of smoking and alcohol use.21

Symptomatology. Esophageal cancer is often asymptomatic with potential symptoms that include dysphagia, hoarseness, and weight loss in advanced disease.22

Diagnostics. Endoscopy with biopsy is the definitive method for diagnosis.23

Liver Cancer

The US incidence rate of liver cancer and intrahepatic bile duct cancer for both males and females is 9.4 per 100,000 individuals per year, with a death rate of 6.6 per 100,000 individuals per year, and a 1.1% lifetime diagnosis risk.24 VOC-exposed personnel had a 1% higher mortality than controls.1

Symptomatology. Liver cancer is often asymptomatic and appears in late stages.25 Common symptoms include right upper quadrant pain, early satiety, nausea, vomiting, loss of appetite, weight loss, ascites, jaundice, and abnormal bleeding or bruising.25,26

Diagnostics. Diagnostic tests may include an ultrasound, CT, or MRI. Additional laboratory testing may include liver function, a-fetoprotein blood, CBC, renal function, calcium, and hepatitis panel screening for hepatitis B and C.27,28

Lung Cancer

The US incidence rate of lung cancer for both males and females is 47.8 per 100,000 individuals per year, with a death rate of 31.5 per 100,000 individuals per year, and a 5.4% lifetime diagnosis risk.29 VOC-exposed personnel had a 16% increased risk and 19% higher mortality.1,7 Subtypes include large cell, small cell, non-small cell, squamous cell, and adenocarcinoma.7 Smoking is an additional risk factor.30

Symptomatology. Symptoms of lung cancer include cough, shortness of breath, chest pain worse with deep breathing, unexplained weight loss, fatigue, night sweats, and recurrent fevers. Advanced stages may metastasize or spread to the liver, bones, and brain.31

Diagnostics. Low-dose CT and chest X-ray are used for screening.32

Breast Cancer

The US incidence rate of female breast cancer is 130.8 per 100,000 individuals per year, with a death rate of 19.2 per 100,000 individuals per year, and a 13.0% lifetime risk of diagnosis.33 For female VOC-exposed personnel, there was an equal risk of developing breast cancer as the control group.1 However, exposed females at Camp Lejeune had a 23% higher mortality risk compared to the control group.7 Breast cancer subtypes among females include ductal carcinoma, lobular carcinoma, and ductal-lobular carcinoma.1

The US incidence rate of male breast cancer is 1.3 per 100,000 individuals per year, with a death rate of 0.3 per 100,000 individuals per year.34,35 The lifetime risk for males developing breast cancer is 137.7 per 100,000 and about 70 to 100 times less common in men than women.36

Male personnel exposed at Camp Lejeune had a 4% increased risk for developing breast cancer compared to Camp Pendleton.7 However, mortality was lower in the Camp Lejeune group.1 Although male breast cancer is rare, males at Camp Lejeune had a higher incidence, indicating a link between TCE, PCE, vinyl chloride exposures and male breast cancer.37 Male breast cancer is more often diagnosed in advanced stages than female breast cancer due to the lack of awareness or absence of routine screenings.38 The most common breast cancer type in males is invasive ductal carcinoma, accounting for 85% to 90% of cases; lobular carcinoma is the second most common type.39

Symptomatology. In both females and males, breast cancer symptoms include painless, firm mass or lump in the breast (left breast slightly more common than right), skin changes or dimpling, nipple retraction or turning inward, and nipple discharge. Breast cancer can spread to the lymph nodes and can be appreciated in axilla or clavicular regions.40

Diagnostics. The diagnostic evaluation for breast cancer is similar for females and males. It includes a clinical breast examination, diagnostic mammogram, and ultrasound.41 Mammograms can distinguish between gynecomastia and cancer, especially in males.42 A core or fine needle biopsy is needed to confirm diagnosis.41

Adult Leukemia

The US incidence rate of leukemia for both male and female was 14.4 per 100,000 individuals per year, with a death rate of 5.8 per 100,000 individuals per year, and a 1.5% lifetime diagnosis risk.43

VOC-exposed personnel had a 7% higher risk of developing leukemia and a 13% increased mortality risk compared with the control group.1,7 Subtypes of leukemia at risk included a 38% increased incidence of acute myeloid/monocytic leukemia (AML) and a 2% increased incidence of chronic lymphocytic leukemia (CLL).1 Benzene and TCE exposures are known risk factors for AML and other leukemias.7 Personnel at Camp Lejeune had 3 times the incidence or mortality for leukemia, specifically AML mortality at 20%.7 Smoking is an additional risk factor for certain leukemias, especially AML.30

Symptomatology. Symptoms associated with leukemia are often nonspecific and may include fatigue, pallor, easy bruising or bleeding (skin or gums), recurrent infections secondary to neutropenia, fever, night sweats, pain or feeling full after a small meal due to enlarged spleen or liver, and weight loss.44,45

Diagnostics. An initial screening includes a CBC with differential, a peripheral smear to detect the presence of blast cells, as well as Auer rods in myeloid blast cells in AML or smudge cells in CLL. Confirmatory tests may include bone marrow biopsy or flow cytometry. A referral to a hematologist is recommended for any suspected leukemia.46,47

Myelodysplastic Syndromes

Aplastic anemia and MDS are considered rare disorders.48 Aplastic anemia is a nonmalignant bone marrow failure disorder with pancytopenia and hypocellular bone marrow due to the loss of hematopoietic stem cells.48 MDS is a type of hematopoietic cancer where the bone marrow produces abnormal blood cells or does not make enough healthy cells.49 This can lead to an increased risk for infection, cytopenias, neutropenia, refractory anemia, and thrombocytopenia, and progression to AML in some patients.49

The reported US incidence of MDS from 1975 to 2013 was 6.7 per 100,000 for males and 3.7 per 100,000 for females.50 Benzene exposure is linked to MDS and a known cause of AML.1 VOC-exposed personnel had a 68% increased risk of developing MDS and a 2.3-fold increased mortality risk compared to controls.1,7

Symptomatology. Some patients are asymptomatic at diagnosis.51 Symptoms related to cytopenia include fatigue, pallor, purpura, petechiae, bleeding of skin, gum, or nose, recurrent infections, fever, bone pain, loss of appetite, and weight loss.50,51

Diagnostics. Initial workup includes a CBC with differential to assess for anemia, white blood cell and absolute neutrophil counts (low), and thrombocytopenia.52 A peripheral blood smear may show myeloid blast cells. A bone marrow aspiration and biopsy, flow cytometry, and cytogenetic or molecular testing may be performed. If MDS is suspected, a referral to a hematologist should be considered.52

Multiple Myeloma

The US incidence rate of multiple myeloma for both males and females is 7.3 per 100,000 individuals per year, with a mortality rate of 2.9 per 100,000 individuals per year, and a 0.8% lifetime diagnosis risk.53 VOC-exposed personnel had a 13% increased risk of developing multiple myeloma and an 8% increased mortality risk compared to unexposed personnel.1,7

Symptomatology. Multiple myeloma may be asymptomatic in early stages. The most common presenting symptom is bone pain, especially in the back, hips, and long bones, due to hypercalcemia from increased reabsorption, plasma cell tumor overgrowth in the bone marrow, and lytic lesions.54 Additional symptoms include fatigue and pallor related to anemia, leukopenia, thrombocytopenia, recurrent infections, extreme thirst, frequent urination, dehydration, confusion associated with hypercalcemia, peripheral neuropathy, loss of appetite, weight loss, and renal impairment or failure.54

Diagnostics. Testing considerations include a CBC with a peripheral blood smear to evaluate anemia and rouleaux formation of red blood cells (seen in > 50% of patients with multiple myeloma), comprehensive metabolic panel (CMP) to assess kidney function, calcium levels (elevated), serum and urine protein electrophoresis with immunofixation to detect monoclonal protein (detected in > 80% of patients with multiple myeloma) and Bence-Jones proteins, serum free light chain assay, and a bone marrow biopsy for diagnosis.55,56

MRI of the spine and pelvis is the most sensitive to detecting bone marrow involvement and focal lesions before lytic lesion progression occurs and for assessing spinal cord compression.57 PET/CT is more sensitive at detecting extramedullary disease, outside of the spine, and for patients that cannot undergo MRI.57 A whole-body low-dose CT, either alone or with PET, is more sensitive than an X-ray at detecting lytic lesions, fractures, or osteoporosis associated with multiple myeloma.57

Non-Hodgkin Lymphoma

The US incidence rate of NHL for both males and females are 18.7 per 100,000 individuals per year, the death rate is 4.9 per 100,000 individuals per year, and a 2% lifetime diagnosis risk.58 VOC-exposed personnel had a 1% higher risk of developing NHL and a decreased mortality risk compared to the control group.1,7 Specific NHL subtypes with increased risk in the exposed cohort are mantle cell (26%), follicular (7%), Burkitt (53%), and marginal zone B-cell (45%).7

Symptomatology. NHL often presents with painless lymphadenopathy or enlarged lymph nodes involving the cervical, axillary, inguinal regions.59,60 Other symptoms include frequent infections, unexplained bruising, weight loss, and “B symptoms,” such as fever and night sweats.59,60 Some patients develop a mediastinal mass in the thorax, which if large may lead to cough or shortness of breath.59

Diagnostics. The initial diagnostic workup includes CBC with differential and LDH, which may be elevated.60,61 Imaging may begin with a chest X-ray to assess for a mediastinal mass; however, CTs of the chest, abdomen, and pelvis provide more detail to better assess for NHL. Whole body PET/CT is considered the gold standard for assessing and staging systemic involvement. If enlarged lymph nodes are present, a biopsy can confirm the subtype of NHL.60,61

PHYSICAL EXAMINATION

A focused physical examination may aid HCPs in early detection of the cancers associated with Camp Lejeune (Table 2). The physical examination can guide diagnostic testing and imaging for further assessment and workup for VOC-related cancers.

0526FED-AVAHO-Lejeune_T2

Proposed Diagnostic Screening Panel

Primary care and internal medicine HCPs have the opportunity to improve patient health outcomes by implementing a targeted diagnostic screening panel for identified veterans previously stationed at Camp Lejeune. Early identification of cancers associated with VOCs exposure can facilitate earlier treatment interventions and improve health and quality of life outcomes. The following diagnostic screening panel outlines a potential cost-effective strategy for evaluating and detecting the 10 cancers associated with VOC exposure in Camp Lejeune water.

Baseline Screening

Implementing a diagnostic screening panel in this high-risk cohort can lead to earlier diagnosis, reduce mortality, and improve patient outcomes through early intervention, which in turn may result in less invasive treatment. This approach may also reduce health care costs by avoiding costs associated with delayed diagnosis and advanced-stage cancer care (Tables 3 and 4).

0526FED-AVAHO-Lejeune_T30526FED-AVAHO-Lejeune_T4

A baseline panel of tests for exposed veterans could include:

  • A CBC with differential and peripheral smear to assess for anemia, leukemia, thrombocytopenia, and blast cells associated with leukemias, MDS, multiple myeloma, and NHL.19,46,47,52,55,56,60,61
  • CMP evaluates calcium, total protein, renal and liver renal function. Elevated test results may indicate kidney or liver cancer or multiple myeloma.19,27,28,55,56
  • LDH testing may reveal levels that are elevated from tissue damage or high cell turnover in kidney cancer, multiple myeloma, and NHL.19,55,56,60,61
  • Urinalysis with microscopy may detect hematuria, proteinuria and cellular casts in bladder and kidney cancers.13,24,19
  • Low-dose CTs of the chest, abdomen, and pelvis are recommended for early identification of any masses or lymphadenopathy in lung, kidney, liver cancers, and NHL.19,27,28,32,60,61

COST EFFICIENCY

Screening Panel Cost

According to the Medicare Clinical Laboratory Fee Schedule payment cap for 2018, the mean cost for the proposed blood workup was $35 (CBC, $10; CMP, $13; LDH, $8; urinalysis, $4).62 Medicare procedure price schedule for 2025 includes $351 for a CT of the abdomen and pelvis with and without contrast (Current Procedural Terminology [CPT] code 74177) and $187 for a CT of the chest with and without contrast (CPT code 71270).63,64 The total proposed diagnostic screening panel payment cost about $572.

Cancer Care Cost

The average cost for initial cancer care across all cancer sites from 2007 to 2013 was $43,516 per patient; Camp Lejeune-associated cancers ranged from $26,443 for bladder cancer to $89,947 for esophageal cancer care.64 Further, the last year of life cost across all cancer sites averaged $109,727, and Camp Lejeune-associated cancer types ranged from $76,101 for breast cancer to $169,588 for leukemia.65

CONCLUSIONS

From 1953 to 1985, up to 1 million military personnel, civilian workers, and their families stationed at Camp Lejeune were unknowingly exposed to toxic and carcinogenic VOCs, which are associated with = 10 cancers, including bladder, kidney, esophageal, liver, lung, breast, and hematologic malignancies.1-4 Some veterans may be asymptomatic, whereas others present with subtle or specific symptoms that can vary by individual and the type and stage of cancer. HCPs have an opportunity to improve patient outcomes through awareness in identifying symptoms associated with Camp Lejeune water exposure and performing a thorough baseline physical examination, especially noting lymphadenopathy, unexplained weight loss, or masses, which can guide further diagnostic evaluation. Timely screening can identify cancers earlier, reducing delays in care, mitigating the cost burden associated with advanced-stage cancer treatment, improving survival outcomes, and enhancing quality of life. Primary care and internal medicine HCPs specifically play a crucial role in early recognition, physical assessment, and appropriate screening tools. A proposed panel includes CBC with differential and peripheral smear, CMP, LDH, urinalysis, and low-dose CTs of the chest, abdomen and pelvis. Implementation should be guided by clinical judgment and patient-specific risk factors. The proposed diagnostic screening panel is a small price to pay for those who served in any capacity at Camp Lejeune.

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  51. American Cancer Society. Signs and symptoms of myelodysplastic syndrome (MDS). Updated November 21, 2024. Accessed March 3, 2026. https://www.cancer.org/cancer/types/myelodysplastic-syndrome/detection-diagnosis-staging/signs-symptoms.html
  52. American Cancer Society. Tests for myelodysplastic syndromes (MDS). Updated November 21, 2024. Accessed March 3, 2026. https://www.cancer.org/cancer/types/myelodysplastic-syndrome/detection-diagnosis-staging/how-diagnosed.html
  53. SEER. Cancer stat facts: myeloma. Accessed March 3, 2026. https://seer.cancer.gov/statfacts/html/mulmy.html
  54. American Cancer Society. Signs and symptoms of multiple myeloma. Updated February 28, 2025. Accessed March 3, 2026. https://www.cancer.org/cancer/types/multiple-myeloma/detection-diagnosis-staging/signs-symptoms.html
  55. American Cancer Society. Tests for multiple myeloma. Updated February 28, 2025. Accessed March 3, 2026. https://www.cancer.org/cancer/types/multiple-myeloma/detection-diagnosis-staging/testing.html
  56. Laubach JP. Multiple myeloma: clinical features, laboratory manifestations, and diagnosis. UpToDate. Updated April 28, 2025. Accessed March 3, 2026. https://www.uptodate.com/contents/multiple-myeloma-clinical-features-laboratory-manifestations-and-diagnosis
  57. Hillengass J, Usmani S, Rajkumar SV, et al. International Myeloma Working Group consensus recommendations on imaging in monoclonal plasma cell disorders. Lancet Oncol. 2019;20:e302-e312. doi:10.1016/S1470-2045(19)30309-2
  58. SEER. Cancer stat facts: non-Hodgkin lymphoma. Accessed March 3, 2026. https://seer.cancer.gov/statfacts/html/nhl.html
  59. American Cancer Society. Signs and symptoms of non-Hodgkin lymphoma. Updated February 15, 2024. Accessed March 3, 2026. https://www.cancer.org/cancer/types/non-hodgkin-lymphoma/detection-diagnosis-staging/signs-symptoms.html
  60. National Cancer Institute. Non-Hodgkin lymphoma treatment (PDQ®)–patient version. Updated August 22, 2024. Accessed March 3, 2026. https://www.cancer.gov/types/lymphoma/patient/adult-nhl-treatment-pdq
  61. American Cancer Society. Tests for non-Hodgkin lymphoma. Updated February 15, 2024. Accessed March 3, 2026. https://www.cancer.org/cancer/types/non-hodgkin-lymphoma/detection-diagnosis-staging/how-diagnosed.html
  62. College of American Pathologists. Medicare clinical laboratory fee schedule. Published November 2017. Accessed March 3, 2026. https://documents.cap.org/documents/2018-final-medicare-clfs-rates.pdf
  63. Medicare.gov. Procedure price lookup for outpatient services. Accessed March 3, 2026. https://www.medicare.gov/procedure-price-lookup/cost/71270/
  64. Medicare.gov. Procedure price lookup for outpatient services. Accessed March 3, 2026. https://www.medicare.gov/procedure-price-lookup/cost/74177/
  65. National Cancer Institute. Cancer trends progress report: financial burden of cancer care. Updated April 2025. Accessed March 3, 2026. https://progressreport.cancer.gov/after/economic_burden
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Author disclosures The authors report no actual or potential conflicts of interest regarding this article.

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Correspondence: Christi Blake (christi.a.blake@gmail.com)

Fed Pract. 2026;43(suppl 2). Published online May 15. doi:10.12788/fp.0696

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Author disclosures The authors report no actual or potential conflicts of interest regarding this article.

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Correspondence: Christi Blake (christi.a.blake@gmail.com)

Fed Pract. 2026;43(suppl 2). Published online May 15. doi:10.12788/fp.0696

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Christi A. Blake, DMS, MHS, PA-C, MLS(ASCP)CMa; Kirsten N. Brondstater, DMSc, MSPAS, PA-Ca

Author affiliations aShenandoah University Doctor of Medical Science Program, Winchester, Virginia

Author disclosures The authors report no actual or potential conflicts of interest regarding this article.

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

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Fed Pract. 2026;43(suppl 2). Published online May 15. doi:10.12788/fp.0696

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Clinical awareness of cancers associated with Camp Lejeune water contamination exposure remains limited despite legal and policy advances. Gaps persist in early symptom recognition and timely diagnostic evaluation before a definitive cancer diagnosis among exposed personnel. This may represent missed opportunities for earlier identification of volatile organic compounds (VOCs)-related cancers and for less invasive treatment options for veterans in this high-risk population.

Federal health care practitioners (HCPs), especially those in primary care and internal medicine, are uniquely positioned to bridge this gap. By improving the recognition of symptoms, pertinent physical examination findings, and implementing a diagnostic screening panel, HCPs can support accurate diagnoses and facilitate earlier treatment to improve health and quality of life for this population.

From 1953 to 1985, as many as 1 million military personnel, civilian workers, and their families stationed at US Marine Corps Base Camp Lejeune were unknowingly exposed to toxic and carcinogenic chemicals in drinking and bathing water.1 Three of the 8 main water sources on base were contaminated with VOCs, which are associated with multiple cancers.1-3

The US Department of Veterans Affairs (VA) recognizes 15 conditions associated with Camp Lejeune contaminated water exposure for VA benefits, including 10 cancers: adult leukemia; aplastic anemia and other myelodysplastic syndromes (MDS); bladder, esophageal, kidney, liver, breast (male and female), and lung cancers; multiple myeloma; and non-Hodgkin lymphoma (NHL).4

BACKGROUND

Established in 1942, Camp Lejeune is an important Marine Corps training installation. Between 1953 and 1985, multiple on-base water systems were contaminated with VOCs, including trichloroethylene (TCE), perchloroethylene (PCE), benzene, and vinyl chloride, due to improper waste disposal and industrial runoff from on- and off-base sources.5 Tarawa Terrace water treatment plant (WTP) was contaminated primarily with PCE from November 1957 to February 1987. Hadnot Point WTP was contaminated with TCE from August 1953 to December 1984, along with PCE, and benzene, toluene, ethylbenzene, and xylene (BTEX). Holcomb Boulevard WTP, established in 1972, was contaminated with TCE from June 1972 to February 1985.2 These contaminants entered the drinking and bathing water supply over decades, and exposure often occurred concurrently across = 1 VOC, compounding health risks.2,3 This prolonged 32-year VOC exposure window underlies current concerns regarding long-term cancer risk among affected service members, civilian employees, and family members. Epidemiologic research has found statistically significant associations between VOC exposure and multiple cancers, neurologic conditions, and reproductive issues.6 Specifically, TCE is associated with higher risks of hematologic cancers, multiple myeloma, NHL, and kidney cancer.3 PCE is linked with kidney cancer, benzene with multiple myeloma and NHL, and vinyl chloride with hepatobiliary cancers.3 A cohort mortality study compared Camp Lejeune personnel with a control group at Camp Pendleton from 1972 to 1985 and found a 3-fold higher incidence or mortality rate for kidney, esophageal, and female breast cancers, leukemia, and lymphoma among exposed Camp Lejeune personnel.6 Notably, personnel assigned to Camp Lejeune for as little as 6 months faced up to a 6-fold increase in cancer risk; the average military assignment between 1975 and 1985 was 18 months.3,6

Honoring America's Veterans and Caring for Camp Lejeune Families Act of 2012, the Sergeant First Class Heath Robinson Honoring Our Promise to Address Comprehensive Toxics (PACT) Act of 2022, the Camp Lejeune Justice Act of 2022, and the pending Ensuring Justice for Camp Lejeune Victims Act of 2025 provide health care and legal resources for personnel and families affected by Camp Lejeune’s contaminated water.6-8 These laws acknowledge associations between exposure and specific health conditions and expanded health care, benefits, and legal recourse for affected veterans, survivors, and their families.8,9

CANCERS LINKED TO CAMP LEJEUNE

Camp Lejeune VOC-contaminated water exposure is associated with solid tumor and hematologic cancers. Symptoms, physical examination findings, and diagnostic considerations vary by cancer type (Table 1).

0526FED-AVAHO-Lejeune_T1

Bladder Cancer

The US incidence rate of bladder cancer for both males and females is 18 per 100,000 individuals per year, with a death rate of 4.1 per 100,000 individuals per year, and a 2.1% lifetime diagnosis risk.10 Personnel exposed to VOCs at Camp Lejeune had a 9% higher risk of developing bladder cancer and a 2% increased mortality compared with an unexposed control group at Camp Pendleton.1,7 Other bladder cancer subtypes at increased risk are papillary transitional cell carcinoma, nonpapillary transition cell carcinoma, and urothelial carcinoma.7 This is consistent with prior research that found PCE exposure is associated with an increased risk for bladder cancer.3,7,11 Smoking and tobacco use remain significant risk factors for bladder cancer.12

Symptomatology. The most common symptom associated with bladder cancer is painless hematuria (gross or microscopic). Other often delayed symptoms include urinary frequency, urgency, or nocturia.13,14

Diagnostics. Screening tests include urinalysis for hematuria, urine cytology, and cystoscopy with biopsy as the gold standard for diagnosis and staging.15,16

Kidney Cancer

The US incidence rate of kidney cancer and renal pelvis cancer for both males and females is 17.5 per 100,000 individuals per year, with a death rate of 3.4 per 100,000, and a 1.8% lifetime diagnosis risk.17 Camp Lejeune personnel exposed to VOCs had a 6% increased risk of developing kidney cancer and renal pelvis cancer and a 21% higher mortality risk compared with Camp Pendleton controls.1,7 Subtypes at risk include renal cell carcinoma and papillary carcinoma.7 This is consistent with prior research that found exposures to TCE and PCE are associated with a 3-fold increased risk of kidney cancer.3,7

Symptomatology. Hematuria, flank pain, and a palpable abdominal mass are common symptoms associated with kidney cancer. In advanced stages, other symptoms may include left-sided varicocele, anemia, weight loss, fatigue, fever, and night sweats.18

Diagnostics. Screening tests include urinalysis to assess the presence of blood, complete blood count (CBC) to assess anemia, calcium (elevated), and lactate dehydrogenase (LDH), which may be elevated. Imaging strategies include abdominal computed tomography (CT), magnetic resonance imaging (MRI), or ultrasound.19

Esophageal Cancer

The US incidence rate of esophageal cancer for both males and females is 4.2 per 100,000 individuals per year, the death rate is 3.7 per 100,000 individuals per year, and a 0.5% lifetime diagnosis risk.20 VOC-exposed Camp Lejeune personnel had a 27% increased incidence and 25% increased mortality compared with the control group.1,7 Esophageal cancer subtypes at elevated risk include squamous cell carcinoma and adenocarcinoma. This is consistent with prior research that found Camp Lejeune water exposure is associated with a 3-fold increased risk for esophageal cancer.7 Additional risk factors include history of smoking and alcohol use.21

Symptomatology. Esophageal cancer is often asymptomatic with potential symptoms that include dysphagia, hoarseness, and weight loss in advanced disease.22

Diagnostics. Endoscopy with biopsy is the definitive method for diagnosis.23

Liver Cancer

The US incidence rate of liver cancer and intrahepatic bile duct cancer for both males and females is 9.4 per 100,000 individuals per year, with a death rate of 6.6 per 100,000 individuals per year, and a 1.1% lifetime diagnosis risk.24 VOC-exposed personnel had a 1% higher mortality than controls.1

Symptomatology. Liver cancer is often asymptomatic and appears in late stages.25 Common symptoms include right upper quadrant pain, early satiety, nausea, vomiting, loss of appetite, weight loss, ascites, jaundice, and abnormal bleeding or bruising.25,26

Diagnostics. Diagnostic tests may include an ultrasound, CT, or MRI. Additional laboratory testing may include liver function, a-fetoprotein blood, CBC, renal function, calcium, and hepatitis panel screening for hepatitis B and C.27,28

Lung Cancer

The US incidence rate of lung cancer for both males and females is 47.8 per 100,000 individuals per year, with a death rate of 31.5 per 100,000 individuals per year, and a 5.4% lifetime diagnosis risk.29 VOC-exposed personnel had a 16% increased risk and 19% higher mortality.1,7 Subtypes include large cell, small cell, non-small cell, squamous cell, and adenocarcinoma.7 Smoking is an additional risk factor.30

Symptomatology. Symptoms of lung cancer include cough, shortness of breath, chest pain worse with deep breathing, unexplained weight loss, fatigue, night sweats, and recurrent fevers. Advanced stages may metastasize or spread to the liver, bones, and brain.31

Diagnostics. Low-dose CT and chest X-ray are used for screening.32

Breast Cancer

The US incidence rate of female breast cancer is 130.8 per 100,000 individuals per year, with a death rate of 19.2 per 100,000 individuals per year, and a 13.0% lifetime risk of diagnosis.33 For female VOC-exposed personnel, there was an equal risk of developing breast cancer as the control group.1 However, exposed females at Camp Lejeune had a 23% higher mortality risk compared to the control group.7 Breast cancer subtypes among females include ductal carcinoma, lobular carcinoma, and ductal-lobular carcinoma.1

The US incidence rate of male breast cancer is 1.3 per 100,000 individuals per year, with a death rate of 0.3 per 100,000 individuals per year.34,35 The lifetime risk for males developing breast cancer is 137.7 per 100,000 and about 70 to 100 times less common in men than women.36

Male personnel exposed at Camp Lejeune had a 4% increased risk for developing breast cancer compared to Camp Pendleton.7 However, mortality was lower in the Camp Lejeune group.1 Although male breast cancer is rare, males at Camp Lejeune had a higher incidence, indicating a link between TCE, PCE, vinyl chloride exposures and male breast cancer.37 Male breast cancer is more often diagnosed in advanced stages than female breast cancer due to the lack of awareness or absence of routine screenings.38 The most common breast cancer type in males is invasive ductal carcinoma, accounting for 85% to 90% of cases; lobular carcinoma is the second most common type.39

Symptomatology. In both females and males, breast cancer symptoms include painless, firm mass or lump in the breast (left breast slightly more common than right), skin changes or dimpling, nipple retraction or turning inward, and nipple discharge. Breast cancer can spread to the lymph nodes and can be appreciated in axilla or clavicular regions.40

Diagnostics. The diagnostic evaluation for breast cancer is similar for females and males. It includes a clinical breast examination, diagnostic mammogram, and ultrasound.41 Mammograms can distinguish between gynecomastia and cancer, especially in males.42 A core or fine needle biopsy is needed to confirm diagnosis.41

Adult Leukemia

The US incidence rate of leukemia for both male and female was 14.4 per 100,000 individuals per year, with a death rate of 5.8 per 100,000 individuals per year, and a 1.5% lifetime diagnosis risk.43

VOC-exposed personnel had a 7% higher risk of developing leukemia and a 13% increased mortality risk compared with the control group.1,7 Subtypes of leukemia at risk included a 38% increased incidence of acute myeloid/monocytic leukemia (AML) and a 2% increased incidence of chronic lymphocytic leukemia (CLL).1 Benzene and TCE exposures are known risk factors for AML and other leukemias.7 Personnel at Camp Lejeune had 3 times the incidence or mortality for leukemia, specifically AML mortality at 20%.7 Smoking is an additional risk factor for certain leukemias, especially AML.30

Symptomatology. Symptoms associated with leukemia are often nonspecific and may include fatigue, pallor, easy bruising or bleeding (skin or gums), recurrent infections secondary to neutropenia, fever, night sweats, pain or feeling full after a small meal due to enlarged spleen or liver, and weight loss.44,45

Diagnostics. An initial screening includes a CBC with differential, a peripheral smear to detect the presence of blast cells, as well as Auer rods in myeloid blast cells in AML or smudge cells in CLL. Confirmatory tests may include bone marrow biopsy or flow cytometry. A referral to a hematologist is recommended for any suspected leukemia.46,47

Myelodysplastic Syndromes

Aplastic anemia and MDS are considered rare disorders.48 Aplastic anemia is a nonmalignant bone marrow failure disorder with pancytopenia and hypocellular bone marrow due to the loss of hematopoietic stem cells.48 MDS is a type of hematopoietic cancer where the bone marrow produces abnormal blood cells or does not make enough healthy cells.49 This can lead to an increased risk for infection, cytopenias, neutropenia, refractory anemia, and thrombocytopenia, and progression to AML in some patients.49

The reported US incidence of MDS from 1975 to 2013 was 6.7 per 100,000 for males and 3.7 per 100,000 for females.50 Benzene exposure is linked to MDS and a known cause of AML.1 VOC-exposed personnel had a 68% increased risk of developing MDS and a 2.3-fold increased mortality risk compared to controls.1,7

Symptomatology. Some patients are asymptomatic at diagnosis.51 Symptoms related to cytopenia include fatigue, pallor, purpura, petechiae, bleeding of skin, gum, or nose, recurrent infections, fever, bone pain, loss of appetite, and weight loss.50,51

Diagnostics. Initial workup includes a CBC with differential to assess for anemia, white blood cell and absolute neutrophil counts (low), and thrombocytopenia.52 A peripheral blood smear may show myeloid blast cells. A bone marrow aspiration and biopsy, flow cytometry, and cytogenetic or molecular testing may be performed. If MDS is suspected, a referral to a hematologist should be considered.52

Multiple Myeloma

The US incidence rate of multiple myeloma for both males and females is 7.3 per 100,000 individuals per year, with a mortality rate of 2.9 per 100,000 individuals per year, and a 0.8% lifetime diagnosis risk.53 VOC-exposed personnel had a 13% increased risk of developing multiple myeloma and an 8% increased mortality risk compared to unexposed personnel.1,7

Symptomatology. Multiple myeloma may be asymptomatic in early stages. The most common presenting symptom is bone pain, especially in the back, hips, and long bones, due to hypercalcemia from increased reabsorption, plasma cell tumor overgrowth in the bone marrow, and lytic lesions.54 Additional symptoms include fatigue and pallor related to anemia, leukopenia, thrombocytopenia, recurrent infections, extreme thirst, frequent urination, dehydration, confusion associated with hypercalcemia, peripheral neuropathy, loss of appetite, weight loss, and renal impairment or failure.54

Diagnostics. Testing considerations include a CBC with a peripheral blood smear to evaluate anemia and rouleaux formation of red blood cells (seen in > 50% of patients with multiple myeloma), comprehensive metabolic panel (CMP) to assess kidney function, calcium levels (elevated), serum and urine protein electrophoresis with immunofixation to detect monoclonal protein (detected in > 80% of patients with multiple myeloma) and Bence-Jones proteins, serum free light chain assay, and a bone marrow biopsy for diagnosis.55,56

MRI of the spine and pelvis is the most sensitive to detecting bone marrow involvement and focal lesions before lytic lesion progression occurs and for assessing spinal cord compression.57 PET/CT is more sensitive at detecting extramedullary disease, outside of the spine, and for patients that cannot undergo MRI.57 A whole-body low-dose CT, either alone or with PET, is more sensitive than an X-ray at detecting lytic lesions, fractures, or osteoporosis associated with multiple myeloma.57

Non-Hodgkin Lymphoma

The US incidence rate of NHL for both males and females are 18.7 per 100,000 individuals per year, the death rate is 4.9 per 100,000 individuals per year, and a 2% lifetime diagnosis risk.58 VOC-exposed personnel had a 1% higher risk of developing NHL and a decreased mortality risk compared to the control group.1,7 Specific NHL subtypes with increased risk in the exposed cohort are mantle cell (26%), follicular (7%), Burkitt (53%), and marginal zone B-cell (45%).7

Symptomatology. NHL often presents with painless lymphadenopathy or enlarged lymph nodes involving the cervical, axillary, inguinal regions.59,60 Other symptoms include frequent infections, unexplained bruising, weight loss, and “B symptoms,” such as fever and night sweats.59,60 Some patients develop a mediastinal mass in the thorax, which if large may lead to cough or shortness of breath.59

Diagnostics. The initial diagnostic workup includes CBC with differential and LDH, which may be elevated.60,61 Imaging may begin with a chest X-ray to assess for a mediastinal mass; however, CTs of the chest, abdomen, and pelvis provide more detail to better assess for NHL. Whole body PET/CT is considered the gold standard for assessing and staging systemic involvement. If enlarged lymph nodes are present, a biopsy can confirm the subtype of NHL.60,61

PHYSICAL EXAMINATION

A focused physical examination may aid HCPs in early detection of the cancers associated with Camp Lejeune (Table 2). The physical examination can guide diagnostic testing and imaging for further assessment and workup for VOC-related cancers.

0526FED-AVAHO-Lejeune_T2

Proposed Diagnostic Screening Panel

Primary care and internal medicine HCPs have the opportunity to improve patient health outcomes by implementing a targeted diagnostic screening panel for identified veterans previously stationed at Camp Lejeune. Early identification of cancers associated with VOCs exposure can facilitate earlier treatment interventions and improve health and quality of life outcomes. The following diagnostic screening panel outlines a potential cost-effective strategy for evaluating and detecting the 10 cancers associated with VOC exposure in Camp Lejeune water.

Baseline Screening

Implementing a diagnostic screening panel in this high-risk cohort can lead to earlier diagnosis, reduce mortality, and improve patient outcomes through early intervention, which in turn may result in less invasive treatment. This approach may also reduce health care costs by avoiding costs associated with delayed diagnosis and advanced-stage cancer care (Tables 3 and 4).

0526FED-AVAHO-Lejeune_T30526FED-AVAHO-Lejeune_T4

A baseline panel of tests for exposed veterans could include:

  • A CBC with differential and peripheral smear to assess for anemia, leukemia, thrombocytopenia, and blast cells associated with leukemias, MDS, multiple myeloma, and NHL.19,46,47,52,55,56,60,61
  • CMP evaluates calcium, total protein, renal and liver renal function. Elevated test results may indicate kidney or liver cancer or multiple myeloma.19,27,28,55,56
  • LDH testing may reveal levels that are elevated from tissue damage or high cell turnover in kidney cancer, multiple myeloma, and NHL.19,55,56,60,61
  • Urinalysis with microscopy may detect hematuria, proteinuria and cellular casts in bladder and kidney cancers.13,24,19
  • Low-dose CTs of the chest, abdomen, and pelvis are recommended for early identification of any masses or lymphadenopathy in lung, kidney, liver cancers, and NHL.19,27,28,32,60,61

COST EFFICIENCY

Screening Panel Cost

According to the Medicare Clinical Laboratory Fee Schedule payment cap for 2018, the mean cost for the proposed blood workup was $35 (CBC, $10; CMP, $13; LDH, $8; urinalysis, $4).62 Medicare procedure price schedule for 2025 includes $351 for a CT of the abdomen and pelvis with and without contrast (Current Procedural Terminology [CPT] code 74177) and $187 for a CT of the chest with and without contrast (CPT code 71270).63,64 The total proposed diagnostic screening panel payment cost about $572.

Cancer Care Cost

The average cost for initial cancer care across all cancer sites from 2007 to 2013 was $43,516 per patient; Camp Lejeune-associated cancers ranged from $26,443 for bladder cancer to $89,947 for esophageal cancer care.64 Further, the last year of life cost across all cancer sites averaged $109,727, and Camp Lejeune-associated cancer types ranged from $76,101 for breast cancer to $169,588 for leukemia.65

CONCLUSIONS

From 1953 to 1985, up to 1 million military personnel, civilian workers, and their families stationed at Camp Lejeune were unknowingly exposed to toxic and carcinogenic VOCs, which are associated with = 10 cancers, including bladder, kidney, esophageal, liver, lung, breast, and hematologic malignancies.1-4 Some veterans may be asymptomatic, whereas others present with subtle or specific symptoms that can vary by individual and the type and stage of cancer. HCPs have an opportunity to improve patient outcomes through awareness in identifying symptoms associated with Camp Lejeune water exposure and performing a thorough baseline physical examination, especially noting lymphadenopathy, unexplained weight loss, or masses, which can guide further diagnostic evaluation. Timely screening can identify cancers earlier, reducing delays in care, mitigating the cost burden associated with advanced-stage cancer treatment, improving survival outcomes, and enhancing quality of life. Primary care and internal medicine HCPs specifically play a crucial role in early recognition, physical assessment, and appropriate screening tools. A proposed panel includes CBC with differential and peripheral smear, CMP, LDH, urinalysis, and low-dose CTs of the chest, abdomen and pelvis. Implementation should be guided by clinical judgment and patient-specific risk factors. The proposed diagnostic screening panel is a small price to pay for those who served in any capacity at Camp Lejeune.

Clinical awareness of cancers associated with Camp Lejeune water contamination exposure remains limited despite legal and policy advances. Gaps persist in early symptom recognition and timely diagnostic evaluation before a definitive cancer diagnosis among exposed personnel. This may represent missed opportunities for earlier identification of volatile organic compounds (VOCs)-related cancers and for less invasive treatment options for veterans in this high-risk population.

Federal health care practitioners (HCPs), especially those in primary care and internal medicine, are uniquely positioned to bridge this gap. By improving the recognition of symptoms, pertinent physical examination findings, and implementing a diagnostic screening panel, HCPs can support accurate diagnoses and facilitate earlier treatment to improve health and quality of life for this population.

From 1953 to 1985, as many as 1 million military personnel, civilian workers, and their families stationed at US Marine Corps Base Camp Lejeune were unknowingly exposed to toxic and carcinogenic chemicals in drinking and bathing water.1 Three of the 8 main water sources on base were contaminated with VOCs, which are associated with multiple cancers.1-3

The US Department of Veterans Affairs (VA) recognizes 15 conditions associated with Camp Lejeune contaminated water exposure for VA benefits, including 10 cancers: adult leukemia; aplastic anemia and other myelodysplastic syndromes (MDS); bladder, esophageal, kidney, liver, breast (male and female), and lung cancers; multiple myeloma; and non-Hodgkin lymphoma (NHL).4

BACKGROUND

Established in 1942, Camp Lejeune is an important Marine Corps training installation. Between 1953 and 1985, multiple on-base water systems were contaminated with VOCs, including trichloroethylene (TCE), perchloroethylene (PCE), benzene, and vinyl chloride, due to improper waste disposal and industrial runoff from on- and off-base sources.5 Tarawa Terrace water treatment plant (WTP) was contaminated primarily with PCE from November 1957 to February 1987. Hadnot Point WTP was contaminated with TCE from August 1953 to December 1984, along with PCE, and benzene, toluene, ethylbenzene, and xylene (BTEX). Holcomb Boulevard WTP, established in 1972, was contaminated with TCE from June 1972 to February 1985.2 These contaminants entered the drinking and bathing water supply over decades, and exposure often occurred concurrently across = 1 VOC, compounding health risks.2,3 This prolonged 32-year VOC exposure window underlies current concerns regarding long-term cancer risk among affected service members, civilian employees, and family members. Epidemiologic research has found statistically significant associations between VOC exposure and multiple cancers, neurologic conditions, and reproductive issues.6 Specifically, TCE is associated with higher risks of hematologic cancers, multiple myeloma, NHL, and kidney cancer.3 PCE is linked with kidney cancer, benzene with multiple myeloma and NHL, and vinyl chloride with hepatobiliary cancers.3 A cohort mortality study compared Camp Lejeune personnel with a control group at Camp Pendleton from 1972 to 1985 and found a 3-fold higher incidence or mortality rate for kidney, esophageal, and female breast cancers, leukemia, and lymphoma among exposed Camp Lejeune personnel.6 Notably, personnel assigned to Camp Lejeune for as little as 6 months faced up to a 6-fold increase in cancer risk; the average military assignment between 1975 and 1985 was 18 months.3,6

Honoring America's Veterans and Caring for Camp Lejeune Families Act of 2012, the Sergeant First Class Heath Robinson Honoring Our Promise to Address Comprehensive Toxics (PACT) Act of 2022, the Camp Lejeune Justice Act of 2022, and the pending Ensuring Justice for Camp Lejeune Victims Act of 2025 provide health care and legal resources for personnel and families affected by Camp Lejeune’s contaminated water.6-8 These laws acknowledge associations between exposure and specific health conditions and expanded health care, benefits, and legal recourse for affected veterans, survivors, and their families.8,9

CANCERS LINKED TO CAMP LEJEUNE

Camp Lejeune VOC-contaminated water exposure is associated with solid tumor and hematologic cancers. Symptoms, physical examination findings, and diagnostic considerations vary by cancer type (Table 1).

0526FED-AVAHO-Lejeune_T1

Bladder Cancer

The US incidence rate of bladder cancer for both males and females is 18 per 100,000 individuals per year, with a death rate of 4.1 per 100,000 individuals per year, and a 2.1% lifetime diagnosis risk.10 Personnel exposed to VOCs at Camp Lejeune had a 9% higher risk of developing bladder cancer and a 2% increased mortality compared with an unexposed control group at Camp Pendleton.1,7 Other bladder cancer subtypes at increased risk are papillary transitional cell carcinoma, nonpapillary transition cell carcinoma, and urothelial carcinoma.7 This is consistent with prior research that found PCE exposure is associated with an increased risk for bladder cancer.3,7,11 Smoking and tobacco use remain significant risk factors for bladder cancer.12

Symptomatology. The most common symptom associated with bladder cancer is painless hematuria (gross or microscopic). Other often delayed symptoms include urinary frequency, urgency, or nocturia.13,14

Diagnostics. Screening tests include urinalysis for hematuria, urine cytology, and cystoscopy with biopsy as the gold standard for diagnosis and staging.15,16

Kidney Cancer

The US incidence rate of kidney cancer and renal pelvis cancer for both males and females is 17.5 per 100,000 individuals per year, with a death rate of 3.4 per 100,000, and a 1.8% lifetime diagnosis risk.17 Camp Lejeune personnel exposed to VOCs had a 6% increased risk of developing kidney cancer and renal pelvis cancer and a 21% higher mortality risk compared with Camp Pendleton controls.1,7 Subtypes at risk include renal cell carcinoma and papillary carcinoma.7 This is consistent with prior research that found exposures to TCE and PCE are associated with a 3-fold increased risk of kidney cancer.3,7

Symptomatology. Hematuria, flank pain, and a palpable abdominal mass are common symptoms associated with kidney cancer. In advanced stages, other symptoms may include left-sided varicocele, anemia, weight loss, fatigue, fever, and night sweats.18

Diagnostics. Screening tests include urinalysis to assess the presence of blood, complete blood count (CBC) to assess anemia, calcium (elevated), and lactate dehydrogenase (LDH), which may be elevated. Imaging strategies include abdominal computed tomography (CT), magnetic resonance imaging (MRI), or ultrasound.19

Esophageal Cancer

The US incidence rate of esophageal cancer for both males and females is 4.2 per 100,000 individuals per year, the death rate is 3.7 per 100,000 individuals per year, and a 0.5% lifetime diagnosis risk.20 VOC-exposed Camp Lejeune personnel had a 27% increased incidence and 25% increased mortality compared with the control group.1,7 Esophageal cancer subtypes at elevated risk include squamous cell carcinoma and adenocarcinoma. This is consistent with prior research that found Camp Lejeune water exposure is associated with a 3-fold increased risk for esophageal cancer.7 Additional risk factors include history of smoking and alcohol use.21

Symptomatology. Esophageal cancer is often asymptomatic with potential symptoms that include dysphagia, hoarseness, and weight loss in advanced disease.22

Diagnostics. Endoscopy with biopsy is the definitive method for diagnosis.23

Liver Cancer

The US incidence rate of liver cancer and intrahepatic bile duct cancer for both males and females is 9.4 per 100,000 individuals per year, with a death rate of 6.6 per 100,000 individuals per year, and a 1.1% lifetime diagnosis risk.24 VOC-exposed personnel had a 1% higher mortality than controls.1

Symptomatology. Liver cancer is often asymptomatic and appears in late stages.25 Common symptoms include right upper quadrant pain, early satiety, nausea, vomiting, loss of appetite, weight loss, ascites, jaundice, and abnormal bleeding or bruising.25,26

Diagnostics. Diagnostic tests may include an ultrasound, CT, or MRI. Additional laboratory testing may include liver function, a-fetoprotein blood, CBC, renal function, calcium, and hepatitis panel screening for hepatitis B and C.27,28

Lung Cancer

The US incidence rate of lung cancer for both males and females is 47.8 per 100,000 individuals per year, with a death rate of 31.5 per 100,000 individuals per year, and a 5.4% lifetime diagnosis risk.29 VOC-exposed personnel had a 16% increased risk and 19% higher mortality.1,7 Subtypes include large cell, small cell, non-small cell, squamous cell, and adenocarcinoma.7 Smoking is an additional risk factor.30

Symptomatology. Symptoms of lung cancer include cough, shortness of breath, chest pain worse with deep breathing, unexplained weight loss, fatigue, night sweats, and recurrent fevers. Advanced stages may metastasize or spread to the liver, bones, and brain.31

Diagnostics. Low-dose CT and chest X-ray are used for screening.32

Breast Cancer

The US incidence rate of female breast cancer is 130.8 per 100,000 individuals per year, with a death rate of 19.2 per 100,000 individuals per year, and a 13.0% lifetime risk of diagnosis.33 For female VOC-exposed personnel, there was an equal risk of developing breast cancer as the control group.1 However, exposed females at Camp Lejeune had a 23% higher mortality risk compared to the control group.7 Breast cancer subtypes among females include ductal carcinoma, lobular carcinoma, and ductal-lobular carcinoma.1

The US incidence rate of male breast cancer is 1.3 per 100,000 individuals per year, with a death rate of 0.3 per 100,000 individuals per year.34,35 The lifetime risk for males developing breast cancer is 137.7 per 100,000 and about 70 to 100 times less common in men than women.36

Male personnel exposed at Camp Lejeune had a 4% increased risk for developing breast cancer compared to Camp Pendleton.7 However, mortality was lower in the Camp Lejeune group.1 Although male breast cancer is rare, males at Camp Lejeune had a higher incidence, indicating a link between TCE, PCE, vinyl chloride exposures and male breast cancer.37 Male breast cancer is more often diagnosed in advanced stages than female breast cancer due to the lack of awareness or absence of routine screenings.38 The most common breast cancer type in males is invasive ductal carcinoma, accounting for 85% to 90% of cases; lobular carcinoma is the second most common type.39

Symptomatology. In both females and males, breast cancer symptoms include painless, firm mass or lump in the breast (left breast slightly more common than right), skin changes or dimpling, nipple retraction or turning inward, and nipple discharge. Breast cancer can spread to the lymph nodes and can be appreciated in axilla or clavicular regions.40

Diagnostics. The diagnostic evaluation for breast cancer is similar for females and males. It includes a clinical breast examination, diagnostic mammogram, and ultrasound.41 Mammograms can distinguish between gynecomastia and cancer, especially in males.42 A core or fine needle biopsy is needed to confirm diagnosis.41

Adult Leukemia

The US incidence rate of leukemia for both male and female was 14.4 per 100,000 individuals per year, with a death rate of 5.8 per 100,000 individuals per year, and a 1.5% lifetime diagnosis risk.43

VOC-exposed personnel had a 7% higher risk of developing leukemia and a 13% increased mortality risk compared with the control group.1,7 Subtypes of leukemia at risk included a 38% increased incidence of acute myeloid/monocytic leukemia (AML) and a 2% increased incidence of chronic lymphocytic leukemia (CLL).1 Benzene and TCE exposures are known risk factors for AML and other leukemias.7 Personnel at Camp Lejeune had 3 times the incidence or mortality for leukemia, specifically AML mortality at 20%.7 Smoking is an additional risk factor for certain leukemias, especially AML.30

Symptomatology. Symptoms associated with leukemia are often nonspecific and may include fatigue, pallor, easy bruising or bleeding (skin or gums), recurrent infections secondary to neutropenia, fever, night sweats, pain or feeling full after a small meal due to enlarged spleen or liver, and weight loss.44,45

Diagnostics. An initial screening includes a CBC with differential, a peripheral smear to detect the presence of blast cells, as well as Auer rods in myeloid blast cells in AML or smudge cells in CLL. Confirmatory tests may include bone marrow biopsy or flow cytometry. A referral to a hematologist is recommended for any suspected leukemia.46,47

Myelodysplastic Syndromes

Aplastic anemia and MDS are considered rare disorders.48 Aplastic anemia is a nonmalignant bone marrow failure disorder with pancytopenia and hypocellular bone marrow due to the loss of hematopoietic stem cells.48 MDS is a type of hematopoietic cancer where the bone marrow produces abnormal blood cells or does not make enough healthy cells.49 This can lead to an increased risk for infection, cytopenias, neutropenia, refractory anemia, and thrombocytopenia, and progression to AML in some patients.49

The reported US incidence of MDS from 1975 to 2013 was 6.7 per 100,000 for males and 3.7 per 100,000 for females.50 Benzene exposure is linked to MDS and a known cause of AML.1 VOC-exposed personnel had a 68% increased risk of developing MDS and a 2.3-fold increased mortality risk compared to controls.1,7

Symptomatology. Some patients are asymptomatic at diagnosis.51 Symptoms related to cytopenia include fatigue, pallor, purpura, petechiae, bleeding of skin, gum, or nose, recurrent infections, fever, bone pain, loss of appetite, and weight loss.50,51

Diagnostics. Initial workup includes a CBC with differential to assess for anemia, white blood cell and absolute neutrophil counts (low), and thrombocytopenia.52 A peripheral blood smear may show myeloid blast cells. A bone marrow aspiration and biopsy, flow cytometry, and cytogenetic or molecular testing may be performed. If MDS is suspected, a referral to a hematologist should be considered.52

Multiple Myeloma

The US incidence rate of multiple myeloma for both males and females is 7.3 per 100,000 individuals per year, with a mortality rate of 2.9 per 100,000 individuals per year, and a 0.8% lifetime diagnosis risk.53 VOC-exposed personnel had a 13% increased risk of developing multiple myeloma and an 8% increased mortality risk compared to unexposed personnel.1,7

Symptomatology. Multiple myeloma may be asymptomatic in early stages. The most common presenting symptom is bone pain, especially in the back, hips, and long bones, due to hypercalcemia from increased reabsorption, plasma cell tumor overgrowth in the bone marrow, and lytic lesions.54 Additional symptoms include fatigue and pallor related to anemia, leukopenia, thrombocytopenia, recurrent infections, extreme thirst, frequent urination, dehydration, confusion associated with hypercalcemia, peripheral neuropathy, loss of appetite, weight loss, and renal impairment or failure.54

Diagnostics. Testing considerations include a CBC with a peripheral blood smear to evaluate anemia and rouleaux formation of red blood cells (seen in > 50% of patients with multiple myeloma), comprehensive metabolic panel (CMP) to assess kidney function, calcium levels (elevated), serum and urine protein electrophoresis with immunofixation to detect monoclonal protein (detected in > 80% of patients with multiple myeloma) and Bence-Jones proteins, serum free light chain assay, and a bone marrow biopsy for diagnosis.55,56

MRI of the spine and pelvis is the most sensitive to detecting bone marrow involvement and focal lesions before lytic lesion progression occurs and for assessing spinal cord compression.57 PET/CT is more sensitive at detecting extramedullary disease, outside of the spine, and for patients that cannot undergo MRI.57 A whole-body low-dose CT, either alone or with PET, is more sensitive than an X-ray at detecting lytic lesions, fractures, or osteoporosis associated with multiple myeloma.57

Non-Hodgkin Lymphoma

The US incidence rate of NHL for both males and females are 18.7 per 100,000 individuals per year, the death rate is 4.9 per 100,000 individuals per year, and a 2% lifetime diagnosis risk.58 VOC-exposed personnel had a 1% higher risk of developing NHL and a decreased mortality risk compared to the control group.1,7 Specific NHL subtypes with increased risk in the exposed cohort are mantle cell (26%), follicular (7%), Burkitt (53%), and marginal zone B-cell (45%).7

Symptomatology. NHL often presents with painless lymphadenopathy or enlarged lymph nodes involving the cervical, axillary, inguinal regions.59,60 Other symptoms include frequent infections, unexplained bruising, weight loss, and “B symptoms,” such as fever and night sweats.59,60 Some patients develop a mediastinal mass in the thorax, which if large may lead to cough or shortness of breath.59

Diagnostics. The initial diagnostic workup includes CBC with differential and LDH, which may be elevated.60,61 Imaging may begin with a chest X-ray to assess for a mediastinal mass; however, CTs of the chest, abdomen, and pelvis provide more detail to better assess for NHL. Whole body PET/CT is considered the gold standard for assessing and staging systemic involvement. If enlarged lymph nodes are present, a biopsy can confirm the subtype of NHL.60,61

PHYSICAL EXAMINATION

A focused physical examination may aid HCPs in early detection of the cancers associated with Camp Lejeune (Table 2). The physical examination can guide diagnostic testing and imaging for further assessment and workup for VOC-related cancers.

0526FED-AVAHO-Lejeune_T2

Proposed Diagnostic Screening Panel

Primary care and internal medicine HCPs have the opportunity to improve patient health outcomes by implementing a targeted diagnostic screening panel for identified veterans previously stationed at Camp Lejeune. Early identification of cancers associated with VOCs exposure can facilitate earlier treatment interventions and improve health and quality of life outcomes. The following diagnostic screening panel outlines a potential cost-effective strategy for evaluating and detecting the 10 cancers associated with VOC exposure in Camp Lejeune water.

Baseline Screening

Implementing a diagnostic screening panel in this high-risk cohort can lead to earlier diagnosis, reduce mortality, and improve patient outcomes through early intervention, which in turn may result in less invasive treatment. This approach may also reduce health care costs by avoiding costs associated with delayed diagnosis and advanced-stage cancer care (Tables 3 and 4).

0526FED-AVAHO-Lejeune_T30526FED-AVAHO-Lejeune_T4

A baseline panel of tests for exposed veterans could include:

  • A CBC with differential and peripheral smear to assess for anemia, leukemia, thrombocytopenia, and blast cells associated with leukemias, MDS, multiple myeloma, and NHL.19,46,47,52,55,56,60,61
  • CMP evaluates calcium, total protein, renal and liver renal function. Elevated test results may indicate kidney or liver cancer or multiple myeloma.19,27,28,55,56
  • LDH testing may reveal levels that are elevated from tissue damage or high cell turnover in kidney cancer, multiple myeloma, and NHL.19,55,56,60,61
  • Urinalysis with microscopy may detect hematuria, proteinuria and cellular casts in bladder and kidney cancers.13,24,19
  • Low-dose CTs of the chest, abdomen, and pelvis are recommended for early identification of any masses or lymphadenopathy in lung, kidney, liver cancers, and NHL.19,27,28,32,60,61

COST EFFICIENCY

Screening Panel Cost

According to the Medicare Clinical Laboratory Fee Schedule payment cap for 2018, the mean cost for the proposed blood workup was $35 (CBC, $10; CMP, $13; LDH, $8; urinalysis, $4).62 Medicare procedure price schedule for 2025 includes $351 for a CT of the abdomen and pelvis with and without contrast (Current Procedural Terminology [CPT] code 74177) and $187 for a CT of the chest with and without contrast (CPT code 71270).63,64 The total proposed diagnostic screening panel payment cost about $572.

Cancer Care Cost

The average cost for initial cancer care across all cancer sites from 2007 to 2013 was $43,516 per patient; Camp Lejeune-associated cancers ranged from $26,443 for bladder cancer to $89,947 for esophageal cancer care.64 Further, the last year of life cost across all cancer sites averaged $109,727, and Camp Lejeune-associated cancer types ranged from $76,101 for breast cancer to $169,588 for leukemia.65

CONCLUSIONS

From 1953 to 1985, up to 1 million military personnel, civilian workers, and their families stationed at Camp Lejeune were unknowingly exposed to toxic and carcinogenic VOCs, which are associated with = 10 cancers, including bladder, kidney, esophageal, liver, lung, breast, and hematologic malignancies.1-4 Some veterans may be asymptomatic, whereas others present with subtle or specific symptoms that can vary by individual and the type and stage of cancer. HCPs have an opportunity to improve patient outcomes through awareness in identifying symptoms associated with Camp Lejeune water exposure and performing a thorough baseline physical examination, especially noting lymphadenopathy, unexplained weight loss, or masses, which can guide further diagnostic evaluation. Timely screening can identify cancers earlier, reducing delays in care, mitigating the cost burden associated with advanced-stage cancer treatment, improving survival outcomes, and enhancing quality of life. Primary care and internal medicine HCPs specifically play a crucial role in early recognition, physical assessment, and appropriate screening tools. A proposed panel includes CBC with differential and peripheral smear, CMP, LDH, urinalysis, and low-dose CTs of the chest, abdomen and pelvis. Implementation should be guided by clinical judgment and patient-specific risk factors. The proposed diagnostic screening panel is a small price to pay for those who served in any capacity at Camp Lejeune.

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  13. National Cancer Institute. Bladder cancer symptoms. Updated February 16, 2023. Accessed March 3, 2026. https://www.cancer.gov/types/bladder/symptoms
  14. American Cancer Society. Bladder cancer signs and symptoms. Updated March 12, 2024. Accessed March 3, 2026. https://www.cancer.org/cancer/types/bladder-cancer/detection-diagnosis-staging/signs-and-symptoms.html
  15. National Cancer Institute. Bladder cancer screening. Updated April 27, 2023. Accessed March 3, 2026. https://www.cancer.gov/types/bladder/screening
  16. American Cancer Society. Tests for bladder cancer. Updated March 12, 2024. Accessed March 3, 2026. https://www.cancer.org/cancer/types/bladder-cancer/detection-diagnosis-staging/how-diagnosed.html
  17. SEER. Cancer stat facts: kidney and renal pelvis cancer. Accessed March 3, 2026. https://seer.cancer.gov/statfacts/html/kidrp.html
  18. American Cancer Society. Kidney cancer signs and symptoms. Updated May 1, 2024. Accessed March 3, 2026. https://www.cancer.org/cancer/types/kidney-cancer/detection-diagnosis-staging/signs-and-symptoms.html
  19. American Cancer Society. Tests for kidney cancer. Updated May 1, 2024. Accessed March 3, 2026. https://www.cancer.org/cancer/types/kidney-cancer/detection-diagnosis-staging/how-diagnosed.html
  20. SEER. Cancer stat facts: esophageal cancer. Accessed March 3, 2026. https://seer.cancer.gov/statfacts/html/esoph.html
  21. Engel LS, Chow WH, Vaughan TL, et al. Population attributable risks of esophageal and gastric cancers. J Natl Cancer Inst. 2003;95(18):1404-1413. doi:10.1093/jnci/djg047
  22. American Cancer Society. Signs and symptoms of esophageal cancer. Updated March 20, 2020. Accessed March 3, 2026. https://www.cancer.org/cancer/types/esophagus-cancer/detection-diagnosis-staging/signs-and-symptoms.html
  23. American Cancer Society. Tests for esophageal cancer. Updated March 20, 2020. Accessed March 3, 2026. https://www.cancer.org/cancer/types/esophagus-cancer/detection-diagnosis-staging/how-diagnosed.html
  24. SEER. Cancer stat facts: liver and intrahepatic bile duct cancer. Accessed March 3, 2026. https://seer.cancer.gov/statfacts/html/livibd.html
  25. American Cancer Society. Signs and symptoms of liver cancer. Updated February 11, 2025. Accessed March 3, 2026. https://www.cancer.org/cancer/types/liver-cancer/detection-diagnosis-staging/signs-symptoms.html
  26. National Cancer Institute. What is liver cancer? Updated May 15, 2024. Accessed March 3, 2026. https://www.cancer.gov/types/liver/what-is-liver-cancer
  27. American Cancer Society. Tests for liver cancer. Updated February 11, 2025. Accessed March 3, 2026. https://www.cancer.org/cancer/types/liver-cancer/detection-diagnosis-staging/how-diagnosed.html
  28. National Cancer Institute. Liver cancer screening. Updated May 15, 2024. Accessed March 3, 2026. https://www.cancer.gov/types/liver/what-is-liver-cancer/screening
  29. SEER. Cancer stat facts: lung cancer. Accessed March 3, 2026. https://seer.cancer.gov/statfacts/html/lungb.html
  30. US Department of Health and Human Services. The Health Consequences of Smoking: A Report of the Surgeon General. Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; 2004. Accessed March 3, 2026. https://www.ncbi.nlm.nih.gov/books/NBK44695/pdf/Bookshelf_NBK44695.pdf
  31. American Cancer Society. Lung cancer signs and symptoms. Updated February 27, 2025. Accessed March 3, 2026. https://www.cancer.org/cancer/types/lung-cancer/detection-diagnosis-staging/signs-symptoms.html
  32. American Cancer Society. Tests for lung cancer. Updated January 29, 2024. Accessed March 3, 2026. https://www.cancer.org/cancer/types/lung-cancer/detection-diagnosis-staging/how-diagnosed.html
  33. SEER. Cancer stat facts: female breast cancer. Accessed March 3, 2026. https://seer.cancer.gov/statfacts/html/breast.html
  34. SEER. SEER*Explorer breast incidence and mortality comparison. Updated July 2, 2025. Accessed March 3, 2026. https://seer.cancer.gov/statistics-network/explorer/application.html
  35. Susan G. Komen. Male breast cancer. Updated June 3, 2025. Accessed March 3, 2026. https://www.komen.org/breast-cancer/facts-statistics/male-breast-cancer/
  36. American Cancer Society. Key statistics for breast cancer in men. Updated January 16, 2025. Accessed March 3, 2026. https://www.cancer.org/cancer/types/breast-cancer-in-men/about/key-statistics.html
  37. Ruckart PZ, Bove FJ, Shanley E 3rd, et al. Evaluation of contaminated drinking water and male breast cancer at Marine Corps Base Camp Lejeune, North Carolina: a case-control study. Environ Health. 2015;14:74. doi:10.1186/s12940-015-0061-4
  38. Culell P, Solernou L, Tarazona J, et al. Male breast cancer: a multicentric study. Breast J. 2007;13:213-215. doi:10.1111/j.1524-4741.2007.00412.x
  39. Giordano SH, Cohen DS, Buzdar AU, et al. Breast carcinoma in men: a population-based study. Cancer. 2004;101:51-57. doi:10.1002/cncr.20312
  40. American Cancer Society. Signs and symptoms of breast cancer in men. Updated April 27, 2018. Accessed March 3, 2026. https://www.cancer.org/cancer/types/breast-cancer-in-men/detection-diagnosis-staging/signs-symptoms.html
  41. American Cancer Society. Tests to help diagnose breast cancer in men. Updated December 20, 2021. Accessed March 3, 2026. https://www.cancer.org/cancer/types/breast-cancer-in-men/detection-diagnosis-staging/how-diagnosed.html
  42. Evans GF, Anthony T, Turnage RH, et al. The diagnostic accuracy of mammography in the evaluation of male breast disease. Am J Surg. 2001;181:96-100. doi:10.1016/S0002-9610(00)00571-7
  43. SEER. Cancer stat facts: leukemia. Accessed March 3, 2026. https://seer.cancer.gov/statfacts/html/leuks.html
  44. American Cancer Society. Signs and symptoms of acute myeloid leukemia (AML). Updated March 20, 2025. Accessed March 3, 2026. https://www.cancer.org/cancer/types/acute-myeloid-leukemia/detection-diagnosis-staging/signs-symptoms.html
  45. American Cancer Society. Signs and symptoms of chronic lymphocytic leukemia (CLL). Updated March 4, 2025. Accessed March 3, 2026. https://www.cancer.org/cancer/types/chronic-lymphocytic-leukemia/detection-diagnosis-staging/signs-symptoms.html
  46. American Cancer Society. Tests for acute myeloid leukemia (AML). Updated March 4, 2025. Accessed March 3, 2026. https://www.cancer.org/cancer/types/acute-myeloid-leukemia/detection-diagnosis-staging/how-diagnosed.html
  47. American Cancer Society. Tests for chronic lymphocytic leukemia (CLL). Updated March 4, 2025. Accessed March 3, 2026. https://www.cancer.org/cancer/types/chronic-lymphocytic-leukemia/detection-diagnosis-staging/how-diagnosed.html
  48. Giudice V, Selleri C. Aplastic anemia: pathophysiology. Semin Hematol. 2022;59:13-20. doi:10.1053/j.seminhematol.2021.12.002
  49. National Cancer Institute. Myelodysplastic syndromes treatment (PDQ®)–patient version. Updated October 4, 2024. Accessed March 3, 2026. https://www.cancer.gov/types/myeloproliferative/patient/myelodysplastic-treatment-pdq
  50. SEER. Cancer statistics review (CSR) 1975-2013: myelodysplastic syndromes. Accessed March 3, 2026. https://seer.cancer.gov/archive/csr/1975_2013/browse_csr.php?sectionSEL=30&pageSEL=sect_30_table.01
  51. American Cancer Society. Signs and symptoms of myelodysplastic syndrome (MDS). Updated November 21, 2024. Accessed March 3, 2026. https://www.cancer.org/cancer/types/myelodysplastic-syndrome/detection-diagnosis-staging/signs-symptoms.html
  52. American Cancer Society. Tests for myelodysplastic syndromes (MDS). Updated November 21, 2024. Accessed March 3, 2026. https://www.cancer.org/cancer/types/myelodysplastic-syndrome/detection-diagnosis-staging/how-diagnosed.html
  53. SEER. Cancer stat facts: myeloma. Accessed March 3, 2026. https://seer.cancer.gov/statfacts/html/mulmy.html
  54. American Cancer Society. Signs and symptoms of multiple myeloma. Updated February 28, 2025. Accessed March 3, 2026. https://www.cancer.org/cancer/types/multiple-myeloma/detection-diagnosis-staging/signs-symptoms.html
  55. American Cancer Society. Tests for multiple myeloma. Updated February 28, 2025. Accessed March 3, 2026. https://www.cancer.org/cancer/types/multiple-myeloma/detection-diagnosis-staging/testing.html
  56. Laubach JP. Multiple myeloma: clinical features, laboratory manifestations, and diagnosis. UpToDate. Updated April 28, 2025. Accessed March 3, 2026. https://www.uptodate.com/contents/multiple-myeloma-clinical-features-laboratory-manifestations-and-diagnosis
  57. Hillengass J, Usmani S, Rajkumar SV, et al. International Myeloma Working Group consensus recommendations on imaging in monoclonal plasma cell disorders. Lancet Oncol. 2019;20:e302-e312. doi:10.1016/S1470-2045(19)30309-2
  58. SEER. Cancer stat facts: non-Hodgkin lymphoma. Accessed March 3, 2026. https://seer.cancer.gov/statfacts/html/nhl.html
  59. American Cancer Society. Signs and symptoms of non-Hodgkin lymphoma. Updated February 15, 2024. Accessed March 3, 2026. https://www.cancer.org/cancer/types/non-hodgkin-lymphoma/detection-diagnosis-staging/signs-symptoms.html
  60. National Cancer Institute. Non-Hodgkin lymphoma treatment (PDQ®)–patient version. Updated August 22, 2024. Accessed March 3, 2026. https://www.cancer.gov/types/lymphoma/patient/adult-nhl-treatment-pdq
  61. American Cancer Society. Tests for non-Hodgkin lymphoma. Updated February 15, 2024. Accessed March 3, 2026. https://www.cancer.org/cancer/types/non-hodgkin-lymphoma/detection-diagnosis-staging/how-diagnosed.html
  62. College of American Pathologists. Medicare clinical laboratory fee schedule. Published November 2017. Accessed March 3, 2026. https://documents.cap.org/documents/2018-final-medicare-clfs-rates.pdf
  63. Medicare.gov. Procedure price lookup for outpatient services. Accessed March 3, 2026. https://www.medicare.gov/procedure-price-lookup/cost/71270/
  64. Medicare.gov. Procedure price lookup for outpatient services. Accessed March 3, 2026. https://www.medicare.gov/procedure-price-lookup/cost/74177/
  65. National Cancer Institute. Cancer trends progress report: financial burden of cancer care. Updated April 2025. Accessed March 3, 2026. https://progressreport.cancer.gov/after/economic_burden
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Optimizing Care for Veterans at Risk of Cancer From Camp Lejeune Water Exposure

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Cell-Free DNA Blood Test Shows Strong Performance in Detecting Early-Stage CRC

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Cell-Free DNA Blood Test Shows Strong Performance in Detecting Early-Stage CRC

TOPLINE:

A novel, blood-based test developed using fragmentomic features of cell-free DNA (cfDNA) detects colorectal cancer (CRC) with a 90.4% sensitivity and shows consistent performance across stages and tumor locations.

METHODOLOGY:

  • Researchers conducted a prospective case-control study to develop and validate a noninvasive cfDNA-based screening test for CRC.
  • Adults aged 40-89 years with CRC or advanced adenomas were enrolled at a tertiary center in South Korea between 2021 and 2024.
  • Blood samples were drawn after colonoscopy, but prior to treatment, in patients with CRC, advanced adenomas, and asymptomatic controls with normal colonoscopy results.
  • A model was trained on fragmentonic features derived from whole genome sequencing of cfDNA from 1250 participants and validated for its diagnostic performance in the remaining 427 participants, including all with advanced adenomas.
  • The primary endpoint was the sensitivity of the cfDNA test for detecting CRC. The area under the receiver operating characteristic curve (AUROC) was also calculated.

TAKEAWAY:

  • The cfDNA test detected CRC with 90.4% sensitivity and an AUROC of 0.978.
  • Sensitivity by CRC stage was 84.2% for stage I, 85.0% for stage II, 94.4% for stage III, 100% for stage IV.
  • Advanced adenomas were detected with 58.3% sensitivity and an AUROC of 0.862.
  • Among individuals with normal colonoscopy findings, the test was correctly negative 94.7% of the time.
  • Diagnostic sensitivities were consistent between left- and right-sided CRC tumors, among participants aged < 60 years and ≥ 60 years, and across left- and right-sided advanced adenomas.

IN PRACTICE:

"This highlights the potential clinical utility of the test in identifying candidates for minimally invasive therapeutic approaches tool for CRC," the authors wrote. "Notably, the high sensitivity observed for early-stage CRC and the favorable sensitivity for [advanced adenoma] suggest that this cfDNA test may offer benefits not only in diagnosis but also in prognosis and ultimately in CRC prevention."

SOURCE:

This study was led by Seung Wook Hong, MD, Asan Medical Center in Seoul, South Korea. It was published online on November 19, 2025, in the American Journal of Gastroenterology.

LIMITATIONS:

The case-control design introduced spectrum bias by comparing clearly defined CRC and advanced adenomas cases with individuals who had normal colonoscopy results. The CRC prevalence of 17% to 18% was higher than that observed in true screening populations, limiting generalizability. The exclusively Korean cohort limited extrapolation to non-Asian populations.

DISCLOSURES:

The study received support from GC Genome, Yongin, South Korea. The authors reported no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

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TOPLINE:

A novel, blood-based test developed using fragmentomic features of cell-free DNA (cfDNA) detects colorectal cancer (CRC) with a 90.4% sensitivity and shows consistent performance across stages and tumor locations.

METHODOLOGY:

  • Researchers conducted a prospective case-control study to develop and validate a noninvasive cfDNA-based screening test for CRC.
  • Adults aged 40-89 years with CRC or advanced adenomas were enrolled at a tertiary center in South Korea between 2021 and 2024.
  • Blood samples were drawn after colonoscopy, but prior to treatment, in patients with CRC, advanced adenomas, and asymptomatic controls with normal colonoscopy results.
  • A model was trained on fragmentonic features derived from whole genome sequencing of cfDNA from 1250 participants and validated for its diagnostic performance in the remaining 427 participants, including all with advanced adenomas.
  • The primary endpoint was the sensitivity of the cfDNA test for detecting CRC. The area under the receiver operating characteristic curve (AUROC) was also calculated.

TAKEAWAY:

  • The cfDNA test detected CRC with 90.4% sensitivity and an AUROC of 0.978.
  • Sensitivity by CRC stage was 84.2% for stage I, 85.0% for stage II, 94.4% for stage III, 100% for stage IV.
  • Advanced adenomas were detected with 58.3% sensitivity and an AUROC of 0.862.
  • Among individuals with normal colonoscopy findings, the test was correctly negative 94.7% of the time.
  • Diagnostic sensitivities were consistent between left- and right-sided CRC tumors, among participants aged < 60 years and ≥ 60 years, and across left- and right-sided advanced adenomas.

IN PRACTICE:

"This highlights the potential clinical utility of the test in identifying candidates for minimally invasive therapeutic approaches tool for CRC," the authors wrote. "Notably, the high sensitivity observed for early-stage CRC and the favorable sensitivity for [advanced adenoma] suggest that this cfDNA test may offer benefits not only in diagnosis but also in prognosis and ultimately in CRC prevention."

SOURCE:

This study was led by Seung Wook Hong, MD, Asan Medical Center in Seoul, South Korea. It was published online on November 19, 2025, in the American Journal of Gastroenterology.

LIMITATIONS:

The case-control design introduced spectrum bias by comparing clearly defined CRC and advanced adenomas cases with individuals who had normal colonoscopy results. The CRC prevalence of 17% to 18% was higher than that observed in true screening populations, limiting generalizability. The exclusively Korean cohort limited extrapolation to non-Asian populations.

DISCLOSURES:

The study received support from GC Genome, Yongin, South Korea. The authors reported no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

TOPLINE:

A novel, blood-based test developed using fragmentomic features of cell-free DNA (cfDNA) detects colorectal cancer (CRC) with a 90.4% sensitivity and shows consistent performance across stages and tumor locations.

METHODOLOGY:

  • Researchers conducted a prospective case-control study to develop and validate a noninvasive cfDNA-based screening test for CRC.
  • Adults aged 40-89 years with CRC or advanced adenomas were enrolled at a tertiary center in South Korea between 2021 and 2024.
  • Blood samples were drawn after colonoscopy, but prior to treatment, in patients with CRC, advanced adenomas, and asymptomatic controls with normal colonoscopy results.
  • A model was trained on fragmentonic features derived from whole genome sequencing of cfDNA from 1250 participants and validated for its diagnostic performance in the remaining 427 participants, including all with advanced adenomas.
  • The primary endpoint was the sensitivity of the cfDNA test for detecting CRC. The area under the receiver operating characteristic curve (AUROC) was also calculated.

TAKEAWAY:

  • The cfDNA test detected CRC with 90.4% sensitivity and an AUROC of 0.978.
  • Sensitivity by CRC stage was 84.2% for stage I, 85.0% for stage II, 94.4% for stage III, 100% for stage IV.
  • Advanced adenomas were detected with 58.3% sensitivity and an AUROC of 0.862.
  • Among individuals with normal colonoscopy findings, the test was correctly negative 94.7% of the time.
  • Diagnostic sensitivities were consistent between left- and right-sided CRC tumors, among participants aged < 60 years and ≥ 60 years, and across left- and right-sided advanced adenomas.

IN PRACTICE:

"This highlights the potential clinical utility of the test in identifying candidates for minimally invasive therapeutic approaches tool for CRC," the authors wrote. "Notably, the high sensitivity observed for early-stage CRC and the favorable sensitivity for [advanced adenoma] suggest that this cfDNA test may offer benefits not only in diagnosis but also in prognosis and ultimately in CRC prevention."

SOURCE:

This study was led by Seung Wook Hong, MD, Asan Medical Center in Seoul, South Korea. It was published online on November 19, 2025, in the American Journal of Gastroenterology.

LIMITATIONS:

The case-control design introduced spectrum bias by comparing clearly defined CRC and advanced adenomas cases with individuals who had normal colonoscopy results. The CRC prevalence of 17% to 18% was higher than that observed in true screening populations, limiting generalizability. The exclusively Korean cohort limited extrapolation to non-Asian populations.

DISCLOSURES:

The study received support from GC Genome, Yongin, South Korea. The authors reported no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

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Cell-Free DNA Blood Test Shows Strong Performance in Detecting Early-Stage CRC

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Geographic Clusters Show Uneven Cancer Screening in the US

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Geographic Clusters Show Uneven Cancer Screening in the US

TOPLINE:

An analysis of 3142 US counties revealed that county-level screening for breast, cervical, and colorectal cancer increased overall between 1997 and 2019; however, despite the reduced geographic variation, persistently high-screening clusters remained in the Northeast, whereas persistently low-screening clusters remained in the Southwest.

METHODOLOGY:

  • Cancer screening reduces mortality. Despite guideline recommendation, the uptake of breast, cervical, and colorectal cancer screening in the US falls short of national goals and varies across sociodemographic groups. To date, only a few studies have examined geographic and temporal patterns of screening.
  • To address this gap, researchers conducted a cross-sectional study using an ecological panel design to analyze county-level screening prevalence across 3142 US mainland counties from 1997 to 2019, deriving prevalence estimates from Behavioral Risk Factor Surveillance System (BRFSS) and National Health Interview Survey (NHIS) data over 3- to 5-year periods.
  • Spatial autocorrelation analyses, including Global Moran I and the bivariate local indicator of spatial autocorrelation, were performed to assess geographic clusters of cancer screening within each period. Four types of local geographic clusters of county-level cancer screening were identified: counties with persistently high screening rates, counties with persistently low screening rates, counties in which screening rates decreased from high to low, and counties in which screening rates increased from low to high.
  • Screening prevalence was compared across multiple time windows for different modalities (mammography, a Papanicolaou test, colonoscopy, colorectal cancer test, endoscopy, and a fecal occult blood test [FOBT]). Overall, 3101 counties were analyzed for mammography and the Papanicolaou test, 3107 counties for colonoscopy, 3100 counties for colorectal cancer test, 3089 counties for endoscopy, and 3090 counties for the FOBT.

TAKEAWAY:

  • Overall screening prevalence increased from 1997 to 2019, and global spatial autocorrelation declined over time. For instance, the distribution of mammography screening became 83% more uniform in more recent years (Moran I, 0.57 in 1997-1999 vs 0.10 in 2017-2019). Similarly, Papanicolaou test screening became more uniform in more recent years (Moran I, 0.44 vs. 0.07). These changes indicate reduced geographic heterogeneity.
  • Colonoscopy and endoscopy use increased, surpassing a 50% prevalence in many counties for 2010; however, FOBT use declined. Spatial clustering also attenuated, with a 23.4% declined in Moran I for colonoscopy from 2011-2016 to 2017-2019, a 12.3% decline in the colorectal cancer test from 2004-2007 to 2008-2010, and a 14.0% decline for endoscopy from 2004-2007 to 2008-2010.
  • Persistently high-/high-screening clusters were concentrated in the Northeast for mammography and colorectal cancer screening and in the East for Papanicolaou test screening, whereas persistently low-/low-screening clusters were concentrated in the Southwest for the same modalities.
  • Clusters of low- and high-screening counties were more disadvantaged -- with lower socioeconomic status and a higher proportion of non-White residents -- than other cluster types, suggesting some improvement in screening uptake in more disadvantaged areas. Counties with persistently low screening exhibited greater socioeconomic disadvantages -- lower media household income, higher poverty, lower home values, and lower educational attainment -- than those with persistently high screening.

IN PRACTICE:

"This cross-sectional study found that despite secular increases that reduced geographic variation in screening, local clusters of high and low screening persisted in the Northeast and Southwest US, respectively. Future studies could incorporate health care access characteristics to explain why areas of low screening did not catch up to optimize cancer screening practice," the authors wrote.

SOURCE:

The study, led by Pranoti Pradhan, PhD, Harvard T.H. Chan School of Public Health, Boston, was published online in JAMA Network Open.

LIMITATIONS:

The county-level estimates were modeled using BRFSS, NHIS, and US Census data, which might be susceptible to sampling biases despite corrections for nonresponse and noncoverage. Researchers lacked data on specific health systems characteristics that may have directly driven changes in prevalence and were restricted to using screening time intervals available from the Small Area Estimates for Cancer-Relates Measures from the National Cancer Institute, rather than those according to US Preventive Services Task Force guidelines. Additionally, the spatial cluster method was sensitive to county size and arrangement, which may have influenced local cluster detection.

DISCLOSURES:

This research was supported by the T32 Cancer Prevention and Control Funding Fellowship and T32 Cancer Epidemiology Fellowship at the Harvard T.H. Chan School of Public Health. The authors declared having no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

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Topics
Sections

TOPLINE:

An analysis of 3142 US counties revealed that county-level screening for breast, cervical, and colorectal cancer increased overall between 1997 and 2019; however, despite the reduced geographic variation, persistently high-screening clusters remained in the Northeast, whereas persistently low-screening clusters remained in the Southwest.

METHODOLOGY:

  • Cancer screening reduces mortality. Despite guideline recommendation, the uptake of breast, cervical, and colorectal cancer screening in the US falls short of national goals and varies across sociodemographic groups. To date, only a few studies have examined geographic and temporal patterns of screening.
  • To address this gap, researchers conducted a cross-sectional study using an ecological panel design to analyze county-level screening prevalence across 3142 US mainland counties from 1997 to 2019, deriving prevalence estimates from Behavioral Risk Factor Surveillance System (BRFSS) and National Health Interview Survey (NHIS) data over 3- to 5-year periods.
  • Spatial autocorrelation analyses, including Global Moran I and the bivariate local indicator of spatial autocorrelation, were performed to assess geographic clusters of cancer screening within each period. Four types of local geographic clusters of county-level cancer screening were identified: counties with persistently high screening rates, counties with persistently low screening rates, counties in which screening rates decreased from high to low, and counties in which screening rates increased from low to high.
  • Screening prevalence was compared across multiple time windows for different modalities (mammography, a Papanicolaou test, colonoscopy, colorectal cancer test, endoscopy, and a fecal occult blood test [FOBT]). Overall, 3101 counties were analyzed for mammography and the Papanicolaou test, 3107 counties for colonoscopy, 3100 counties for colorectal cancer test, 3089 counties for endoscopy, and 3090 counties for the FOBT.

TAKEAWAY:

  • Overall screening prevalence increased from 1997 to 2019, and global spatial autocorrelation declined over time. For instance, the distribution of mammography screening became 83% more uniform in more recent years (Moran I, 0.57 in 1997-1999 vs 0.10 in 2017-2019). Similarly, Papanicolaou test screening became more uniform in more recent years (Moran I, 0.44 vs. 0.07). These changes indicate reduced geographic heterogeneity.
  • Colonoscopy and endoscopy use increased, surpassing a 50% prevalence in many counties for 2010; however, FOBT use declined. Spatial clustering also attenuated, with a 23.4% declined in Moran I for colonoscopy from 2011-2016 to 2017-2019, a 12.3% decline in the colorectal cancer test from 2004-2007 to 2008-2010, and a 14.0% decline for endoscopy from 2004-2007 to 2008-2010.
  • Persistently high-/high-screening clusters were concentrated in the Northeast for mammography and colorectal cancer screening and in the East for Papanicolaou test screening, whereas persistently low-/low-screening clusters were concentrated in the Southwest for the same modalities.
  • Clusters of low- and high-screening counties were more disadvantaged -- with lower socioeconomic status and a higher proportion of non-White residents -- than other cluster types, suggesting some improvement in screening uptake in more disadvantaged areas. Counties with persistently low screening exhibited greater socioeconomic disadvantages -- lower media household income, higher poverty, lower home values, and lower educational attainment -- than those with persistently high screening.

IN PRACTICE:

"This cross-sectional study found that despite secular increases that reduced geographic variation in screening, local clusters of high and low screening persisted in the Northeast and Southwest US, respectively. Future studies could incorporate health care access characteristics to explain why areas of low screening did not catch up to optimize cancer screening practice," the authors wrote.

SOURCE:

The study, led by Pranoti Pradhan, PhD, Harvard T.H. Chan School of Public Health, Boston, was published online in JAMA Network Open.

LIMITATIONS:

The county-level estimates were modeled using BRFSS, NHIS, and US Census data, which might be susceptible to sampling biases despite corrections for nonresponse and noncoverage. Researchers lacked data on specific health systems characteristics that may have directly driven changes in prevalence and were restricted to using screening time intervals available from the Small Area Estimates for Cancer-Relates Measures from the National Cancer Institute, rather than those according to US Preventive Services Task Force guidelines. Additionally, the spatial cluster method was sensitive to county size and arrangement, which may have influenced local cluster detection.

DISCLOSURES:

This research was supported by the T32 Cancer Prevention and Control Funding Fellowship and T32 Cancer Epidemiology Fellowship at the Harvard T.H. Chan School of Public Health. The authors declared having no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

TOPLINE:

An analysis of 3142 US counties revealed that county-level screening for breast, cervical, and colorectal cancer increased overall between 1997 and 2019; however, despite the reduced geographic variation, persistently high-screening clusters remained in the Northeast, whereas persistently low-screening clusters remained in the Southwest.

METHODOLOGY:

  • Cancer screening reduces mortality. Despite guideline recommendation, the uptake of breast, cervical, and colorectal cancer screening in the US falls short of national goals and varies across sociodemographic groups. To date, only a few studies have examined geographic and temporal patterns of screening.
  • To address this gap, researchers conducted a cross-sectional study using an ecological panel design to analyze county-level screening prevalence across 3142 US mainland counties from 1997 to 2019, deriving prevalence estimates from Behavioral Risk Factor Surveillance System (BRFSS) and National Health Interview Survey (NHIS) data over 3- to 5-year periods.
  • Spatial autocorrelation analyses, including Global Moran I and the bivariate local indicator of spatial autocorrelation, were performed to assess geographic clusters of cancer screening within each period. Four types of local geographic clusters of county-level cancer screening were identified: counties with persistently high screening rates, counties with persistently low screening rates, counties in which screening rates decreased from high to low, and counties in which screening rates increased from low to high.
  • Screening prevalence was compared across multiple time windows for different modalities (mammography, a Papanicolaou test, colonoscopy, colorectal cancer test, endoscopy, and a fecal occult blood test [FOBT]). Overall, 3101 counties were analyzed for mammography and the Papanicolaou test, 3107 counties for colonoscopy, 3100 counties for colorectal cancer test, 3089 counties for endoscopy, and 3090 counties for the FOBT.

TAKEAWAY:

  • Overall screening prevalence increased from 1997 to 2019, and global spatial autocorrelation declined over time. For instance, the distribution of mammography screening became 83% more uniform in more recent years (Moran I, 0.57 in 1997-1999 vs 0.10 in 2017-2019). Similarly, Papanicolaou test screening became more uniform in more recent years (Moran I, 0.44 vs. 0.07). These changes indicate reduced geographic heterogeneity.
  • Colonoscopy and endoscopy use increased, surpassing a 50% prevalence in many counties for 2010; however, FOBT use declined. Spatial clustering also attenuated, with a 23.4% declined in Moran I for colonoscopy from 2011-2016 to 2017-2019, a 12.3% decline in the colorectal cancer test from 2004-2007 to 2008-2010, and a 14.0% decline for endoscopy from 2004-2007 to 2008-2010.
  • Persistently high-/high-screening clusters were concentrated in the Northeast for mammography and colorectal cancer screening and in the East for Papanicolaou test screening, whereas persistently low-/low-screening clusters were concentrated in the Southwest for the same modalities.
  • Clusters of low- and high-screening counties were more disadvantaged -- with lower socioeconomic status and a higher proportion of non-White residents -- than other cluster types, suggesting some improvement in screening uptake in more disadvantaged areas. Counties with persistently low screening exhibited greater socioeconomic disadvantages -- lower media household income, higher poverty, lower home values, and lower educational attainment -- than those with persistently high screening.

IN PRACTICE:

"This cross-sectional study found that despite secular increases that reduced geographic variation in screening, local clusters of high and low screening persisted in the Northeast and Southwest US, respectively. Future studies could incorporate health care access characteristics to explain why areas of low screening did not catch up to optimize cancer screening practice," the authors wrote.

SOURCE:

The study, led by Pranoti Pradhan, PhD, Harvard T.H. Chan School of Public Health, Boston, was published online in JAMA Network Open.

LIMITATIONS:

The county-level estimates were modeled using BRFSS, NHIS, and US Census data, which might be susceptible to sampling biases despite corrections for nonresponse and noncoverage. Researchers lacked data on specific health systems characteristics that may have directly driven changes in prevalence and were restricted to using screening time intervals available from the Small Area Estimates for Cancer-Relates Measures from the National Cancer Institute, rather than those according to US Preventive Services Task Force guidelines. Additionally, the spatial cluster method was sensitive to county size and arrangement, which may have influenced local cluster detection.

DISCLOSURES:

This research was supported by the T32 Cancer Prevention and Control Funding Fellowship and T32 Cancer Epidemiology Fellowship at the Harvard T.H. Chan School of Public Health. The authors declared having no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

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Team-Based Care is Crucial for Head-and-Neck Cancer Cases

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Team-Based Care is Crucial for Head-and-Neck Cancer Cases

PHOENIX – A 70-year-old Vietnam veteran with oropharyngeal cancer presented challenges beyond his disease. 

He couldn’t afford transportation for daily radiation treatments and had lost > 10% of his body weight due to pain and eating difficulties, recalled radiation oncologist Vinita Takiar, MD, PhD, in a presentation at the annual meeting of the Association of VA Hematology/Oncology. 

To make matters more difficult, his wife held medical power of attorney despite his apparent competence to make decisions, said Takiar, who formerly worked with the US Department of Veterans Affairs (VA) Cincinnati Healthcare System and is now chair of radiation oncology at Penn State University. 

All these factors would likely have derailed his treatment if not for a coordinated team intervention, Takiar said. Fortunately, the clinic launched a multifaceted effort involving representatives from the social work, dentistry, ethics, nutrition, and chaplaincy departments. 

When surgery became impossible because the patient couldn’t lie on the operating table for adequate tumor exposure, she said, the existing team framework enabled a seamless and rapid transition to radiation with concurrent chemotherapy.

The patient completed treatment with an excellent response, offering a lesson in the importance of multidisciplinary care in head-and-neck cancers, she said. 

In fact, when it comes to these forms of cancer, coordinated care “is probably more impactful than any treatment that we’re going to come up with,” she said. “The data show that when we do multidisciplinary care and we do it well, it actually improves the patient experience and outcomes.”

As Takiar noted, teamwork matters in many ways. It leads to better logistics and can address disparities, reduce financial burden and stigma, and even increase clinical trial involvement. 

She pointed to studies linking teamwork to better outcomes, support for patients, and overall survival.

Takiar highlighted different parts of teams headed by radiation oncologists who act as “a node to improve multimodal care delivery.”

Speech and swallowing specialists, for example, are helpful in head-and-neck cancer because “there’s an impact on speech, swallowing, and appearance. Our patients don’t want to go out to dinner with friends because they can’t do it.”

Dentists and prosthodontists are key team members too: “I have dentists who have my cell phone number. They just call me: ‘Can I do this extraction? Was this in your radiation field? What was the dose?’”

Other team members include ear, nose, and throat specialists, palliative and supportive care specialists, medical oncologists, nurses, pathologists, transportation workers, and service connection specialists. She noted that previous military experience can affect radiation therapy. For example, the physical restraints required during treatment present particular challenges for veterans who’ve had wartime trauma. These patients may require therapy adjustments.

What’s next on the horizon? Takiar highlighted precision oncology and molecular profiling, artificial intelligence in care decisions and in radiation planning, telemedicine and virtual tumor boards, and expanded survivorship programs. 

As for now, she urged colleagues to not be afraid to chat with radiation oncologists. “Please talk to us. We prioritize open communication and shared decision-making with the entire team,” she said. “If you see something and think your radiation oncologist should know about it, you think it was caused by the radiation, you should reach out to us.”

 

Takiar reported no disclosures. 

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PHOENIX – A 70-year-old Vietnam veteran with oropharyngeal cancer presented challenges beyond his disease. 

He couldn’t afford transportation for daily radiation treatments and had lost > 10% of his body weight due to pain and eating difficulties, recalled radiation oncologist Vinita Takiar, MD, PhD, in a presentation at the annual meeting of the Association of VA Hematology/Oncology. 

To make matters more difficult, his wife held medical power of attorney despite his apparent competence to make decisions, said Takiar, who formerly worked with the US Department of Veterans Affairs (VA) Cincinnati Healthcare System and is now chair of radiation oncology at Penn State University. 

All these factors would likely have derailed his treatment if not for a coordinated team intervention, Takiar said. Fortunately, the clinic launched a multifaceted effort involving representatives from the social work, dentistry, ethics, nutrition, and chaplaincy departments. 

When surgery became impossible because the patient couldn’t lie on the operating table for adequate tumor exposure, she said, the existing team framework enabled a seamless and rapid transition to radiation with concurrent chemotherapy.

The patient completed treatment with an excellent response, offering a lesson in the importance of multidisciplinary care in head-and-neck cancers, she said. 

In fact, when it comes to these forms of cancer, coordinated care “is probably more impactful than any treatment that we’re going to come up with,” she said. “The data show that when we do multidisciplinary care and we do it well, it actually improves the patient experience and outcomes.”

As Takiar noted, teamwork matters in many ways. It leads to better logistics and can address disparities, reduce financial burden and stigma, and even increase clinical trial involvement. 

She pointed to studies linking teamwork to better outcomes, support for patients, and overall survival.

Takiar highlighted different parts of teams headed by radiation oncologists who act as “a node to improve multimodal care delivery.”

Speech and swallowing specialists, for example, are helpful in head-and-neck cancer because “there’s an impact on speech, swallowing, and appearance. Our patients don’t want to go out to dinner with friends because they can’t do it.”

Dentists and prosthodontists are key team members too: “I have dentists who have my cell phone number. They just call me: ‘Can I do this extraction? Was this in your radiation field? What was the dose?’”

Other team members include ear, nose, and throat specialists, palliative and supportive care specialists, medical oncologists, nurses, pathologists, transportation workers, and service connection specialists. She noted that previous military experience can affect radiation therapy. For example, the physical restraints required during treatment present particular challenges for veterans who’ve had wartime trauma. These patients may require therapy adjustments.

What’s next on the horizon? Takiar highlighted precision oncology and molecular profiling, artificial intelligence in care decisions and in radiation planning, telemedicine and virtual tumor boards, and expanded survivorship programs. 

As for now, she urged colleagues to not be afraid to chat with radiation oncologists. “Please talk to us. We prioritize open communication and shared decision-making with the entire team,” she said. “If you see something and think your radiation oncologist should know about it, you think it was caused by the radiation, you should reach out to us.”

 

Takiar reported no disclosures. 

PHOENIX – A 70-year-old Vietnam veteran with oropharyngeal cancer presented challenges beyond his disease. 

He couldn’t afford transportation for daily radiation treatments and had lost > 10% of his body weight due to pain and eating difficulties, recalled radiation oncologist Vinita Takiar, MD, PhD, in a presentation at the annual meeting of the Association of VA Hematology/Oncology. 

To make matters more difficult, his wife held medical power of attorney despite his apparent competence to make decisions, said Takiar, who formerly worked with the US Department of Veterans Affairs (VA) Cincinnati Healthcare System and is now chair of radiation oncology at Penn State University. 

All these factors would likely have derailed his treatment if not for a coordinated team intervention, Takiar said. Fortunately, the clinic launched a multifaceted effort involving representatives from the social work, dentistry, ethics, nutrition, and chaplaincy departments. 

When surgery became impossible because the patient couldn’t lie on the operating table for adequate tumor exposure, she said, the existing team framework enabled a seamless and rapid transition to radiation with concurrent chemotherapy.

The patient completed treatment with an excellent response, offering a lesson in the importance of multidisciplinary care in head-and-neck cancers, she said. 

In fact, when it comes to these forms of cancer, coordinated care “is probably more impactful than any treatment that we’re going to come up with,” she said. “The data show that when we do multidisciplinary care and we do it well, it actually improves the patient experience and outcomes.”

As Takiar noted, teamwork matters in many ways. It leads to better logistics and can address disparities, reduce financial burden and stigma, and even increase clinical trial involvement. 

She pointed to studies linking teamwork to better outcomes, support for patients, and overall survival.

Takiar highlighted different parts of teams headed by radiation oncologists who act as “a node to improve multimodal care delivery.”

Speech and swallowing specialists, for example, are helpful in head-and-neck cancer because “there’s an impact on speech, swallowing, and appearance. Our patients don’t want to go out to dinner with friends because they can’t do it.”

Dentists and prosthodontists are key team members too: “I have dentists who have my cell phone number. They just call me: ‘Can I do this extraction? Was this in your radiation field? What was the dose?’”

Other team members include ear, nose, and throat specialists, palliative and supportive care specialists, medical oncologists, nurses, pathologists, transportation workers, and service connection specialists. She noted that previous military experience can affect radiation therapy. For example, the physical restraints required during treatment present particular challenges for veterans who’ve had wartime trauma. These patients may require therapy adjustments.

What’s next on the horizon? Takiar highlighted precision oncology and molecular profiling, artificial intelligence in care decisions and in radiation planning, telemedicine and virtual tumor boards, and expanded survivorship programs. 

As for now, she urged colleagues to not be afraid to chat with radiation oncologists. “Please talk to us. We prioritize open communication and shared decision-making with the entire team,” she said. “If you see something and think your radiation oncologist should know about it, you think it was caused by the radiation, you should reach out to us.”

 

Takiar reported no disclosures. 

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Atypical Intrathoracic Manifestations of Metastatic Prostate Cancer: A Case Series

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Atypical Intrathoracic Manifestations of Metastatic Prostate Cancer: A Case Series

Prostate cancer is the most common noncutaneous cancer in men, accounting for 29% of all incident cancer cases.1 Typically, prostate cancer metastasizes to bone and regional lymph nodes.2 However, intrathoracic manifestation may occur. This report presents 3 cases of rare intrathoracic manifestations of metastatic prostate cancer with a review of the current literature.

CASE PRESENTATIONS

Case 1

A 71-year-old male who was an active smoker and a long-standing employment as a plumber was diagnosed with rectal cancer in 2022. He completed neoadjuvant capecitabine and radiation therapy followed by a rectosigmoidectomy. Several weeks after surgery, the patient presented to the emergency department (ED) with a dry cough and worsening shortness of breath. Point-of-care ultrasound of the lungs revealed a moderate right pleural effusion with several nodular pleural masses. A chest computed tomography (CT) confirmed these findings (Figure 1). A CT of the abdomen and pelvis revealed prostatomegaly with the medial lobe of the prostate protruding into the bladder; however, no enlarged retroperitoneal, mesenteric or pelvic lymph nodes were noted. The patient underwent a right pleural fluid drainage and pleural mass biopsy. Pleural mass histomorphology as well as immunohistochemical (IHC) stains were consistent with metastatic prostate adenocarcinoma. The pleural fluid cytology also was consistent with metastatic prostate adenocarcinoma.

0825FED-AVAHO-Prostate-F1

Immunohistochemistry showed weak positive staining for prostate-specific NK3 homeobox 1 gene (NKX3.1), alpha-methylacyl-CoA racemase gene (AMACR), and prosaposin, and negative transcription termination factor (TTF-1), keratin-7 (CK7), and prosaposin, and negative transcription termination factor (TTF-1), keratin-7 (CK7), keratin-20, and caudal type homeobox 2 gene (CDX2) (Figure 2) 2). The patient's prostate-specific antigen (PSA) was found to be elevated at 33.9 ng/mL (reference range, < 4 ng/mL).

0825FED-AVAHO-Prostate-F2
Case 2

A 71-year-old male with a history of alcohol use disorder and a 30-year smoking history presented to the ED with worsening dyspnea on exertion. The patient’s baseline exercise tolerance decreased to walking for only 1 block. He reported unintentional weight loss of about 30 pounds over the prior year, no recent respiratory infections, no prior breathing problems, and no personal or family history of cancer. Chest CT revealed findings of bilateral peribronchial opacities as well as mediastinal and hilar lymphadenopathy (Figure 3). The patient developed hypoxic respiratory failure necessitating intubation, mechanical ventilation, and management in the medical intensive care unit, where he was treated for postobstructive pneumonia. Fiberoptic bronchoscopy revealed endobronchial lesions in the right and left upper lobe that were partially obstructing the airway (Figure 4).

0825FED-AVAHO-Prostate-F30825FED-AVAHO-Prostate-F4

The endobronchial masses were debulked using forceps, and samples were sent for surgical pathology evaluation. Staging was completed using linear endobronchial ultrasound, which revealed an enlarged subcarinal lymph node (S7). The surgical pathology of the endobronchial mass and the subcarinal lymph node cytology were consistent with metastatic adenocarcinoma of the prostate. The tumor cells were positive for AE1/AE3, PSA, and NKX3.1, but were negative for CK7 and TTF-1 (Figure 5). Further imaging revealed an enlarged heterogeneous prostate gland, prominent pelvic nodes, and left retroperitoneal lymphadenopathy, as well as sclerotic foci within the T10 vertebral body and right inferior pubic ramus. PSA was also found to be significantly elevated at 700 ng/mL.

0825FED-AVAHO-Prostate-F5
Case 3

An 80-year-old male veteran with a history of prostate cancer and recently diagnosed T2N1M0 head and neck squamous cell carcinoma was referred to the Pulmonary service for evaluation of a pulmonary nodule. His medical history was notable for prostate cancer diagnosed 12 years earlier, with an unknown Gleason score. Initial treatment included prostatectomy followed by whole pelvic radiation therapy a year after, due to elevated PSA in surveillance monitoring. This treatment led to remission. After establishing remission for > 10 years, the patient was started on low-dose testosterone replacement therapy to address complications of radiation therapy, namely hypogonadism.

On evaluation, a chest CT was significant for a large 2-cm right middle lobe nodule (Figure 6). At that time, PSA was noted to be borderline elevated at 4.2 ng/mL, and whole-body imaging did not reveal any lesions elsewhere, specifically no bone metastasis. Biopsies of the right middle lobe lung nodule revealed adenocarcinoma consistent with metastatic prostate cancer. Testosterone therapy was promptly discontinued.

0825FED-AVAHO-Prostate-F6

The patient initially refused androgen deprivation therapy owing to the antiandrogenic adverse effects. However, subsequent chest CTs revealed growing lung nodules, which convinced him to proceed with androgen deprivation therapy followed by palliative radiation, and chemotherapy and management of malignant pleural effusion with indwelling small bore pleural catheter for about 10 years. He died from COVID-19 during the pandemic.

DISCUSSION

These cases highlight the importance of including prostate cancer in the differential diagnoses of male patients with intrathoracic abnormalities, even in the absence of metastasis to the more common sites. In a large cohort study of 74,826 patients with metastatic prostate cancer, Gandaglia et al found that the most frequent sites of metastasis were bone (84.0%) and distant lymph nodes (10.6%).2 However, thoracic involvement was observed in 9.1% of cases, with isolated thoracic metastasis being rare. The cases described in this report exemplify exceptionally uncommon occurrences within that 9.1%.

Pleural metastases, as observed in Case 1, are a particularly rare manifestation. In a 10-year retrospective assessment, Vinjamoori et al discovered pleural nodules or masses in only 6 of 82 patients (7.3%) with atypical metastases.3 Adrenal and liver metastases accounted for 15% and 37% of cases with atypical distribution. As such, isolated pleural disease is rare even in atypical presentations.3

As seen in Case 2, endobronchial metastases producing airway obstruction are also rare, with the most common primary cancers associated with endobronchial metastasis being breast, colon, and renal cancer.4 The available literature on this presentation is confined to case reports. Hameed et al reported a case of synchronous biopsy-proven endobronchial metastasis from prostate cancer.5 These cases highlight the importance of maintaining a high level of clinical awareness when encountering endobronchial lesions in patients with prostate cancer.

Case 3 presents a unique situation of lung metastases without any involvement of the bones. It is well known—and was confirmed by Heidenreich et al—that lung metastases in prostate adenocarcinoma usually coincide with extensive osseous disease.6 This instance highlights the importance of watchful monitoring for unusual patterns of cancer recurrence.

Immunohistochemistry stains that are specific to prostate cancer include antibodies against PSA. Prostate-specific membrane antigen is another marker that is far more present in malignant than in benign prostate tissue.

The NKX3.1 gene encodes a homeobox protein, which is a transcription factor and tumor suppressor. In prostate cancer, there is loss of heterozygosity of the gene and stains for the IHC antibody to NKX3.1.7

On the other hand, lung cells stain positive for TTF-1, which is produced by surfactant-producing type 2 pneumocytes and club cells in the lung. Antibodies to TTF-1, a common IHC stain, are used to identify adenocarcinoma of lung origin and may carry a prognostic value.7

The immunohistochemistry profiles, specifically the presence of prostate-specific markers such as PSA and NKX3.1, played a vital role in making the diagnosis.

In Case 1, weak TTF-1 positivity was noted, an unusual finding in metastatic prostate adenocarcinoma. Marak et al documented a rare case of TTF-1–positive metastatic prostate cancer, illustrating the potential for diagnostic confusion with primary lung malignancies.8

The 3 cases described in this report demonstrate the importance of clinical consideration, serial follow-up of PSA levels, using more prostate-specific positron emission tomography tracers (eg, Pylarify) alongside traditional imaging, and tissue biopsy to detect unusual metastases.

CONCLUSIONS

Although thoracic metastases from prostate cancer are rare, these presentations highlight the importance of clinical awareness regarding atypical cases. Pleural disease, endobronchial lesions, and isolated pulmonary nodules might be the first clinical manifestation of metastatic prostate cancer. A high index of suspicion, appropriate imaging, and judicious use of immunohistochemistry are important to ensure accurate diagnosis and optimal patient management.

References
  1. Siegel RL, Giaquinto AN, Jemal A. Cancer statistics, 2024. CA Cancer J Clin. 2024;74(1):12-49. doi:10.3322/caac.21820
  2. Gandaglia G, Abdollah F, Schiffmann J, et al. Distribution of metastatic sites in patients with prostate cancer: a population-based analysis. Prostate. 2014;74(2):210-216. doi:10.1002/pros.22742
  3. Vinjamoori AH, Jagannathan JP, Shinagare AB, et al. Atypical metastases from prostate cancer: 10-year experience at a single institution. AJR Am J Roentgenol. 2012;199(2):367-372. doi:10.2214/AJR.11.7533
  4. Salud A, Porcel JM, Rovirosa A, Bellmunt J. Endobronchial metastatic disease: analysis of 32 cases. J Surg Oncol. 1996;62(4):249-252. doi:10.1002/(SICI)1096- 9098(199608)62:4<249::AID-JSO4>3.0.CO;2-6
  5. Hameed M, Haq IU, Yousaf M, Hussein M, Rashid U, Al-Bozom I. Endobronchial metastases secondary to prostate cancer: a case report and literature review. Respir Med Case Rep. 2020;32:101326. doi:10.1016/j.rmcr.2020.101326
  6. Heidenreich A, Bastian PJ, Bellmunt J, et al; for the European Association of Urology. EAU guidelines on prostate cancer. Part II: treatment of advanced, relapsing, and castration- resistant prostate cancer. Eur Urol. 2014;65(2):467- 479. doi:10.1016/j.eururo.2013.11.002
  7. Schallenberg S, Dernbach G, Dragomir MP, et al. TTF-1 status in early-stage lung adenocarcinoma is an independent predictor of relapse and survival superior to tumor grading. Eur J Cancer. 2024;197:113474. doi:10.1016/j.ejca.2023.113474
  8. Marak C, Guddati AK, Ashraf A, Smith J, Kaushik P. Prostate adenocarcinoma with atypical immunohistochemistry presenting with a Cheerio sign. AIM Clinical Cases. 2023;1:e220508. doi:10.7326/aimcc.2022.0508
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Correspondence: Iman Makki (iman.makki@downstate.edu)

Fed Pract. 2025;42(suppl 3). Published online August 15. doi:10.12788/fp.0606

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Fed Pract. 2025;42(suppl 3). Published online August 15. doi:10.12788/fp.0606

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Fed Pract. 2025;42(suppl 3). Published online August 15. doi:10.12788/fp.0606

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Prostate cancer is the most common noncutaneous cancer in men, accounting for 29% of all incident cancer cases.1 Typically, prostate cancer metastasizes to bone and regional lymph nodes.2 However, intrathoracic manifestation may occur. This report presents 3 cases of rare intrathoracic manifestations of metastatic prostate cancer with a review of the current literature.

CASE PRESENTATIONS

Case 1

A 71-year-old male who was an active smoker and a long-standing employment as a plumber was diagnosed with rectal cancer in 2022. He completed neoadjuvant capecitabine and radiation therapy followed by a rectosigmoidectomy. Several weeks after surgery, the patient presented to the emergency department (ED) with a dry cough and worsening shortness of breath. Point-of-care ultrasound of the lungs revealed a moderate right pleural effusion with several nodular pleural masses. A chest computed tomography (CT) confirmed these findings (Figure 1). A CT of the abdomen and pelvis revealed prostatomegaly with the medial lobe of the prostate protruding into the bladder; however, no enlarged retroperitoneal, mesenteric or pelvic lymph nodes were noted. The patient underwent a right pleural fluid drainage and pleural mass biopsy. Pleural mass histomorphology as well as immunohistochemical (IHC) stains were consistent with metastatic prostate adenocarcinoma. The pleural fluid cytology also was consistent with metastatic prostate adenocarcinoma.

0825FED-AVAHO-Prostate-F1

Immunohistochemistry showed weak positive staining for prostate-specific NK3 homeobox 1 gene (NKX3.1), alpha-methylacyl-CoA racemase gene (AMACR), and prosaposin, and negative transcription termination factor (TTF-1), keratin-7 (CK7), and prosaposin, and negative transcription termination factor (TTF-1), keratin-7 (CK7), keratin-20, and caudal type homeobox 2 gene (CDX2) (Figure 2) 2). The patient's prostate-specific antigen (PSA) was found to be elevated at 33.9 ng/mL (reference range, < 4 ng/mL).

0825FED-AVAHO-Prostate-F2
Case 2

A 71-year-old male with a history of alcohol use disorder and a 30-year smoking history presented to the ED with worsening dyspnea on exertion. The patient’s baseline exercise tolerance decreased to walking for only 1 block. He reported unintentional weight loss of about 30 pounds over the prior year, no recent respiratory infections, no prior breathing problems, and no personal or family history of cancer. Chest CT revealed findings of bilateral peribronchial opacities as well as mediastinal and hilar lymphadenopathy (Figure 3). The patient developed hypoxic respiratory failure necessitating intubation, mechanical ventilation, and management in the medical intensive care unit, where he was treated for postobstructive pneumonia. Fiberoptic bronchoscopy revealed endobronchial lesions in the right and left upper lobe that were partially obstructing the airway (Figure 4).

0825FED-AVAHO-Prostate-F30825FED-AVAHO-Prostate-F4

The endobronchial masses were debulked using forceps, and samples were sent for surgical pathology evaluation. Staging was completed using linear endobronchial ultrasound, which revealed an enlarged subcarinal lymph node (S7). The surgical pathology of the endobronchial mass and the subcarinal lymph node cytology were consistent with metastatic adenocarcinoma of the prostate. The tumor cells were positive for AE1/AE3, PSA, and NKX3.1, but were negative for CK7 and TTF-1 (Figure 5). Further imaging revealed an enlarged heterogeneous prostate gland, prominent pelvic nodes, and left retroperitoneal lymphadenopathy, as well as sclerotic foci within the T10 vertebral body and right inferior pubic ramus. PSA was also found to be significantly elevated at 700 ng/mL.

0825FED-AVAHO-Prostate-F5
Case 3

An 80-year-old male veteran with a history of prostate cancer and recently diagnosed T2N1M0 head and neck squamous cell carcinoma was referred to the Pulmonary service for evaluation of a pulmonary nodule. His medical history was notable for prostate cancer diagnosed 12 years earlier, with an unknown Gleason score. Initial treatment included prostatectomy followed by whole pelvic radiation therapy a year after, due to elevated PSA in surveillance monitoring. This treatment led to remission. After establishing remission for > 10 years, the patient was started on low-dose testosterone replacement therapy to address complications of radiation therapy, namely hypogonadism.

On evaluation, a chest CT was significant for a large 2-cm right middle lobe nodule (Figure 6). At that time, PSA was noted to be borderline elevated at 4.2 ng/mL, and whole-body imaging did not reveal any lesions elsewhere, specifically no bone metastasis. Biopsies of the right middle lobe lung nodule revealed adenocarcinoma consistent with metastatic prostate cancer. Testosterone therapy was promptly discontinued.

0825FED-AVAHO-Prostate-F6

The patient initially refused androgen deprivation therapy owing to the antiandrogenic adverse effects. However, subsequent chest CTs revealed growing lung nodules, which convinced him to proceed with androgen deprivation therapy followed by palliative radiation, and chemotherapy and management of malignant pleural effusion with indwelling small bore pleural catheter for about 10 years. He died from COVID-19 during the pandemic.

DISCUSSION

These cases highlight the importance of including prostate cancer in the differential diagnoses of male patients with intrathoracic abnormalities, even in the absence of metastasis to the more common sites. In a large cohort study of 74,826 patients with metastatic prostate cancer, Gandaglia et al found that the most frequent sites of metastasis were bone (84.0%) and distant lymph nodes (10.6%).2 However, thoracic involvement was observed in 9.1% of cases, with isolated thoracic metastasis being rare. The cases described in this report exemplify exceptionally uncommon occurrences within that 9.1%.

Pleural metastases, as observed in Case 1, are a particularly rare manifestation. In a 10-year retrospective assessment, Vinjamoori et al discovered pleural nodules or masses in only 6 of 82 patients (7.3%) with atypical metastases.3 Adrenal and liver metastases accounted for 15% and 37% of cases with atypical distribution. As such, isolated pleural disease is rare even in atypical presentations.3

As seen in Case 2, endobronchial metastases producing airway obstruction are also rare, with the most common primary cancers associated with endobronchial metastasis being breast, colon, and renal cancer.4 The available literature on this presentation is confined to case reports. Hameed et al reported a case of synchronous biopsy-proven endobronchial metastasis from prostate cancer.5 These cases highlight the importance of maintaining a high level of clinical awareness when encountering endobronchial lesions in patients with prostate cancer.

Case 3 presents a unique situation of lung metastases without any involvement of the bones. It is well known—and was confirmed by Heidenreich et al—that lung metastases in prostate adenocarcinoma usually coincide with extensive osseous disease.6 This instance highlights the importance of watchful monitoring for unusual patterns of cancer recurrence.

Immunohistochemistry stains that are specific to prostate cancer include antibodies against PSA. Prostate-specific membrane antigen is another marker that is far more present in malignant than in benign prostate tissue.

The NKX3.1 gene encodes a homeobox protein, which is a transcription factor and tumor suppressor. In prostate cancer, there is loss of heterozygosity of the gene and stains for the IHC antibody to NKX3.1.7

On the other hand, lung cells stain positive for TTF-1, which is produced by surfactant-producing type 2 pneumocytes and club cells in the lung. Antibodies to TTF-1, a common IHC stain, are used to identify adenocarcinoma of lung origin and may carry a prognostic value.7

The immunohistochemistry profiles, specifically the presence of prostate-specific markers such as PSA and NKX3.1, played a vital role in making the diagnosis.

In Case 1, weak TTF-1 positivity was noted, an unusual finding in metastatic prostate adenocarcinoma. Marak et al documented a rare case of TTF-1–positive metastatic prostate cancer, illustrating the potential for diagnostic confusion with primary lung malignancies.8

The 3 cases described in this report demonstrate the importance of clinical consideration, serial follow-up of PSA levels, using more prostate-specific positron emission tomography tracers (eg, Pylarify) alongside traditional imaging, and tissue biopsy to detect unusual metastases.

CONCLUSIONS

Although thoracic metastases from prostate cancer are rare, these presentations highlight the importance of clinical awareness regarding atypical cases. Pleural disease, endobronchial lesions, and isolated pulmonary nodules might be the first clinical manifestation of metastatic prostate cancer. A high index of suspicion, appropriate imaging, and judicious use of immunohistochemistry are important to ensure accurate diagnosis and optimal patient management.

Prostate cancer is the most common noncutaneous cancer in men, accounting for 29% of all incident cancer cases.1 Typically, prostate cancer metastasizes to bone and regional lymph nodes.2 However, intrathoracic manifestation may occur. This report presents 3 cases of rare intrathoracic manifestations of metastatic prostate cancer with a review of the current literature.

CASE PRESENTATIONS

Case 1

A 71-year-old male who was an active smoker and a long-standing employment as a plumber was diagnosed with rectal cancer in 2022. He completed neoadjuvant capecitabine and radiation therapy followed by a rectosigmoidectomy. Several weeks after surgery, the patient presented to the emergency department (ED) with a dry cough and worsening shortness of breath. Point-of-care ultrasound of the lungs revealed a moderate right pleural effusion with several nodular pleural masses. A chest computed tomography (CT) confirmed these findings (Figure 1). A CT of the abdomen and pelvis revealed prostatomegaly with the medial lobe of the prostate protruding into the bladder; however, no enlarged retroperitoneal, mesenteric or pelvic lymph nodes were noted. The patient underwent a right pleural fluid drainage and pleural mass biopsy. Pleural mass histomorphology as well as immunohistochemical (IHC) stains were consistent with metastatic prostate adenocarcinoma. The pleural fluid cytology also was consistent with metastatic prostate adenocarcinoma.

0825FED-AVAHO-Prostate-F1

Immunohistochemistry showed weak positive staining for prostate-specific NK3 homeobox 1 gene (NKX3.1), alpha-methylacyl-CoA racemase gene (AMACR), and prosaposin, and negative transcription termination factor (TTF-1), keratin-7 (CK7), and prosaposin, and negative transcription termination factor (TTF-1), keratin-7 (CK7), keratin-20, and caudal type homeobox 2 gene (CDX2) (Figure 2) 2). The patient's prostate-specific antigen (PSA) was found to be elevated at 33.9 ng/mL (reference range, < 4 ng/mL).

0825FED-AVAHO-Prostate-F2
Case 2

A 71-year-old male with a history of alcohol use disorder and a 30-year smoking history presented to the ED with worsening dyspnea on exertion. The patient’s baseline exercise tolerance decreased to walking for only 1 block. He reported unintentional weight loss of about 30 pounds over the prior year, no recent respiratory infections, no prior breathing problems, and no personal or family history of cancer. Chest CT revealed findings of bilateral peribronchial opacities as well as mediastinal and hilar lymphadenopathy (Figure 3). The patient developed hypoxic respiratory failure necessitating intubation, mechanical ventilation, and management in the medical intensive care unit, where he was treated for postobstructive pneumonia. Fiberoptic bronchoscopy revealed endobronchial lesions in the right and left upper lobe that were partially obstructing the airway (Figure 4).

0825FED-AVAHO-Prostate-F30825FED-AVAHO-Prostate-F4

The endobronchial masses were debulked using forceps, and samples were sent for surgical pathology evaluation. Staging was completed using linear endobronchial ultrasound, which revealed an enlarged subcarinal lymph node (S7). The surgical pathology of the endobronchial mass and the subcarinal lymph node cytology were consistent with metastatic adenocarcinoma of the prostate. The tumor cells were positive for AE1/AE3, PSA, and NKX3.1, but were negative for CK7 and TTF-1 (Figure 5). Further imaging revealed an enlarged heterogeneous prostate gland, prominent pelvic nodes, and left retroperitoneal lymphadenopathy, as well as sclerotic foci within the T10 vertebral body and right inferior pubic ramus. PSA was also found to be significantly elevated at 700 ng/mL.

0825FED-AVAHO-Prostate-F5
Case 3

An 80-year-old male veteran with a history of prostate cancer and recently diagnosed T2N1M0 head and neck squamous cell carcinoma was referred to the Pulmonary service for evaluation of a pulmonary nodule. His medical history was notable for prostate cancer diagnosed 12 years earlier, with an unknown Gleason score. Initial treatment included prostatectomy followed by whole pelvic radiation therapy a year after, due to elevated PSA in surveillance monitoring. This treatment led to remission. After establishing remission for > 10 years, the patient was started on low-dose testosterone replacement therapy to address complications of radiation therapy, namely hypogonadism.

On evaluation, a chest CT was significant for a large 2-cm right middle lobe nodule (Figure 6). At that time, PSA was noted to be borderline elevated at 4.2 ng/mL, and whole-body imaging did not reveal any lesions elsewhere, specifically no bone metastasis. Biopsies of the right middle lobe lung nodule revealed adenocarcinoma consistent with metastatic prostate cancer. Testosterone therapy was promptly discontinued.

0825FED-AVAHO-Prostate-F6

The patient initially refused androgen deprivation therapy owing to the antiandrogenic adverse effects. However, subsequent chest CTs revealed growing lung nodules, which convinced him to proceed with androgen deprivation therapy followed by palliative radiation, and chemotherapy and management of malignant pleural effusion with indwelling small bore pleural catheter for about 10 years. He died from COVID-19 during the pandemic.

DISCUSSION

These cases highlight the importance of including prostate cancer in the differential diagnoses of male patients with intrathoracic abnormalities, even in the absence of metastasis to the more common sites. In a large cohort study of 74,826 patients with metastatic prostate cancer, Gandaglia et al found that the most frequent sites of metastasis were bone (84.0%) and distant lymph nodes (10.6%).2 However, thoracic involvement was observed in 9.1% of cases, with isolated thoracic metastasis being rare. The cases described in this report exemplify exceptionally uncommon occurrences within that 9.1%.

Pleural metastases, as observed in Case 1, are a particularly rare manifestation. In a 10-year retrospective assessment, Vinjamoori et al discovered pleural nodules or masses in only 6 of 82 patients (7.3%) with atypical metastases.3 Adrenal and liver metastases accounted for 15% and 37% of cases with atypical distribution. As such, isolated pleural disease is rare even in atypical presentations.3

As seen in Case 2, endobronchial metastases producing airway obstruction are also rare, with the most common primary cancers associated with endobronchial metastasis being breast, colon, and renal cancer.4 The available literature on this presentation is confined to case reports. Hameed et al reported a case of synchronous biopsy-proven endobronchial metastasis from prostate cancer.5 These cases highlight the importance of maintaining a high level of clinical awareness when encountering endobronchial lesions in patients with prostate cancer.

Case 3 presents a unique situation of lung metastases without any involvement of the bones. It is well known—and was confirmed by Heidenreich et al—that lung metastases in prostate adenocarcinoma usually coincide with extensive osseous disease.6 This instance highlights the importance of watchful monitoring for unusual patterns of cancer recurrence.

Immunohistochemistry stains that are specific to prostate cancer include antibodies against PSA. Prostate-specific membrane antigen is another marker that is far more present in malignant than in benign prostate tissue.

The NKX3.1 gene encodes a homeobox protein, which is a transcription factor and tumor suppressor. In prostate cancer, there is loss of heterozygosity of the gene and stains for the IHC antibody to NKX3.1.7

On the other hand, lung cells stain positive for TTF-1, which is produced by surfactant-producing type 2 pneumocytes and club cells in the lung. Antibodies to TTF-1, a common IHC stain, are used to identify adenocarcinoma of lung origin and may carry a prognostic value.7

The immunohistochemistry profiles, specifically the presence of prostate-specific markers such as PSA and NKX3.1, played a vital role in making the diagnosis.

In Case 1, weak TTF-1 positivity was noted, an unusual finding in metastatic prostate adenocarcinoma. Marak et al documented a rare case of TTF-1–positive metastatic prostate cancer, illustrating the potential for diagnostic confusion with primary lung malignancies.8

The 3 cases described in this report demonstrate the importance of clinical consideration, serial follow-up of PSA levels, using more prostate-specific positron emission tomography tracers (eg, Pylarify) alongside traditional imaging, and tissue biopsy to detect unusual metastases.

CONCLUSIONS

Although thoracic metastases from prostate cancer are rare, these presentations highlight the importance of clinical awareness regarding atypical cases. Pleural disease, endobronchial lesions, and isolated pulmonary nodules might be the first clinical manifestation of metastatic prostate cancer. A high index of suspicion, appropriate imaging, and judicious use of immunohistochemistry are important to ensure accurate diagnosis and optimal patient management.

References
  1. Siegel RL, Giaquinto AN, Jemal A. Cancer statistics, 2024. CA Cancer J Clin. 2024;74(1):12-49. doi:10.3322/caac.21820
  2. Gandaglia G, Abdollah F, Schiffmann J, et al. Distribution of metastatic sites in patients with prostate cancer: a population-based analysis. Prostate. 2014;74(2):210-216. doi:10.1002/pros.22742
  3. Vinjamoori AH, Jagannathan JP, Shinagare AB, et al. Atypical metastases from prostate cancer: 10-year experience at a single institution. AJR Am J Roentgenol. 2012;199(2):367-372. doi:10.2214/AJR.11.7533
  4. Salud A, Porcel JM, Rovirosa A, Bellmunt J. Endobronchial metastatic disease: analysis of 32 cases. J Surg Oncol. 1996;62(4):249-252. doi:10.1002/(SICI)1096- 9098(199608)62:4<249::AID-JSO4>3.0.CO;2-6
  5. Hameed M, Haq IU, Yousaf M, Hussein M, Rashid U, Al-Bozom I. Endobronchial metastases secondary to prostate cancer: a case report and literature review. Respir Med Case Rep. 2020;32:101326. doi:10.1016/j.rmcr.2020.101326
  6. Heidenreich A, Bastian PJ, Bellmunt J, et al; for the European Association of Urology. EAU guidelines on prostate cancer. Part II: treatment of advanced, relapsing, and castration- resistant prostate cancer. Eur Urol. 2014;65(2):467- 479. doi:10.1016/j.eururo.2013.11.002
  7. Schallenberg S, Dernbach G, Dragomir MP, et al. TTF-1 status in early-stage lung adenocarcinoma is an independent predictor of relapse and survival superior to tumor grading. Eur J Cancer. 2024;197:113474. doi:10.1016/j.ejca.2023.113474
  8. Marak C, Guddati AK, Ashraf A, Smith J, Kaushik P. Prostate adenocarcinoma with atypical immunohistochemistry presenting with a Cheerio sign. AIM Clinical Cases. 2023;1:e220508. doi:10.7326/aimcc.2022.0508
References
  1. Siegel RL, Giaquinto AN, Jemal A. Cancer statistics, 2024. CA Cancer J Clin. 2024;74(1):12-49. doi:10.3322/caac.21820
  2. Gandaglia G, Abdollah F, Schiffmann J, et al. Distribution of metastatic sites in patients with prostate cancer: a population-based analysis. Prostate. 2014;74(2):210-216. doi:10.1002/pros.22742
  3. Vinjamoori AH, Jagannathan JP, Shinagare AB, et al. Atypical metastases from prostate cancer: 10-year experience at a single institution. AJR Am J Roentgenol. 2012;199(2):367-372. doi:10.2214/AJR.11.7533
  4. Salud A, Porcel JM, Rovirosa A, Bellmunt J. Endobronchial metastatic disease: analysis of 32 cases. J Surg Oncol. 1996;62(4):249-252. doi:10.1002/(SICI)1096- 9098(199608)62:4<249::AID-JSO4>3.0.CO;2-6
  5. Hameed M, Haq IU, Yousaf M, Hussein M, Rashid U, Al-Bozom I. Endobronchial metastases secondary to prostate cancer: a case report and literature review. Respir Med Case Rep. 2020;32:101326. doi:10.1016/j.rmcr.2020.101326
  6. Heidenreich A, Bastian PJ, Bellmunt J, et al; for the European Association of Urology. EAU guidelines on prostate cancer. Part II: treatment of advanced, relapsing, and castration- resistant prostate cancer. Eur Urol. 2014;65(2):467- 479. doi:10.1016/j.eururo.2013.11.002
  7. Schallenberg S, Dernbach G, Dragomir MP, et al. TTF-1 status in early-stage lung adenocarcinoma is an independent predictor of relapse and survival superior to tumor grading. Eur J Cancer. 2024;197:113474. doi:10.1016/j.ejca.2023.113474
  8. Marak C, Guddati AK, Ashraf A, Smith J, Kaushik P. Prostate adenocarcinoma with atypical immunohistochemistry presenting with a Cheerio sign. AIM Clinical Cases. 2023;1:e220508. doi:10.7326/aimcc.2022.0508
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'Distress is the Norm': How Oncologists Can Open the Door to Patient Mental Health

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'Distress is the Norm': How Oncologists Can Open the Door to Patient Mental Health

For patients with cancer, the determining factor in whether they pursue mental health services is often whether their oncologist explicitly says it is a good idea, a psychologist said during the July Association of VA Hematology and Oncology (AVAHO) seminar in Long Beach, California, on treating veterans with renal cell carcinoma (RCC).

Kysa Christie, PhD, of the West Los Angeles Veterans Affairs Medical Center, presented findings from a 2018 study in which researchers asked Swiss patients with cancer whether their oncologist discussed their emotional health with them. 

In terms of boosting intake, it did not matter if oncologists acknowledged distress or pointed out that psychosocial services existed. Instead, a direct recommendation made a difference, increasing the likelihood of using the services over a 4-month period after initial assessment (odds ratio, 6.27).

“What it took was, ‘I really recommend this. This is something that I would want you to try,’” Christie said. 

Oncologists are crucial links between patients and mental health services, Christie said: “If people don’t ask about [distress], you’re not going to see it, but it’s there. Distress is the norm, right? It is not a weakness. It is something that we expect to see.”

Christie noted that an estimated 20% of cancer patients have major depressive disorder, and 35% to 40% have a diagnosable psychiatric condition. RCC shows disproportionately high rates of mental strain. According to Christie, research suggests that about three-fourths of the population report elevated levels of distress as evidenced by patients who scored ≥ 5 on the NCCN Distress Thermometer. Patients with cancer have an estimated 20% higher risk of suicide, especially during the first 12 months after diagnosis and at end of life, she added.

“Early during a diagnosis phase, where you’re having a lot of tests being done, you know something is happening. But you don’t know what,” Christie said. “It could be very serious. That’s just a lot of stress to hold and not know how to plan for.”

After diagnosis, routine could set in and lower distress, she said. Then terminal illness may spike it back up again. Does mental health treatment work in patients with cancer?

“There’s a really strong body of evidence-based treatments for depression, anxiety, adjustment disorders, and coping with different cancers,” Christie said. But it is a step too far to expect patients to ask for help while they are juggling appointments, tests, infusions, and more. “It’s a big ask, right? It’s setting people up for failure.”

To help, Christie said she is embedded with a medical oncology team and routinely talks with the staff about which patients may need help. “One thing I like to do is try to have brief visits with veterans and introduce myself when they come to clinic. I treat it like an opt-out rather than an opt-in program: I’ll just pop into the exam room. They don’t have to ask to see me.”

Christie focuses on open-ended questions and talks about resources ranging from support groups and brief appointments to extensive individual therapy. 

Another approach is a strategy known as the “warm handoff,” when an oncologist directly introduces a patient to a mental health professional. “It’s a transfer of care in front of the veteran: It’s much more time-efficient than putting in a referral.”

Christie explained how this can work. A clinician will ask her to meet with a patient during an appointment, perhaps in a couple minutes.

“Then I pop into the room, and the oncologist says, ‘Thanks for joining us. This is Mr. Jones. He has been experiencing feelings of anxiety and sadness, and we’d appreciate your help in exploring some options that might help.’  I turn to the patient and ask, ‘What more would you add?’ Then I either take Mr. Jones back to my office or stay in clinic, and we’re off to the races.”

Christie reported no disclosures.

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For patients with cancer, the determining factor in whether they pursue mental health services is often whether their oncologist explicitly says it is a good idea, a psychologist said during the July Association of VA Hematology and Oncology (AVAHO) seminar in Long Beach, California, on treating veterans with renal cell carcinoma (RCC).

Kysa Christie, PhD, of the West Los Angeles Veterans Affairs Medical Center, presented findings from a 2018 study in which researchers asked Swiss patients with cancer whether their oncologist discussed their emotional health with them. 

In terms of boosting intake, it did not matter if oncologists acknowledged distress or pointed out that psychosocial services existed. Instead, a direct recommendation made a difference, increasing the likelihood of using the services over a 4-month period after initial assessment (odds ratio, 6.27).

“What it took was, ‘I really recommend this. This is something that I would want you to try,’” Christie said. 

Oncologists are crucial links between patients and mental health services, Christie said: “If people don’t ask about [distress], you’re not going to see it, but it’s there. Distress is the norm, right? It is not a weakness. It is something that we expect to see.”

Christie noted that an estimated 20% of cancer patients have major depressive disorder, and 35% to 40% have a diagnosable psychiatric condition. RCC shows disproportionately high rates of mental strain. According to Christie, research suggests that about three-fourths of the population report elevated levels of distress as evidenced by patients who scored ≥ 5 on the NCCN Distress Thermometer. Patients with cancer have an estimated 20% higher risk of suicide, especially during the first 12 months after diagnosis and at end of life, she added.

“Early during a diagnosis phase, where you’re having a lot of tests being done, you know something is happening. But you don’t know what,” Christie said. “It could be very serious. That’s just a lot of stress to hold and not know how to plan for.”

After diagnosis, routine could set in and lower distress, she said. Then terminal illness may spike it back up again. Does mental health treatment work in patients with cancer?

“There’s a really strong body of evidence-based treatments for depression, anxiety, adjustment disorders, and coping with different cancers,” Christie said. But it is a step too far to expect patients to ask for help while they are juggling appointments, tests, infusions, and more. “It’s a big ask, right? It’s setting people up for failure.”

To help, Christie said she is embedded with a medical oncology team and routinely talks with the staff about which patients may need help. “One thing I like to do is try to have brief visits with veterans and introduce myself when they come to clinic. I treat it like an opt-out rather than an opt-in program: I’ll just pop into the exam room. They don’t have to ask to see me.”

Christie focuses on open-ended questions and talks about resources ranging from support groups and brief appointments to extensive individual therapy. 

Another approach is a strategy known as the “warm handoff,” when an oncologist directly introduces a patient to a mental health professional. “It’s a transfer of care in front of the veteran: It’s much more time-efficient than putting in a referral.”

Christie explained how this can work. A clinician will ask her to meet with a patient during an appointment, perhaps in a couple minutes.

“Then I pop into the room, and the oncologist says, ‘Thanks for joining us. This is Mr. Jones. He has been experiencing feelings of anxiety and sadness, and we’d appreciate your help in exploring some options that might help.’  I turn to the patient and ask, ‘What more would you add?’ Then I either take Mr. Jones back to my office or stay in clinic, and we’re off to the races.”

Christie reported no disclosures.

For patients with cancer, the determining factor in whether they pursue mental health services is often whether their oncologist explicitly says it is a good idea, a psychologist said during the July Association of VA Hematology and Oncology (AVAHO) seminar in Long Beach, California, on treating veterans with renal cell carcinoma (RCC).

Kysa Christie, PhD, of the West Los Angeles Veterans Affairs Medical Center, presented findings from a 2018 study in which researchers asked Swiss patients with cancer whether their oncologist discussed their emotional health with them. 

In terms of boosting intake, it did not matter if oncologists acknowledged distress or pointed out that psychosocial services existed. Instead, a direct recommendation made a difference, increasing the likelihood of using the services over a 4-month period after initial assessment (odds ratio, 6.27).

“What it took was, ‘I really recommend this. This is something that I would want you to try,’” Christie said. 

Oncologists are crucial links between patients and mental health services, Christie said: “If people don’t ask about [distress], you’re not going to see it, but it’s there. Distress is the norm, right? It is not a weakness. It is something that we expect to see.”

Christie noted that an estimated 20% of cancer patients have major depressive disorder, and 35% to 40% have a diagnosable psychiatric condition. RCC shows disproportionately high rates of mental strain. According to Christie, research suggests that about three-fourths of the population report elevated levels of distress as evidenced by patients who scored ≥ 5 on the NCCN Distress Thermometer. Patients with cancer have an estimated 20% higher risk of suicide, especially during the first 12 months after diagnosis and at end of life, she added.

“Early during a diagnosis phase, where you’re having a lot of tests being done, you know something is happening. But you don’t know what,” Christie said. “It could be very serious. That’s just a lot of stress to hold and not know how to plan for.”

After diagnosis, routine could set in and lower distress, she said. Then terminal illness may spike it back up again. Does mental health treatment work in patients with cancer?

“There’s a really strong body of evidence-based treatments for depression, anxiety, adjustment disorders, and coping with different cancers,” Christie said. But it is a step too far to expect patients to ask for help while they are juggling appointments, tests, infusions, and more. “It’s a big ask, right? It’s setting people up for failure.”

To help, Christie said she is embedded with a medical oncology team and routinely talks with the staff about which patients may need help. “One thing I like to do is try to have brief visits with veterans and introduce myself when they come to clinic. I treat it like an opt-out rather than an opt-in program: I’ll just pop into the exam room. They don’t have to ask to see me.”

Christie focuses on open-ended questions and talks about resources ranging from support groups and brief appointments to extensive individual therapy. 

Another approach is a strategy known as the “warm handoff,” when an oncologist directly introduces a patient to a mental health professional. “It’s a transfer of care in front of the veteran: It’s much more time-efficient than putting in a referral.”

Christie explained how this can work. A clinician will ask her to meet with a patient during an appointment, perhaps in a couple minutes.

“Then I pop into the room, and the oncologist says, ‘Thanks for joining us. This is Mr. Jones. He has been experiencing feelings of anxiety and sadness, and we’d appreciate your help in exploring some options that might help.’  I turn to the patient and ask, ‘What more would you add?’ Then I either take Mr. Jones back to my office or stay in clinic, and we’re off to the races.”

Christie reported no disclosures.

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Colorectal Cancer Characteristics and Mortality From Propensity Score-Matched Cohorts of Urban and Rural Veterans

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Colorectal Cancer Characteristics and Mortality From Propensity Score-Matched Cohorts of Urban and Rural Veterans

Colorectal cancer (CRC) is the second-leading cause of cancer-related deaths in the United States, with an estimated 52,550 deaths in 2023.1 However, the disease burden varies among different segments of the population.2 While both CRC incidence and mortality have been decreasing due to screening and advances in treatment, there are disparities in incidence and mortality across the sociodemographic spectrum including race, ethnicity, education, and income.1-4 While CRC incidence is decreasing for older adults, it is increasing among those aged < 55 years.5 The incidence of CRC in adults aged 40 to 54 years has increased by 0.5% to 1.3% annually since the mid-1990s.6 The US Preventive Services Task Force now recommends starting CRC screening at age 45 years for asymptomatic adults with average risk.7

Disparities also exist across geographical boundaries and living environment. Rural Americans faces additional challenges in health and lifestyle that can affect CRC outcomes. Compared to their urban counterparts, rural residents are more likely to be older, have lower levels of education, higher levels of poverty, lack health insurance, and less access to health care practitioners (HCPs).8-10 Geographic proximity, defined as travel time or physical distance to a health facility, has been recognized as a predictor of inferior outcomes.11 These aspects of rural living may pose challenges for accessing care for CRC screening and treatment.11-13 National and local studies have shown disparities in CRC screening rates, incidence, and mortality between rural and urban populations.14-16

It is unclear whether rural/urban disparities persist under the Veterans Health Administration (VHA) health care delivery model. This study examined differences in baseline characteristics and mortality between rural and urban veterans newly diagnosed with CRC. We also focused on a subpopulation aged ≤ 45 years.

Methods

This study extracted national data from the US Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW) hosted in the VA Informatics and Computing Infrastructure (VINCI) environment. VINCI is an initiative to improve access to VA data and facilitate the analysis of these data while ensuring veterans’ privacy and data security.17 CDW is the VHA business intelligence information repository, which extracts data from clinical and nonclinical sources following prescribed and validated protocols. Data extracted included demographics, diagnosis, and procedure codes for both inpatient and outpatient encounters, vital signs, and vital status. This study used data previously extracted from a national cohort of veterans that encompassed all patients who received a group of commonly prescribed medications, such as statins, proton pump inhibitors, histamine-2 blockers, acetaminophen-containing products, and hydrocortisone-containing skin applications. This cohort encompassed 8,648,754 veterans, from whom 2,460,727 had encounters during fiscal years (FY) 2016 to 2021 (study period). The cohort was used to ensure that subjects were VHA patients, allowing them to adequately capture their clinical profiles.

Patients were identified as rural or urban based on their residence address at the date of their first diagnosis of CRC. The Geospatial Service Support Center (GSSC) aggregates and updates veterans’ residence address records for all enrolled veterans from the National Change of Address database. The data contain 1 record per enrollee. GSSC Geocoded Enrollee File contains enrollee addresses and their rurality indicators, categorized as urban, rural, or highly rural.18 Rurality is defined by the Rural Urban Commuting Area (RUCA) categories developed by the Department of Agriculture and the Health Resources and Services Administration of the US Department of Health and Human Services.19 Urban areas had RUCA codes of 1.0 to 1.1, and highly rural areas had RUCA scores of 10.0. All other areas were classified as rural. Since the proportion of veterans from highly rural areas was small, we included residents from highly rural areas in the rural residents’ group.

Inclusion and Exclusion Criteria

All veterans newly diagnosed with CRC from FY 2016 to 2021 were included. We used the ninth and tenth clinical modification revisions of the International Classification of Diseases (ICD-9-CM and ICD-10-CM) to define CRC diagnosis (Supplemental materials).4,20 To ensure that patients were newly diagnosed with CRC, this study excluded patients with a previous ICD-9-CM code for CRC diagnosis since FY 2003.

Comorbidities were identified using diagnosis and procedure codes from inpatient and outpatient encounters, which were used to calculate the Charlson Comorbidity Index (CCI) at the time of CRC diagnosis using the weighted method described by Schneeweiss et al.21 We defined CRC high-risk conditions and CRC screening tests, including flexible sigmoidoscopy and stool tests, as described in previous studies (Supplemental materials).20

The main outcome was total mortality. The date of death was extracted from the VHA Death Ascertainment File, which contains mortality data from the Master Person Index file in CDW and the Social Security Administration Death Master File. We used the date of death from any cause, as cause of death was not available.

A propensity score (PS) was created to match rural (including highly rural) and urban residents at a ratio of 1:1. Using a standard procedure described in prior publications, multivariable logistic regression used all baseline characteristics to estimate the PS and perform nearest-number matching without replacement.22,23 A caliper of 0.01 maximized the matched cohort size and achieved balance (Supplemental materials). We then examined the balance of baseline characteristics between PS-matched groups.

Analyses

Cox proportional hazards regression analysis estimated the hazard ratio (HR) of death in rural residents compared to urban residents in the PS-matched cohort. The outcome event was the date of death during the study’s follow-up period (defined as period from first CRC diagnosis to death or study end), with censoring at the study’s end date (September 30, 2021). The proportional hazards assumption was assessed by inspecting the Kaplan-Meier curves. Multiple analyses examined the HR of total mortality in the PS-matched cohort, stratified by sex, race, and ethnicity. We also examined the HR of total mortality stratified by duration of follow-up.

Another PS-matching analysis among veterans aged ≤ 45 years was performed using the same techniques described earlier in this article. We performed a Cox proportional hazards regression analysis to compare mortality in PS-matched urban and rural veterans aged ≤ 45 years. The HR of death in all veterans aged ≤ 45 years (before PS-matching) was estimated using Cox proportional hazard regression analysis, adjusting for PS.

Dichotomous variables were compared using X2 tests and continuous variables were compared using t tests. Baseline characteristics with missing values were converted into categorical variables and the proportion of subjects with missing values was equalized between treatment groups after PS-matching. For subgroup analysis, we examined the HR of total mortality in each subgroup using separate Cox proportional hazards regression models similar to the primary analysis but adjusted for PS. Due to multiple comparisons in the subgroup analysis, the findings should be considered exploratory. Statistical tests were 2-tailed, and significance was defined as P < .05. Data management and statistical analyses were conducted from June 2022 to January 2023 using STATA, Version 17. The VA Orlando Healthcare System Institutional Review Board approved the study and waived requirements for informed consent because only deidentified data were used.

Results

After excluding 49 patients (Supplemental materials, available at doi:10.12788/fp.0560), we identified 30,219 veterans with newly diagnosed CRC between FY 2016 to 2021 (Table 1). Of these, 19,422 (64.3%) resided in urban areas and 10,797 (35.7%) resided in rural areas (Table 2). The mean (SD) duration from the first CRC diagnosis to death or study end was 832 (640) days, and the median (IQR) was 723 (246–1330) days. Overall, incident CRC diagnoses were numerically highest in FY 2016 and lowest in FY 2020 (Figure 1). Patients with CRC in rural areas vs urban areas were significantly older (mean, 71.2 years vs 70.8 years, respectively; P < .001), more likely to be male (96.7% vs 95.7%, respectively; P < .001), more likely to be White (83.6% vs 67.8%, respectively; P < .001) and more likely to be non-Hispanic (92.2% vs 87.5%, respectively; P < .001). In terms of general health, rural veterans with CRC were more likely to be overweight or obese (81.5% rural vs 78.5% urban; P < .001) but had fewer mean comorbidities as measured by CCI (5.66 rural vs 5.90 urban; P < .001). A higher proportion of rural veterans with CRC had received stool-based (fecal occult blood test or fecal immunochemical test) CRC screening tests (61.6% rural vs 57.2% urban; P < .001). Fewer rural patients presented with systemic symptoms or signs within 1 year of CRC diagnosis (54.4% rural vs 57.5% urban, P < .001). Among urban patients with CRC, 6959 (35.8%) deaths were observed, compared with 3766 (34.9%) among rural patients (P = .10).

0525FED-AVAHO-CRC_T10525FED-AVAHO-CRC_T20525FED-AVAHO-CRC_F1

There were 21,568 PS-matched veterans: 10,784 in each group. In the PS-matched cohort, baseline characteristics were similar between veterans in urban and rural communities, including age, sex, race/ethnicity, body mass index, and comorbidities. Among rural patients with CRC, 3763 deaths (34.9%) were observed compared with 3702 (34.3%) among urban veterans. There was no significant difference in the HR of mortality between rural and urban CRC residents (HR, 1.01; 95% CI, 0.97-1.06; P = .53) (Figure 2).

0525FED-AVAHO-CRC_F20525FED-AVAHO-CRC_F30525FED-AVAHO-CRC_F4

Among veterans aged ≤ 45 years, 551 were diagnosed with CRC (391 urban and 160 rural). We PS-matched 142 pairs of urban and rural veterans without residual differences in baseline characteristics (eAppendix 1). There was no significant difference in the HR of mortality between rural and urban veterans aged ≤ 45 years (HR, 0.97; 95% CI, 0.57-1.63; P = .90) (Figure 2). Similarly, no difference in mortality was observed adjusting for PS between all rural and urban veterans aged ≤ 45 years (HR, 1.03; 95% CI, 0.67-1.59; P = .88).

0525FED-AVAHO-CRC_eApp1

There was no difference in total mortality between rural and urban veterans in any subgroup except for American Indian or Alaska Native veterans (HR, 2.41; 95% CI, 1.29-4.50; P = .006) (eAppendix 2).

0525FED-AVAHO-CRC_eApp2

Discussion

This study examined characteristics of patients with CRC between urban and rural areas among veterans who were VHA patients. Similar to other studies, rural veterans with CRC were older, more likely to be White, and were obese, but exhibited fewer comorbidities (lower CCI and lower incidence of congestive heart failure, dementia, hemiplegia, kidney diseases, liver diseases and AIDS, but higher incidence of chronic obstructive lung disease).8,16 The incidence of CRC in this study population was lowest in FY 2020, which was reported by the Centers for Disease Control and Prevention and is attributed to COVID-19 pandemic disruption of health services.24 The overall mortality in this study was similar to rates reported in other studies from the VA Central Cancer Registry.4 In the PS-matched cohort, where baseline characteristics were similar between urban and rural patients with CRC, we found no disparities in CRC-specific mortality between veterans in rural and urban areas. Additionally, when analysis was restricted to veterans aged ≤ 45 years, the results remained consistent.

Subgroup analyses showed no significant difference in mortality between rural and urban areas by sex, race or ethnicity, except rural American Indian or Alaska Native veterans who had double the mortality of their urban counterparts (HR, 2.41; 95% CI, 1.29-4.50; P = .006). This finding is difficult to interpret due to the small number of events and the wide CI. While with a Bonferroni correction the adjusted P value was .08, which is not statistically significant, a previous study found that although CRC incidence was lower overall in American Indian or Alaska Native populations compared to non-Hispanic White populations, CRC incidence was higher among American Indian or Alaska Native individuals in some areas such as Alaska and the Northern Plains.25,26 Studies have noted that rural American Indian/Alaska Native populations experience greater poverty, less access to broadband internet, and limited access to care, contributing to poorer cancer outcomes and lower survival.27 Thus, the finding of disparity in mortality between rural and urban American Indian or Alaska Native veterans warrants further study.

Other studies have raised concerns that CRC disproportionately affects adults in rural areas with higher mortality rates.14-16 These disparities arise from sociodemographic factors and modifiable risk factors, including physical activity, dietary patterns, access to cancer screening, and gaps in quality treatment resources.16,28 These factors operate at multiple levels: from individual, local health system, to community and policy.2,27 For example, a South Carolina study (1996–2016) found that residents in rural areas were more likely to be diagnosed with advanced CRC, possibly indicating lower rates of CRC screening in rural areas. They also had higher likelihood of death from CRC.15 However, the study did not include any clinical parameters, such as comorbidities or obesity. A statewide, population-based study in Utah showed that rural men experienced a lower CRC survival in their unadjusted analysis.16 However, the study was small, with only 3948 urban and 712 rural residents. Additionally, there was no difference in total mortality in the whole cohort (HR, 0.96; 95% CI, 0.86-1.07) or in CRC-specific death (HR, 0.93; 95% CI, 0.81-1.08). A nationwide study also showed that CRC mortality rates were 8% higher in nonmetropolitan or rural areas than in the most urbanized areas containing large metropolitan counties.29 However, this study did not include descriptions of clinical confounders, such as comorbidities, making it difficult to ascertain whether the difference in CRC mortality was due to rurality or differences in baseline risk characteristics.

In this study, the lack of CRC-specific mortality disparities may be attributed to the structures and practices of VHA health care. Recent studies have noted that mortality of several chronic medical conditions treated at the VHA was lower than at non-VHA hospitals.30,31 One study that measured the quality of nonmetastatic CRC care based on National Comprehensive Cancer Network guidelines showed that > 72% of VHA patients received guideline-concordant care for each diagnostic and therapeutic measure, except for follow-up colonoscopy timing, which appear to be similar or superior to that of the private sector.30,32,33 Some of the VA initiative for CRC screening may bypass the urban-rurality divide such as the mailed fecal immunochemical test program for CRC. This program was implemented at the onset of the COVID-19 pandemic to avoid disruptions of medical care.34 Rural patients are more likely to undergo fecal immunochemical testing when compared to urban patients in this data. Beyond clinical care, the VHA uses processes to tackle social determinants of health such as housing, food security, and transportation, promoting equal access to health care, and promoting cultural competency among HCPs.35-37

The results suggest that solutions to CRC disparities between rural and urban areas need to consider known barriers to rural health care, including transportation, diminished rural health care workforce, and other social determinants of health.9,10,27,38 VHA makes considerable efforts to provide equitable care to all enrolled veterans, including specific programs for rural veterans, including ongoing outreach.39 This study demonstrated lack of disparity in CRC-specific mortality in veterans receiving VHA care, highlighting the importance of these efforts.

Strengths and Limitations

This study used the VHA cohort to compare patient characteristics and mortality between patients with CRC residing in rural and urban areas. The study provides nationwide perspectives on CRC across the geographical spectrum and used a longitudinal cohort with prolonged follow-up to account for comorbidities.

However, the study compared a cohort of rural and urban veterans enrolled in the VHA; hence, the results may not reflect CRC outcomes in veterans without access to VHA care. Rurality has been independently associated with decreased likelihood of meeting CRC screening guidelines among veterans and military service members.38 This study lacked sufficient information to compare CRC staging or treatment modalities among veterans. Although the data cannot identify CRC stage, the proportions of patients with metastatic CRC at diagnosis and CRC location were similar between groups. The study did not have information on their care outside of VHA setting.

This study could not ascertain whether disparities existed in CRC treatment modality since rural residence may result in referral to community-based CRC care, which did not appear in the data. To address these limitations, we used death from any cause as the primary outcome, since death is a hard outcome and is not subject to ascertainment bias. The relatively short follow-up time is another limitation, though subgroup analysis by follow-up did not show significant differences. Despite PS matching, residual unmeasured confounding may exist between urban and rural groups. The predominantly White, male VHA population with high CCI may limit the generalizability of the results.

Conclusions

Rural VHA enrollees had similar survival rates after CRC diagnosis compared to their urban counterparts in a PS-matched analysis. The VHA models of care—including mailed CRC screening tools, several socioeconomic determinants of health (housing, food security, and transportation), and promoting equal access to health care, as well as cultural competency among HCPs—HCPs—may help alleviate disparities across the rural-urban spectrum. The VHA should continue efforts to enroll veterans and provide comprehensive coordinated care in community partnerships.

References
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  4. Zullig LL, Smith VA, Jackson GL, et al. Colorectal cancer statistics from the Veterans Affairs central cancer registry. Clin Colorectal Cancer. 2016;15(4):e199-e204. doi:10.1016/j.clcc.2016.04.005
  5. Lin JS, Perdue LA, Henrikson NB, Bean SI, Blasi PR. Screening for Colorectal Cancer: An Evidence Update for the US Preventive Services Task Force. 2021. U.S. Preventive Services Task Force Evidence Syntheses, formerly Systematic Evidence Reviews:Chapter 1. Agency for Healthcare Research and Quality (US); 2021. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK570917/
  6. Siegel RL, Fedewa SA, Anderson WF, et al. Colorectal cancer incidence patterns in the United States, 1974-2013. J Natl Cancer Inst. 2017;109(8). doi:10.1093/jnci/djw322
  7. Davidson KW, Barry MJ, Mangione CM, et al. Screening for colorectal cancer: US Preventive Services Task Force recommendation statement. JAMA. 2021;325(19):1965-1977. doi:10.1001/jama.2021.6238
  8. Hines R, Markossian T, Johnson A, Dong F, Bayakly R. Geographic residency status and census tract socioeconomic status as determinants of colorectal cancer outcomes. Am J Public Health. 2014;104(3):e63-e71. doi:10.2105/AJPH.2013.301572
  9. Cauwels J. The many barriers to high-quality rural health care. 2022;(9):1-32. NEJM Catal Innov Care Deliv. Accessed April 24, 2025. https://catalyst.nejm.org/doi/pdf/10.1056/CAT.22.0254
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  11. Aboagye JK, Kaiser HE, Hayanga AJ. Rural-urban differences in access to specialist providers of colorectal cancer care in the United States: a physician workforce issue. JAMA Surg. 2014;149(6):537-543. doi:10.1001/jamasurg.2013.5062
  12. Lyckholm LJ, Hackney MH, Smith TJ. Ethics of rural health care. Crit Rev Oncol Hematol. 2001;40(2):131-138. doi:10.1016/s1040-8428(01)00139-1
  13. Krieger N, Williams DR, Moss NE. Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health. 1997;18:341-378. doi:10.1146/annurev.publhealth.18.1.341
  14. Singh GK, Jemal A. Socioeconomic and racial/ethnic disparities in cancer mortality, incidence, and survival in the United States, 1950-2014: over six decades of changing patterns and widening inequalities. J Environ Public Health. 2017;2017:2819372. doi:10.1155/2017/2819372
  15. Adams SA, Zahnd WE, Ranganathan R, et al. Rural and racial disparities in colorectal cancer incidence and mortality in South Carolina, 1996 - 2016. J Rural Health. 2022;38(1):34-39. doi:10.1111/jrh.12580
  16. Rogers CR, Blackburn BE, Huntington M, et al. Rural- urban disparities in colorectal cancer survival and risk among men in Utah: a statewide population-based study. Cancer Causes Control. 2020;31(3):241-253. doi:10.1007/s10552-020-01268-2
  17. US Department of Veterans Affairs. VA Informatics and Computing Infrastructure (VINCI), VA HSR RES 13-457. https://vincicentral.vinci.med.va.gov [Source not verified]
  18. US Department of Veterans Affairs Information Resource Center. VIReC Research User Guide: PSSG Geocoded Enrollee Files, 2015 Edition. US Department of Veterans Affairs, Health Services Research & Development Service, Information Resource Center; May. 2016. [source not verified]
  19. Goldsmith HF, Puskin DS, Stiles DJ. Improving the operational definition of “rural areas” for federal programs. US Department of Health and Human Services; 1993. Accessed February 27, 2025. https://www.ruralhealthinfo.org/pdf/improving-the-operational-definition-of-rural-areas.pdf
  20. Adams MA, Kerr EA, Dominitz JA, et al. Development and validation of a new ICD-10-based screening colonoscopy overuse measure in a large integrated healthcare system: a retrospective observational study. BMJ Qual Saf. 2023;32(7):414-424. doi:10.1136/bmjqs-2021-014236
  21. Schneeweiss S, Wang PS, Avorn J, Glynn RJ. Improved comorbidity adjustment for predicting mortality in Medicare populations. Health Serv Res. 2003;38(4):1103-1120. doi:10.1111/1475-6773.00165
  22. Becker S, Ichino A. Estimation of average treatment effects based on propensity scores. The Stata Journal. 2002;2(4):358-377.
  23. Leuven E, Sianesi B. PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. Statistical software components. Revised February 1, 2018. Accessed February 27, 2025. https://ideas.repec.org/c/boc/bocode/s432001.html.
  24. US Cancer Statistics Working Group. US cancer statistics data visualizations tool. Centers for Disease Control and Prevention. June 2024. Accessed February 27, 2025. https://www.cdc.gov/cancer/dataviz
  25. Cao J, Zhang S. Multiple Comparison Procedures. JAMA. 2014;312(5):543-544. doi:10.1001/jama.2014.9440
  26. Gopalani SV, Janitz AE, Martinez SA, et al. Trends in cancer incidence among American Indians and Alaska Natives and Non-Hispanic Whites in the United States, 1999-2015. Epidemiology. 2020;31(2):205-213. doi:10.1097/EDE.0000000000001140
  27. Zahnd WE, Murphy C, Knoll M, et al. The intersection of rural residence and minority race/ethnicity in cancer disparities in the United States. Int J Environ Res Public Health. 2021;18(4). doi:10.3390/ijerph18041384
  28. Blake KD, Moss JL, Gaysynsky A, Srinivasan S, Croyle RT. Making the case for investment in rural cancer control: an analysis of rural cancer incidence, mortality, and funding trends. Cancer Epidemiol Biomarkers Prev. 2017;26(7):992-997. doi:10.1158/1055-9965.EPI-17-0092
  29. Singh GK, Williams SD, Siahpush M, Mulhollen A. Socioeconomic, rural-urban, and racial inequalities in US cancer mortality: part i-all cancers and lung cancer and part iicolorectal, prostate, breast, and cervical cancers. J Cancer Epidemiol. 2011;2011:107497. doi:10.1155/2011/107497
  30. Jackson GL, Melton LD, Abbott DH, et al. Quality of nonmetastatic colorectal cancer care in the Department of Veterans Affairs. J Clin Oncol. 2010;28(19):3176-3181. doi:10.1200/JCO.2009.26.7948
  31. Yoon J, Phibbs CS, Ong MK, et al. Outcomes of veterans treated in Veterans Affairs hospitals vs non-Veterans Affairs hospitals. JAMA Netw Open. 2023;6(12):e2345898. doi:10.1001/jamanetworkopen.2023.45898
  32. Malin JL, Schneider EC, Epstein AM, Adams J, Emanuel EJ, Kahn KL. Results of the National Initiative for Cancer Care Quality: how can we improve the quality of cancer care in the United States? J Clin Oncol. 2006;24(4):626-634. doi:10.1200/JCO.2005.03.3365
  33. Levin B, Lieberman DA, McFarland B, et al. Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. Gastroenterology. 2008;134(5):1570-1595. doi:10.1053/j.gastro.2008.02.002
  34. Deeds SA, Moore CB, Gunnink EJ, et al. Implementation of a mailed faecal immunochemical test programme for colorectal cancer screening among Veterans. BMJ Open Qual. 2022;11(4). doi:10.1136/bmjoq-2022-001927
  35. Yehia BR, Greenstone CL, Hosenfeld CB, Matthews KL, Zephyrin LC. The role of VA community care in addressing health and health care disparities. Med Care. 2017;55(Suppl 9 suppl 2):S4-S5. doi:10.1097/MLR.0000000000000768
  36. Wright BN, MacDermid Wadsworth S, Wellnitz A, Eicher- Miller HA. Reaching rural veterans: a new mechanism to connect rural, low-income US Veterans with resources and improve food security. J Public Health (Oxf). 2019;41(4):714-723. doi:10.1093/pubmed/fdy203
  37. Nelson RE, Byrne TH, Suo Y, et al. Association of temporary financial assistance with housing stability among US veterans in the supportive services for veteran families program. JAMA Netw Open. 2021;4(2):e2037047. doi:10.1001/jamanetworkopen.2020.37047
  38. McDaniel JT, Albright D, Lee HY, et al. Rural–urban disparities in colorectal cancer screening among military service members and Veterans. J Mil Veteran Fam Health. 2019;5(1):40-48. doi:10.3138/jmvfh.2018-0013
  39. US Department of Veterans Affairs, Office of Rural Health. The rural veteran outreach toolkit. Updated February 12, 2025. Accessed February 18, 2025. https://www.ruralhealth.va.gov/partners/toolkit.asp
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Minh Anh Le, MDa; Po-Hong Liu, MDb; Amar Mandalia, MDc; Sergio Romero, MDd; Ishak A. Mansi, MDa,c; Moheb Boktor, MDb

Author affiliations: 
aUniversity of Central Florida, Orlando 
bUniversity of Texas Southwestern Medical Center, Dallas 
cOrlando Veterans Affairs Medical Center, Florida 
dNorth Florida/South Georgia Veterans Health System, Gainesville

Author disclosures: The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Ishak Mansi (ishak.mansi@va.gov)

Fed Pract. 2025;42(suppl 2). Published online May 8. doi:10.12788/fp.0560

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Author affiliations: 
aUniversity of Central Florida, Orlando 
bUniversity of Texas Southwestern Medical Center, Dallas 
cOrlando Veterans Affairs Medical Center, Florida 
dNorth Florida/South Georgia Veterans Health System, Gainesville

Author disclosures: The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Ishak Mansi (ishak.mansi@va.gov)

Fed Pract. 2025;42(suppl 2). Published online May 8. doi:10.12788/fp.0560

Author and Disclosure Information

Minh Anh Le, MDa; Po-Hong Liu, MDb; Amar Mandalia, MDc; Sergio Romero, MDd; Ishak A. Mansi, MDa,c; Moheb Boktor, MDb

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aUniversity of Central Florida, Orlando 
bUniversity of Texas Southwestern Medical Center, Dallas 
cOrlando Veterans Affairs Medical Center, Florida 
dNorth Florida/South Georgia Veterans Health System, Gainesville

Author disclosures: The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Ishak Mansi (ishak.mansi@va.gov)

Fed Pract. 2025;42(suppl 2). Published online May 8. doi:10.12788/fp.0560

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Colorectal cancer (CRC) is the second-leading cause of cancer-related deaths in the United States, with an estimated 52,550 deaths in 2023.1 However, the disease burden varies among different segments of the population.2 While both CRC incidence and mortality have been decreasing due to screening and advances in treatment, there are disparities in incidence and mortality across the sociodemographic spectrum including race, ethnicity, education, and income.1-4 While CRC incidence is decreasing for older adults, it is increasing among those aged < 55 years.5 The incidence of CRC in adults aged 40 to 54 years has increased by 0.5% to 1.3% annually since the mid-1990s.6 The US Preventive Services Task Force now recommends starting CRC screening at age 45 years for asymptomatic adults with average risk.7

Disparities also exist across geographical boundaries and living environment. Rural Americans faces additional challenges in health and lifestyle that can affect CRC outcomes. Compared to their urban counterparts, rural residents are more likely to be older, have lower levels of education, higher levels of poverty, lack health insurance, and less access to health care practitioners (HCPs).8-10 Geographic proximity, defined as travel time or physical distance to a health facility, has been recognized as a predictor of inferior outcomes.11 These aspects of rural living may pose challenges for accessing care for CRC screening and treatment.11-13 National and local studies have shown disparities in CRC screening rates, incidence, and mortality between rural and urban populations.14-16

It is unclear whether rural/urban disparities persist under the Veterans Health Administration (VHA) health care delivery model. This study examined differences in baseline characteristics and mortality between rural and urban veterans newly diagnosed with CRC. We also focused on a subpopulation aged ≤ 45 years.

Methods

This study extracted national data from the US Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW) hosted in the VA Informatics and Computing Infrastructure (VINCI) environment. VINCI is an initiative to improve access to VA data and facilitate the analysis of these data while ensuring veterans’ privacy and data security.17 CDW is the VHA business intelligence information repository, which extracts data from clinical and nonclinical sources following prescribed and validated protocols. Data extracted included demographics, diagnosis, and procedure codes for both inpatient and outpatient encounters, vital signs, and vital status. This study used data previously extracted from a national cohort of veterans that encompassed all patients who received a group of commonly prescribed medications, such as statins, proton pump inhibitors, histamine-2 blockers, acetaminophen-containing products, and hydrocortisone-containing skin applications. This cohort encompassed 8,648,754 veterans, from whom 2,460,727 had encounters during fiscal years (FY) 2016 to 2021 (study period). The cohort was used to ensure that subjects were VHA patients, allowing them to adequately capture their clinical profiles.

Patients were identified as rural or urban based on their residence address at the date of their first diagnosis of CRC. The Geospatial Service Support Center (GSSC) aggregates and updates veterans’ residence address records for all enrolled veterans from the National Change of Address database. The data contain 1 record per enrollee. GSSC Geocoded Enrollee File contains enrollee addresses and their rurality indicators, categorized as urban, rural, or highly rural.18 Rurality is defined by the Rural Urban Commuting Area (RUCA) categories developed by the Department of Agriculture and the Health Resources and Services Administration of the US Department of Health and Human Services.19 Urban areas had RUCA codes of 1.0 to 1.1, and highly rural areas had RUCA scores of 10.0. All other areas were classified as rural. Since the proportion of veterans from highly rural areas was small, we included residents from highly rural areas in the rural residents’ group.

Inclusion and Exclusion Criteria

All veterans newly diagnosed with CRC from FY 2016 to 2021 were included. We used the ninth and tenth clinical modification revisions of the International Classification of Diseases (ICD-9-CM and ICD-10-CM) to define CRC diagnosis (Supplemental materials).4,20 To ensure that patients were newly diagnosed with CRC, this study excluded patients with a previous ICD-9-CM code for CRC diagnosis since FY 2003.

Comorbidities were identified using diagnosis and procedure codes from inpatient and outpatient encounters, which were used to calculate the Charlson Comorbidity Index (CCI) at the time of CRC diagnosis using the weighted method described by Schneeweiss et al.21 We defined CRC high-risk conditions and CRC screening tests, including flexible sigmoidoscopy and stool tests, as described in previous studies (Supplemental materials).20

The main outcome was total mortality. The date of death was extracted from the VHA Death Ascertainment File, which contains mortality data from the Master Person Index file in CDW and the Social Security Administration Death Master File. We used the date of death from any cause, as cause of death was not available.

A propensity score (PS) was created to match rural (including highly rural) and urban residents at a ratio of 1:1. Using a standard procedure described in prior publications, multivariable logistic regression used all baseline characteristics to estimate the PS and perform nearest-number matching without replacement.22,23 A caliper of 0.01 maximized the matched cohort size and achieved balance (Supplemental materials). We then examined the balance of baseline characteristics between PS-matched groups.

Analyses

Cox proportional hazards regression analysis estimated the hazard ratio (HR) of death in rural residents compared to urban residents in the PS-matched cohort. The outcome event was the date of death during the study’s follow-up period (defined as period from first CRC diagnosis to death or study end), with censoring at the study’s end date (September 30, 2021). The proportional hazards assumption was assessed by inspecting the Kaplan-Meier curves. Multiple analyses examined the HR of total mortality in the PS-matched cohort, stratified by sex, race, and ethnicity. We also examined the HR of total mortality stratified by duration of follow-up.

Another PS-matching analysis among veterans aged ≤ 45 years was performed using the same techniques described earlier in this article. We performed a Cox proportional hazards regression analysis to compare mortality in PS-matched urban and rural veterans aged ≤ 45 years. The HR of death in all veterans aged ≤ 45 years (before PS-matching) was estimated using Cox proportional hazard regression analysis, adjusting for PS.

Dichotomous variables were compared using X2 tests and continuous variables were compared using t tests. Baseline characteristics with missing values were converted into categorical variables and the proportion of subjects with missing values was equalized between treatment groups after PS-matching. For subgroup analysis, we examined the HR of total mortality in each subgroup using separate Cox proportional hazards regression models similar to the primary analysis but adjusted for PS. Due to multiple comparisons in the subgroup analysis, the findings should be considered exploratory. Statistical tests were 2-tailed, and significance was defined as P < .05. Data management and statistical analyses were conducted from June 2022 to January 2023 using STATA, Version 17. The VA Orlando Healthcare System Institutional Review Board approved the study and waived requirements for informed consent because only deidentified data were used.

Results

After excluding 49 patients (Supplemental materials, available at doi:10.12788/fp.0560), we identified 30,219 veterans with newly diagnosed CRC between FY 2016 to 2021 (Table 1). Of these, 19,422 (64.3%) resided in urban areas and 10,797 (35.7%) resided in rural areas (Table 2). The mean (SD) duration from the first CRC diagnosis to death or study end was 832 (640) days, and the median (IQR) was 723 (246–1330) days. Overall, incident CRC diagnoses were numerically highest in FY 2016 and lowest in FY 2020 (Figure 1). Patients with CRC in rural areas vs urban areas were significantly older (mean, 71.2 years vs 70.8 years, respectively; P < .001), more likely to be male (96.7% vs 95.7%, respectively; P < .001), more likely to be White (83.6% vs 67.8%, respectively; P < .001) and more likely to be non-Hispanic (92.2% vs 87.5%, respectively; P < .001). In terms of general health, rural veterans with CRC were more likely to be overweight or obese (81.5% rural vs 78.5% urban; P < .001) but had fewer mean comorbidities as measured by CCI (5.66 rural vs 5.90 urban; P < .001). A higher proportion of rural veterans with CRC had received stool-based (fecal occult blood test or fecal immunochemical test) CRC screening tests (61.6% rural vs 57.2% urban; P < .001). Fewer rural patients presented with systemic symptoms or signs within 1 year of CRC diagnosis (54.4% rural vs 57.5% urban, P < .001). Among urban patients with CRC, 6959 (35.8%) deaths were observed, compared with 3766 (34.9%) among rural patients (P = .10).

0525FED-AVAHO-CRC_T10525FED-AVAHO-CRC_T20525FED-AVAHO-CRC_F1

There were 21,568 PS-matched veterans: 10,784 in each group. In the PS-matched cohort, baseline characteristics were similar between veterans in urban and rural communities, including age, sex, race/ethnicity, body mass index, and comorbidities. Among rural patients with CRC, 3763 deaths (34.9%) were observed compared with 3702 (34.3%) among urban veterans. There was no significant difference in the HR of mortality between rural and urban CRC residents (HR, 1.01; 95% CI, 0.97-1.06; P = .53) (Figure 2).

0525FED-AVAHO-CRC_F20525FED-AVAHO-CRC_F30525FED-AVAHO-CRC_F4

Among veterans aged ≤ 45 years, 551 were diagnosed with CRC (391 urban and 160 rural). We PS-matched 142 pairs of urban and rural veterans without residual differences in baseline characteristics (eAppendix 1). There was no significant difference in the HR of mortality between rural and urban veterans aged ≤ 45 years (HR, 0.97; 95% CI, 0.57-1.63; P = .90) (Figure 2). Similarly, no difference in mortality was observed adjusting for PS between all rural and urban veterans aged ≤ 45 years (HR, 1.03; 95% CI, 0.67-1.59; P = .88).

0525FED-AVAHO-CRC_eApp1

There was no difference in total mortality between rural and urban veterans in any subgroup except for American Indian or Alaska Native veterans (HR, 2.41; 95% CI, 1.29-4.50; P = .006) (eAppendix 2).

0525FED-AVAHO-CRC_eApp2

Discussion

This study examined characteristics of patients with CRC between urban and rural areas among veterans who were VHA patients. Similar to other studies, rural veterans with CRC were older, more likely to be White, and were obese, but exhibited fewer comorbidities (lower CCI and lower incidence of congestive heart failure, dementia, hemiplegia, kidney diseases, liver diseases and AIDS, but higher incidence of chronic obstructive lung disease).8,16 The incidence of CRC in this study population was lowest in FY 2020, which was reported by the Centers for Disease Control and Prevention and is attributed to COVID-19 pandemic disruption of health services.24 The overall mortality in this study was similar to rates reported in other studies from the VA Central Cancer Registry.4 In the PS-matched cohort, where baseline characteristics were similar between urban and rural patients with CRC, we found no disparities in CRC-specific mortality between veterans in rural and urban areas. Additionally, when analysis was restricted to veterans aged ≤ 45 years, the results remained consistent.

Subgroup analyses showed no significant difference in mortality between rural and urban areas by sex, race or ethnicity, except rural American Indian or Alaska Native veterans who had double the mortality of their urban counterparts (HR, 2.41; 95% CI, 1.29-4.50; P = .006). This finding is difficult to interpret due to the small number of events and the wide CI. While with a Bonferroni correction the adjusted P value was .08, which is not statistically significant, a previous study found that although CRC incidence was lower overall in American Indian or Alaska Native populations compared to non-Hispanic White populations, CRC incidence was higher among American Indian or Alaska Native individuals in some areas such as Alaska and the Northern Plains.25,26 Studies have noted that rural American Indian/Alaska Native populations experience greater poverty, less access to broadband internet, and limited access to care, contributing to poorer cancer outcomes and lower survival.27 Thus, the finding of disparity in mortality between rural and urban American Indian or Alaska Native veterans warrants further study.

Other studies have raised concerns that CRC disproportionately affects adults in rural areas with higher mortality rates.14-16 These disparities arise from sociodemographic factors and modifiable risk factors, including physical activity, dietary patterns, access to cancer screening, and gaps in quality treatment resources.16,28 These factors operate at multiple levels: from individual, local health system, to community and policy.2,27 For example, a South Carolina study (1996–2016) found that residents in rural areas were more likely to be diagnosed with advanced CRC, possibly indicating lower rates of CRC screening in rural areas. They also had higher likelihood of death from CRC.15 However, the study did not include any clinical parameters, such as comorbidities or obesity. A statewide, population-based study in Utah showed that rural men experienced a lower CRC survival in their unadjusted analysis.16 However, the study was small, with only 3948 urban and 712 rural residents. Additionally, there was no difference in total mortality in the whole cohort (HR, 0.96; 95% CI, 0.86-1.07) or in CRC-specific death (HR, 0.93; 95% CI, 0.81-1.08). A nationwide study also showed that CRC mortality rates were 8% higher in nonmetropolitan or rural areas than in the most urbanized areas containing large metropolitan counties.29 However, this study did not include descriptions of clinical confounders, such as comorbidities, making it difficult to ascertain whether the difference in CRC mortality was due to rurality or differences in baseline risk characteristics.

In this study, the lack of CRC-specific mortality disparities may be attributed to the structures and practices of VHA health care. Recent studies have noted that mortality of several chronic medical conditions treated at the VHA was lower than at non-VHA hospitals.30,31 One study that measured the quality of nonmetastatic CRC care based on National Comprehensive Cancer Network guidelines showed that > 72% of VHA patients received guideline-concordant care for each diagnostic and therapeutic measure, except for follow-up colonoscopy timing, which appear to be similar or superior to that of the private sector.30,32,33 Some of the VA initiative for CRC screening may bypass the urban-rurality divide such as the mailed fecal immunochemical test program for CRC. This program was implemented at the onset of the COVID-19 pandemic to avoid disruptions of medical care.34 Rural patients are more likely to undergo fecal immunochemical testing when compared to urban patients in this data. Beyond clinical care, the VHA uses processes to tackle social determinants of health such as housing, food security, and transportation, promoting equal access to health care, and promoting cultural competency among HCPs.35-37

The results suggest that solutions to CRC disparities between rural and urban areas need to consider known barriers to rural health care, including transportation, diminished rural health care workforce, and other social determinants of health.9,10,27,38 VHA makes considerable efforts to provide equitable care to all enrolled veterans, including specific programs for rural veterans, including ongoing outreach.39 This study demonstrated lack of disparity in CRC-specific mortality in veterans receiving VHA care, highlighting the importance of these efforts.

Strengths and Limitations

This study used the VHA cohort to compare patient characteristics and mortality between patients with CRC residing in rural and urban areas. The study provides nationwide perspectives on CRC across the geographical spectrum and used a longitudinal cohort with prolonged follow-up to account for comorbidities.

However, the study compared a cohort of rural and urban veterans enrolled in the VHA; hence, the results may not reflect CRC outcomes in veterans without access to VHA care. Rurality has been independently associated with decreased likelihood of meeting CRC screening guidelines among veterans and military service members.38 This study lacked sufficient information to compare CRC staging or treatment modalities among veterans. Although the data cannot identify CRC stage, the proportions of patients with metastatic CRC at diagnosis and CRC location were similar between groups. The study did not have information on their care outside of VHA setting.

This study could not ascertain whether disparities existed in CRC treatment modality since rural residence may result in referral to community-based CRC care, which did not appear in the data. To address these limitations, we used death from any cause as the primary outcome, since death is a hard outcome and is not subject to ascertainment bias. The relatively short follow-up time is another limitation, though subgroup analysis by follow-up did not show significant differences. Despite PS matching, residual unmeasured confounding may exist between urban and rural groups. The predominantly White, male VHA population with high CCI may limit the generalizability of the results.

Conclusions

Rural VHA enrollees had similar survival rates after CRC diagnosis compared to their urban counterparts in a PS-matched analysis. The VHA models of care—including mailed CRC screening tools, several socioeconomic determinants of health (housing, food security, and transportation), and promoting equal access to health care, as well as cultural competency among HCPs—HCPs—may help alleviate disparities across the rural-urban spectrum. The VHA should continue efforts to enroll veterans and provide comprehensive coordinated care in community partnerships.

Colorectal cancer (CRC) is the second-leading cause of cancer-related deaths in the United States, with an estimated 52,550 deaths in 2023.1 However, the disease burden varies among different segments of the population.2 While both CRC incidence and mortality have been decreasing due to screening and advances in treatment, there are disparities in incidence and mortality across the sociodemographic spectrum including race, ethnicity, education, and income.1-4 While CRC incidence is decreasing for older adults, it is increasing among those aged < 55 years.5 The incidence of CRC in adults aged 40 to 54 years has increased by 0.5% to 1.3% annually since the mid-1990s.6 The US Preventive Services Task Force now recommends starting CRC screening at age 45 years for asymptomatic adults with average risk.7

Disparities also exist across geographical boundaries and living environment. Rural Americans faces additional challenges in health and lifestyle that can affect CRC outcomes. Compared to their urban counterparts, rural residents are more likely to be older, have lower levels of education, higher levels of poverty, lack health insurance, and less access to health care practitioners (HCPs).8-10 Geographic proximity, defined as travel time or physical distance to a health facility, has been recognized as a predictor of inferior outcomes.11 These aspects of rural living may pose challenges for accessing care for CRC screening and treatment.11-13 National and local studies have shown disparities in CRC screening rates, incidence, and mortality between rural and urban populations.14-16

It is unclear whether rural/urban disparities persist under the Veterans Health Administration (VHA) health care delivery model. This study examined differences in baseline characteristics and mortality between rural and urban veterans newly diagnosed with CRC. We also focused on a subpopulation aged ≤ 45 years.

Methods

This study extracted national data from the US Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW) hosted in the VA Informatics and Computing Infrastructure (VINCI) environment. VINCI is an initiative to improve access to VA data and facilitate the analysis of these data while ensuring veterans’ privacy and data security.17 CDW is the VHA business intelligence information repository, which extracts data from clinical and nonclinical sources following prescribed and validated protocols. Data extracted included demographics, diagnosis, and procedure codes for both inpatient and outpatient encounters, vital signs, and vital status. This study used data previously extracted from a national cohort of veterans that encompassed all patients who received a group of commonly prescribed medications, such as statins, proton pump inhibitors, histamine-2 blockers, acetaminophen-containing products, and hydrocortisone-containing skin applications. This cohort encompassed 8,648,754 veterans, from whom 2,460,727 had encounters during fiscal years (FY) 2016 to 2021 (study period). The cohort was used to ensure that subjects were VHA patients, allowing them to adequately capture their clinical profiles.

Patients were identified as rural or urban based on their residence address at the date of their first diagnosis of CRC. The Geospatial Service Support Center (GSSC) aggregates and updates veterans’ residence address records for all enrolled veterans from the National Change of Address database. The data contain 1 record per enrollee. GSSC Geocoded Enrollee File contains enrollee addresses and their rurality indicators, categorized as urban, rural, or highly rural.18 Rurality is defined by the Rural Urban Commuting Area (RUCA) categories developed by the Department of Agriculture and the Health Resources and Services Administration of the US Department of Health and Human Services.19 Urban areas had RUCA codes of 1.0 to 1.1, and highly rural areas had RUCA scores of 10.0. All other areas were classified as rural. Since the proportion of veterans from highly rural areas was small, we included residents from highly rural areas in the rural residents’ group.

Inclusion and Exclusion Criteria

All veterans newly diagnosed with CRC from FY 2016 to 2021 were included. We used the ninth and tenth clinical modification revisions of the International Classification of Diseases (ICD-9-CM and ICD-10-CM) to define CRC diagnosis (Supplemental materials).4,20 To ensure that patients were newly diagnosed with CRC, this study excluded patients with a previous ICD-9-CM code for CRC diagnosis since FY 2003.

Comorbidities were identified using diagnosis and procedure codes from inpatient and outpatient encounters, which were used to calculate the Charlson Comorbidity Index (CCI) at the time of CRC diagnosis using the weighted method described by Schneeweiss et al.21 We defined CRC high-risk conditions and CRC screening tests, including flexible sigmoidoscopy and stool tests, as described in previous studies (Supplemental materials).20

The main outcome was total mortality. The date of death was extracted from the VHA Death Ascertainment File, which contains mortality data from the Master Person Index file in CDW and the Social Security Administration Death Master File. We used the date of death from any cause, as cause of death was not available.

A propensity score (PS) was created to match rural (including highly rural) and urban residents at a ratio of 1:1. Using a standard procedure described in prior publications, multivariable logistic regression used all baseline characteristics to estimate the PS and perform nearest-number matching without replacement.22,23 A caliper of 0.01 maximized the matched cohort size and achieved balance (Supplemental materials). We then examined the balance of baseline characteristics between PS-matched groups.

Analyses

Cox proportional hazards regression analysis estimated the hazard ratio (HR) of death in rural residents compared to urban residents in the PS-matched cohort. The outcome event was the date of death during the study’s follow-up period (defined as period from first CRC diagnosis to death or study end), with censoring at the study’s end date (September 30, 2021). The proportional hazards assumption was assessed by inspecting the Kaplan-Meier curves. Multiple analyses examined the HR of total mortality in the PS-matched cohort, stratified by sex, race, and ethnicity. We also examined the HR of total mortality stratified by duration of follow-up.

Another PS-matching analysis among veterans aged ≤ 45 years was performed using the same techniques described earlier in this article. We performed a Cox proportional hazards regression analysis to compare mortality in PS-matched urban and rural veterans aged ≤ 45 years. The HR of death in all veterans aged ≤ 45 years (before PS-matching) was estimated using Cox proportional hazard regression analysis, adjusting for PS.

Dichotomous variables were compared using X2 tests and continuous variables were compared using t tests. Baseline characteristics with missing values were converted into categorical variables and the proportion of subjects with missing values was equalized between treatment groups after PS-matching. For subgroup analysis, we examined the HR of total mortality in each subgroup using separate Cox proportional hazards regression models similar to the primary analysis but adjusted for PS. Due to multiple comparisons in the subgroup analysis, the findings should be considered exploratory. Statistical tests were 2-tailed, and significance was defined as P < .05. Data management and statistical analyses were conducted from June 2022 to January 2023 using STATA, Version 17. The VA Orlando Healthcare System Institutional Review Board approved the study and waived requirements for informed consent because only deidentified data were used.

Results

After excluding 49 patients (Supplemental materials, available at doi:10.12788/fp.0560), we identified 30,219 veterans with newly diagnosed CRC between FY 2016 to 2021 (Table 1). Of these, 19,422 (64.3%) resided in urban areas and 10,797 (35.7%) resided in rural areas (Table 2). The mean (SD) duration from the first CRC diagnosis to death or study end was 832 (640) days, and the median (IQR) was 723 (246–1330) days. Overall, incident CRC diagnoses were numerically highest in FY 2016 and lowest in FY 2020 (Figure 1). Patients with CRC in rural areas vs urban areas were significantly older (mean, 71.2 years vs 70.8 years, respectively; P < .001), more likely to be male (96.7% vs 95.7%, respectively; P < .001), more likely to be White (83.6% vs 67.8%, respectively; P < .001) and more likely to be non-Hispanic (92.2% vs 87.5%, respectively; P < .001). In terms of general health, rural veterans with CRC were more likely to be overweight or obese (81.5% rural vs 78.5% urban; P < .001) but had fewer mean comorbidities as measured by CCI (5.66 rural vs 5.90 urban; P < .001). A higher proportion of rural veterans with CRC had received stool-based (fecal occult blood test or fecal immunochemical test) CRC screening tests (61.6% rural vs 57.2% urban; P < .001). Fewer rural patients presented with systemic symptoms or signs within 1 year of CRC diagnosis (54.4% rural vs 57.5% urban, P < .001). Among urban patients with CRC, 6959 (35.8%) deaths were observed, compared with 3766 (34.9%) among rural patients (P = .10).

0525FED-AVAHO-CRC_T10525FED-AVAHO-CRC_T20525FED-AVAHO-CRC_F1

There were 21,568 PS-matched veterans: 10,784 in each group. In the PS-matched cohort, baseline characteristics were similar between veterans in urban and rural communities, including age, sex, race/ethnicity, body mass index, and comorbidities. Among rural patients with CRC, 3763 deaths (34.9%) were observed compared with 3702 (34.3%) among urban veterans. There was no significant difference in the HR of mortality between rural and urban CRC residents (HR, 1.01; 95% CI, 0.97-1.06; P = .53) (Figure 2).

0525FED-AVAHO-CRC_F20525FED-AVAHO-CRC_F30525FED-AVAHO-CRC_F4

Among veterans aged ≤ 45 years, 551 were diagnosed with CRC (391 urban and 160 rural). We PS-matched 142 pairs of urban and rural veterans without residual differences in baseline characteristics (eAppendix 1). There was no significant difference in the HR of mortality between rural and urban veterans aged ≤ 45 years (HR, 0.97; 95% CI, 0.57-1.63; P = .90) (Figure 2). Similarly, no difference in mortality was observed adjusting for PS between all rural and urban veterans aged ≤ 45 years (HR, 1.03; 95% CI, 0.67-1.59; P = .88).

0525FED-AVAHO-CRC_eApp1

There was no difference in total mortality between rural and urban veterans in any subgroup except for American Indian or Alaska Native veterans (HR, 2.41; 95% CI, 1.29-4.50; P = .006) (eAppendix 2).

0525FED-AVAHO-CRC_eApp2

Discussion

This study examined characteristics of patients with CRC between urban and rural areas among veterans who were VHA patients. Similar to other studies, rural veterans with CRC were older, more likely to be White, and were obese, but exhibited fewer comorbidities (lower CCI and lower incidence of congestive heart failure, dementia, hemiplegia, kidney diseases, liver diseases and AIDS, but higher incidence of chronic obstructive lung disease).8,16 The incidence of CRC in this study population was lowest in FY 2020, which was reported by the Centers for Disease Control and Prevention and is attributed to COVID-19 pandemic disruption of health services.24 The overall mortality in this study was similar to rates reported in other studies from the VA Central Cancer Registry.4 In the PS-matched cohort, where baseline characteristics were similar between urban and rural patients with CRC, we found no disparities in CRC-specific mortality between veterans in rural and urban areas. Additionally, when analysis was restricted to veterans aged ≤ 45 years, the results remained consistent.

Subgroup analyses showed no significant difference in mortality between rural and urban areas by sex, race or ethnicity, except rural American Indian or Alaska Native veterans who had double the mortality of their urban counterparts (HR, 2.41; 95% CI, 1.29-4.50; P = .006). This finding is difficult to interpret due to the small number of events and the wide CI. While with a Bonferroni correction the adjusted P value was .08, which is not statistically significant, a previous study found that although CRC incidence was lower overall in American Indian or Alaska Native populations compared to non-Hispanic White populations, CRC incidence was higher among American Indian or Alaska Native individuals in some areas such as Alaska and the Northern Plains.25,26 Studies have noted that rural American Indian/Alaska Native populations experience greater poverty, less access to broadband internet, and limited access to care, contributing to poorer cancer outcomes and lower survival.27 Thus, the finding of disparity in mortality between rural and urban American Indian or Alaska Native veterans warrants further study.

Other studies have raised concerns that CRC disproportionately affects adults in rural areas with higher mortality rates.14-16 These disparities arise from sociodemographic factors and modifiable risk factors, including physical activity, dietary patterns, access to cancer screening, and gaps in quality treatment resources.16,28 These factors operate at multiple levels: from individual, local health system, to community and policy.2,27 For example, a South Carolina study (1996–2016) found that residents in rural areas were more likely to be diagnosed with advanced CRC, possibly indicating lower rates of CRC screening in rural areas. They also had higher likelihood of death from CRC.15 However, the study did not include any clinical parameters, such as comorbidities or obesity. A statewide, population-based study in Utah showed that rural men experienced a lower CRC survival in their unadjusted analysis.16 However, the study was small, with only 3948 urban and 712 rural residents. Additionally, there was no difference in total mortality in the whole cohort (HR, 0.96; 95% CI, 0.86-1.07) or in CRC-specific death (HR, 0.93; 95% CI, 0.81-1.08). A nationwide study also showed that CRC mortality rates were 8% higher in nonmetropolitan or rural areas than in the most urbanized areas containing large metropolitan counties.29 However, this study did not include descriptions of clinical confounders, such as comorbidities, making it difficult to ascertain whether the difference in CRC mortality was due to rurality or differences in baseline risk characteristics.

In this study, the lack of CRC-specific mortality disparities may be attributed to the structures and practices of VHA health care. Recent studies have noted that mortality of several chronic medical conditions treated at the VHA was lower than at non-VHA hospitals.30,31 One study that measured the quality of nonmetastatic CRC care based on National Comprehensive Cancer Network guidelines showed that > 72% of VHA patients received guideline-concordant care for each diagnostic and therapeutic measure, except for follow-up colonoscopy timing, which appear to be similar or superior to that of the private sector.30,32,33 Some of the VA initiative for CRC screening may bypass the urban-rurality divide such as the mailed fecal immunochemical test program for CRC. This program was implemented at the onset of the COVID-19 pandemic to avoid disruptions of medical care.34 Rural patients are more likely to undergo fecal immunochemical testing when compared to urban patients in this data. Beyond clinical care, the VHA uses processes to tackle social determinants of health such as housing, food security, and transportation, promoting equal access to health care, and promoting cultural competency among HCPs.35-37

The results suggest that solutions to CRC disparities between rural and urban areas need to consider known barriers to rural health care, including transportation, diminished rural health care workforce, and other social determinants of health.9,10,27,38 VHA makes considerable efforts to provide equitable care to all enrolled veterans, including specific programs for rural veterans, including ongoing outreach.39 This study demonstrated lack of disparity in CRC-specific mortality in veterans receiving VHA care, highlighting the importance of these efforts.

Strengths and Limitations

This study used the VHA cohort to compare patient characteristics and mortality between patients with CRC residing in rural and urban areas. The study provides nationwide perspectives on CRC across the geographical spectrum and used a longitudinal cohort with prolonged follow-up to account for comorbidities.

However, the study compared a cohort of rural and urban veterans enrolled in the VHA; hence, the results may not reflect CRC outcomes in veterans without access to VHA care. Rurality has been independently associated with decreased likelihood of meeting CRC screening guidelines among veterans and military service members.38 This study lacked sufficient information to compare CRC staging or treatment modalities among veterans. Although the data cannot identify CRC stage, the proportions of patients with metastatic CRC at diagnosis and CRC location were similar between groups. The study did not have information on their care outside of VHA setting.

This study could not ascertain whether disparities existed in CRC treatment modality since rural residence may result in referral to community-based CRC care, which did not appear in the data. To address these limitations, we used death from any cause as the primary outcome, since death is a hard outcome and is not subject to ascertainment bias. The relatively short follow-up time is another limitation, though subgroup analysis by follow-up did not show significant differences. Despite PS matching, residual unmeasured confounding may exist between urban and rural groups. The predominantly White, male VHA population with high CCI may limit the generalizability of the results.

Conclusions

Rural VHA enrollees had similar survival rates after CRC diagnosis compared to their urban counterparts in a PS-matched analysis. The VHA models of care—including mailed CRC screening tools, several socioeconomic determinants of health (housing, food security, and transportation), and promoting equal access to health care, as well as cultural competency among HCPs—HCPs—may help alleviate disparities across the rural-urban spectrum. The VHA should continue efforts to enroll veterans and provide comprehensive coordinated care in community partnerships.

References
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  4. Zullig LL, Smith VA, Jackson GL, et al. Colorectal cancer statistics from the Veterans Affairs central cancer registry. Clin Colorectal Cancer. 2016;15(4):e199-e204. doi:10.1016/j.clcc.2016.04.005
  5. Lin JS, Perdue LA, Henrikson NB, Bean SI, Blasi PR. Screening for Colorectal Cancer: An Evidence Update for the US Preventive Services Task Force. 2021. U.S. Preventive Services Task Force Evidence Syntheses, formerly Systematic Evidence Reviews:Chapter 1. Agency for Healthcare Research and Quality (US); 2021. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK570917/
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  9. Cauwels J. The many barriers to high-quality rural health care. 2022;(9):1-32. NEJM Catal Innov Care Deliv. Accessed April 24, 2025. https://catalyst.nejm.org/doi/pdf/10.1056/CAT.22.0254
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  11. Aboagye JK, Kaiser HE, Hayanga AJ. Rural-urban differences in access to specialist providers of colorectal cancer care in the United States: a physician workforce issue. JAMA Surg. 2014;149(6):537-543. doi:10.1001/jamasurg.2013.5062
  12. Lyckholm LJ, Hackney MH, Smith TJ. Ethics of rural health care. Crit Rev Oncol Hematol. 2001;40(2):131-138. doi:10.1016/s1040-8428(01)00139-1
  13. Krieger N, Williams DR, Moss NE. Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health. 1997;18:341-378. doi:10.1146/annurev.publhealth.18.1.341
  14. Singh GK, Jemal A. Socioeconomic and racial/ethnic disparities in cancer mortality, incidence, and survival in the United States, 1950-2014: over six decades of changing patterns and widening inequalities. J Environ Public Health. 2017;2017:2819372. doi:10.1155/2017/2819372
  15. Adams SA, Zahnd WE, Ranganathan R, et al. Rural and racial disparities in colorectal cancer incidence and mortality in South Carolina, 1996 - 2016. J Rural Health. 2022;38(1):34-39. doi:10.1111/jrh.12580
  16. Rogers CR, Blackburn BE, Huntington M, et al. Rural- urban disparities in colorectal cancer survival and risk among men in Utah: a statewide population-based study. Cancer Causes Control. 2020;31(3):241-253. doi:10.1007/s10552-020-01268-2
  17. US Department of Veterans Affairs. VA Informatics and Computing Infrastructure (VINCI), VA HSR RES 13-457. https://vincicentral.vinci.med.va.gov [Source not verified]
  18. US Department of Veterans Affairs Information Resource Center. VIReC Research User Guide: PSSG Geocoded Enrollee Files, 2015 Edition. US Department of Veterans Affairs, Health Services Research & Development Service, Information Resource Center; May. 2016. [source not verified]
  19. Goldsmith HF, Puskin DS, Stiles DJ. Improving the operational definition of “rural areas” for federal programs. US Department of Health and Human Services; 1993. Accessed February 27, 2025. https://www.ruralhealthinfo.org/pdf/improving-the-operational-definition-of-rural-areas.pdf
  20. Adams MA, Kerr EA, Dominitz JA, et al. Development and validation of a new ICD-10-based screening colonoscopy overuse measure in a large integrated healthcare system: a retrospective observational study. BMJ Qual Saf. 2023;32(7):414-424. doi:10.1136/bmjqs-2021-014236
  21. Schneeweiss S, Wang PS, Avorn J, Glynn RJ. Improved comorbidity adjustment for predicting mortality in Medicare populations. Health Serv Res. 2003;38(4):1103-1120. doi:10.1111/1475-6773.00165
  22. Becker S, Ichino A. Estimation of average treatment effects based on propensity scores. The Stata Journal. 2002;2(4):358-377.
  23. Leuven E, Sianesi B. PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. Statistical software components. Revised February 1, 2018. Accessed February 27, 2025. https://ideas.repec.org/c/boc/bocode/s432001.html.
  24. US Cancer Statistics Working Group. US cancer statistics data visualizations tool. Centers for Disease Control and Prevention. June 2024. Accessed February 27, 2025. https://www.cdc.gov/cancer/dataviz
  25. Cao J, Zhang S. Multiple Comparison Procedures. JAMA. 2014;312(5):543-544. doi:10.1001/jama.2014.9440
  26. Gopalani SV, Janitz AE, Martinez SA, et al. Trends in cancer incidence among American Indians and Alaska Natives and Non-Hispanic Whites in the United States, 1999-2015. Epidemiology. 2020;31(2):205-213. doi:10.1097/EDE.0000000000001140
  27. Zahnd WE, Murphy C, Knoll M, et al. The intersection of rural residence and minority race/ethnicity in cancer disparities in the United States. Int J Environ Res Public Health. 2021;18(4). doi:10.3390/ijerph18041384
  28. Blake KD, Moss JL, Gaysynsky A, Srinivasan S, Croyle RT. Making the case for investment in rural cancer control: an analysis of rural cancer incidence, mortality, and funding trends. Cancer Epidemiol Biomarkers Prev. 2017;26(7):992-997. doi:10.1158/1055-9965.EPI-17-0092
  29. Singh GK, Williams SD, Siahpush M, Mulhollen A. Socioeconomic, rural-urban, and racial inequalities in US cancer mortality: part i-all cancers and lung cancer and part iicolorectal, prostate, breast, and cervical cancers. J Cancer Epidemiol. 2011;2011:107497. doi:10.1155/2011/107497
  30. Jackson GL, Melton LD, Abbott DH, et al. Quality of nonmetastatic colorectal cancer care in the Department of Veterans Affairs. J Clin Oncol. 2010;28(19):3176-3181. doi:10.1200/JCO.2009.26.7948
  31. Yoon J, Phibbs CS, Ong MK, et al. Outcomes of veterans treated in Veterans Affairs hospitals vs non-Veterans Affairs hospitals. JAMA Netw Open. 2023;6(12):e2345898. doi:10.1001/jamanetworkopen.2023.45898
  32. Malin JL, Schneider EC, Epstein AM, Adams J, Emanuel EJ, Kahn KL. Results of the National Initiative for Cancer Care Quality: how can we improve the quality of cancer care in the United States? J Clin Oncol. 2006;24(4):626-634. doi:10.1200/JCO.2005.03.3365
  33. Levin B, Lieberman DA, McFarland B, et al. Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. Gastroenterology. 2008;134(5):1570-1595. doi:10.1053/j.gastro.2008.02.002
  34. Deeds SA, Moore CB, Gunnink EJ, et al. Implementation of a mailed faecal immunochemical test programme for colorectal cancer screening among Veterans. BMJ Open Qual. 2022;11(4). doi:10.1136/bmjoq-2022-001927
  35. Yehia BR, Greenstone CL, Hosenfeld CB, Matthews KL, Zephyrin LC. The role of VA community care in addressing health and health care disparities. Med Care. 2017;55(Suppl 9 suppl 2):S4-S5. doi:10.1097/MLR.0000000000000768
  36. Wright BN, MacDermid Wadsworth S, Wellnitz A, Eicher- Miller HA. Reaching rural veterans: a new mechanism to connect rural, low-income US Veterans with resources and improve food security. J Public Health (Oxf). 2019;41(4):714-723. doi:10.1093/pubmed/fdy203
  37. Nelson RE, Byrne TH, Suo Y, et al. Association of temporary financial assistance with housing stability among US veterans in the supportive services for veteran families program. JAMA Netw Open. 2021;4(2):e2037047. doi:10.1001/jamanetworkopen.2020.37047
  38. McDaniel JT, Albright D, Lee HY, et al. Rural–urban disparities in colorectal cancer screening among military service members and Veterans. J Mil Veteran Fam Health. 2019;5(1):40-48. doi:10.3138/jmvfh.2018-0013
  39. US Department of Veterans Affairs, Office of Rural Health. The rural veteran outreach toolkit. Updated February 12, 2025. Accessed February 18, 2025. https://www.ruralhealth.va.gov/partners/toolkit.asp
References
  1. Siegel RL, Wagle NS, Cercek A, Smith RA, Jemal A. Colorectal cancer statistics, 2023. CA Cancer J Clin. 2023;73(3):233-254. doi:10.3322/caac.21772
  2. Carethers JM, Doubeni CA. Causes of socioeconomic disparities in colorectal cancer and intervention framework and strategies. Gastroenterology. 2020;158(2):354-367. doi:10.1053/j.gastro.2019.10.029
  3. Murphy G, Devesa SS, Cross AJ, Inskip PD, McGlynn KA, Cook MB. Sex disparities in colorectal cancer incidence by anatomic subsite, race and age. Int J Cancer. 2011;128(7):1668-75. doi:10.1002/ijc.25481
  4. Zullig LL, Smith VA, Jackson GL, et al. Colorectal cancer statistics from the Veterans Affairs central cancer registry. Clin Colorectal Cancer. 2016;15(4):e199-e204. doi:10.1016/j.clcc.2016.04.005
  5. Lin JS, Perdue LA, Henrikson NB, Bean SI, Blasi PR. Screening for Colorectal Cancer: An Evidence Update for the US Preventive Services Task Force. 2021. U.S. Preventive Services Task Force Evidence Syntheses, formerly Systematic Evidence Reviews:Chapter 1. Agency for Healthcare Research and Quality (US); 2021. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK570917/
  6. Siegel RL, Fedewa SA, Anderson WF, et al. Colorectal cancer incidence patterns in the United States, 1974-2013. J Natl Cancer Inst. 2017;109(8). doi:10.1093/jnci/djw322
  7. Davidson KW, Barry MJ, Mangione CM, et al. Screening for colorectal cancer: US Preventive Services Task Force recommendation statement. JAMA. 2021;325(19):1965-1977. doi:10.1001/jama.2021.6238
  8. Hines R, Markossian T, Johnson A, Dong F, Bayakly R. Geographic residency status and census tract socioeconomic status as determinants of colorectal cancer outcomes. Am J Public Health. 2014;104(3):e63-e71. doi:10.2105/AJPH.2013.301572
  9. Cauwels J. The many barriers to high-quality rural health care. 2022;(9):1-32. NEJM Catal Innov Care Deliv. Accessed April 24, 2025. https://catalyst.nejm.org/doi/pdf/10.1056/CAT.22.0254
  10. Gong G, Phillips SG, Hudson C, Curti D, Philips BU. Higher US rural mortality rates linked to socioeconomic status, physician shortages, and lack of health insurance. Health Aff (Millwood);38(12):2003-2010. doi:10.1377/hlthaff.2019.00722
  11. Aboagye JK, Kaiser HE, Hayanga AJ. Rural-urban differences in access to specialist providers of colorectal cancer care in the United States: a physician workforce issue. JAMA Surg. 2014;149(6):537-543. doi:10.1001/jamasurg.2013.5062
  12. Lyckholm LJ, Hackney MH, Smith TJ. Ethics of rural health care. Crit Rev Oncol Hematol. 2001;40(2):131-138. doi:10.1016/s1040-8428(01)00139-1
  13. Krieger N, Williams DR, Moss NE. Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health. 1997;18:341-378. doi:10.1146/annurev.publhealth.18.1.341
  14. Singh GK, Jemal A. Socioeconomic and racial/ethnic disparities in cancer mortality, incidence, and survival in the United States, 1950-2014: over six decades of changing patterns and widening inequalities. J Environ Public Health. 2017;2017:2819372. doi:10.1155/2017/2819372
  15. Adams SA, Zahnd WE, Ranganathan R, et al. Rural and racial disparities in colorectal cancer incidence and mortality in South Carolina, 1996 - 2016. J Rural Health. 2022;38(1):34-39. doi:10.1111/jrh.12580
  16. Rogers CR, Blackburn BE, Huntington M, et al. Rural- urban disparities in colorectal cancer survival and risk among men in Utah: a statewide population-based study. Cancer Causes Control. 2020;31(3):241-253. doi:10.1007/s10552-020-01268-2
  17. US Department of Veterans Affairs. VA Informatics and Computing Infrastructure (VINCI), VA HSR RES 13-457. https://vincicentral.vinci.med.va.gov [Source not verified]
  18. US Department of Veterans Affairs Information Resource Center. VIReC Research User Guide: PSSG Geocoded Enrollee Files, 2015 Edition. US Department of Veterans Affairs, Health Services Research & Development Service, Information Resource Center; May. 2016. [source not verified]
  19. Goldsmith HF, Puskin DS, Stiles DJ. Improving the operational definition of “rural areas” for federal programs. US Department of Health and Human Services; 1993. Accessed February 27, 2025. https://www.ruralhealthinfo.org/pdf/improving-the-operational-definition-of-rural-areas.pdf
  20. Adams MA, Kerr EA, Dominitz JA, et al. Development and validation of a new ICD-10-based screening colonoscopy overuse measure in a large integrated healthcare system: a retrospective observational study. BMJ Qual Saf. 2023;32(7):414-424. doi:10.1136/bmjqs-2021-014236
  21. Schneeweiss S, Wang PS, Avorn J, Glynn RJ. Improved comorbidity adjustment for predicting mortality in Medicare populations. Health Serv Res. 2003;38(4):1103-1120. doi:10.1111/1475-6773.00165
  22. Becker S, Ichino A. Estimation of average treatment effects based on propensity scores. The Stata Journal. 2002;2(4):358-377.
  23. Leuven E, Sianesi B. PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. Statistical software components. Revised February 1, 2018. Accessed February 27, 2025. https://ideas.repec.org/c/boc/bocode/s432001.html.
  24. US Cancer Statistics Working Group. US cancer statistics data visualizations tool. Centers for Disease Control and Prevention. June 2024. Accessed February 27, 2025. https://www.cdc.gov/cancer/dataviz
  25. Cao J, Zhang S. Multiple Comparison Procedures. JAMA. 2014;312(5):543-544. doi:10.1001/jama.2014.9440
  26. Gopalani SV, Janitz AE, Martinez SA, et al. Trends in cancer incidence among American Indians and Alaska Natives and Non-Hispanic Whites in the United States, 1999-2015. Epidemiology. 2020;31(2):205-213. doi:10.1097/EDE.0000000000001140
  27. Zahnd WE, Murphy C, Knoll M, et al. The intersection of rural residence and minority race/ethnicity in cancer disparities in the United States. Int J Environ Res Public Health. 2021;18(4). doi:10.3390/ijerph18041384
  28. Blake KD, Moss JL, Gaysynsky A, Srinivasan S, Croyle RT. Making the case for investment in rural cancer control: an analysis of rural cancer incidence, mortality, and funding trends. Cancer Epidemiol Biomarkers Prev. 2017;26(7):992-997. doi:10.1158/1055-9965.EPI-17-0092
  29. Singh GK, Williams SD, Siahpush M, Mulhollen A. Socioeconomic, rural-urban, and racial inequalities in US cancer mortality: part i-all cancers and lung cancer and part iicolorectal, prostate, breast, and cervical cancers. J Cancer Epidemiol. 2011;2011:107497. doi:10.1155/2011/107497
  30. Jackson GL, Melton LD, Abbott DH, et al. Quality of nonmetastatic colorectal cancer care in the Department of Veterans Affairs. J Clin Oncol. 2010;28(19):3176-3181. doi:10.1200/JCO.2009.26.7948
  31. Yoon J, Phibbs CS, Ong MK, et al. Outcomes of veterans treated in Veterans Affairs hospitals vs non-Veterans Affairs hospitals. JAMA Netw Open. 2023;6(12):e2345898. doi:10.1001/jamanetworkopen.2023.45898
  32. Malin JL, Schneider EC, Epstein AM, Adams J, Emanuel EJ, Kahn KL. Results of the National Initiative for Cancer Care Quality: how can we improve the quality of cancer care in the United States? J Clin Oncol. 2006;24(4):626-634. doi:10.1200/JCO.2005.03.3365
  33. Levin B, Lieberman DA, McFarland B, et al. Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. Gastroenterology. 2008;134(5):1570-1595. doi:10.1053/j.gastro.2008.02.002
  34. Deeds SA, Moore CB, Gunnink EJ, et al. Implementation of a mailed faecal immunochemical test programme for colorectal cancer screening among Veterans. BMJ Open Qual. 2022;11(4). doi:10.1136/bmjoq-2022-001927
  35. Yehia BR, Greenstone CL, Hosenfeld CB, Matthews KL, Zephyrin LC. The role of VA community care in addressing health and health care disparities. Med Care. 2017;55(Suppl 9 suppl 2):S4-S5. doi:10.1097/MLR.0000000000000768
  36. Wright BN, MacDermid Wadsworth S, Wellnitz A, Eicher- Miller HA. Reaching rural veterans: a new mechanism to connect rural, low-income US Veterans with resources and improve food security. J Public Health (Oxf). 2019;41(4):714-723. doi:10.1093/pubmed/fdy203
  37. Nelson RE, Byrne TH, Suo Y, et al. Association of temporary financial assistance with housing stability among US veterans in the supportive services for veteran families program. JAMA Netw Open. 2021;4(2):e2037047. doi:10.1001/jamanetworkopen.2020.37047
  38. McDaniel JT, Albright D, Lee HY, et al. Rural–urban disparities in colorectal cancer screening among military service members and Veterans. J Mil Veteran Fam Health. 2019;5(1):40-48. doi:10.3138/jmvfh.2018-0013
  39. US Department of Veterans Affairs, Office of Rural Health. The rural veteran outreach toolkit. Updated February 12, 2025. Accessed February 18, 2025. https://www.ruralhealth.va.gov/partners/toolkit.asp
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ATHENS, Greece — At the 11th World Congress of Melanoma and 21st EADO Congress 2025, experts presented divergent perspectives on the merits of population-wide skin cancer screening programs vs more targeted approaches. The debate highlighted concerns about healthcare resource allocation, overdiagnosis, and the true impact of mass skin cancer screening on mortality.

Arguing against widespread screening, particularly in low-to-medium incidence countries like Spain, was Susana Puig, MD, the head of Dermatology at Hospital Clínic de Barcelona, University of Barcelona, and a dermatologist at Barnaclínic+, Barcelona, Spain.

“It’s not efficient. We visit too many healthy individuals to detect melanoma,” she said. “We need to focus on treating patients, not checking healthy people without any risk.”

Championing for population-wide screening was Peter Mohr, MD, a dermatologist at the Clinic of Dermatology in Elbe Klinikum Buxtehude, Buxtehude, Germany, who noted a disproportionate focus on treatment rather than prevention. “The ultimate goal of screening,” he said, “is to prevent advanced disease and reduce melanoma-specific mortality.”

 

Avoid Population-Based Screening

Presenting data from Germany, Puig noted that population-based screening starting at any age requires examining more than 600 people and performing over 24 excisions to detect one melanoma. When setting screening to start at the age of 35 years, the number of people needed to screen to detect one melanoma decreased slightly to 559. 

These findings highlight that population-based screening will include many people who don’t need it and can increase the potential for overdiagnosis, she argued.

Studies and guidelines from the United States align with Puig’s concern about broad-based screening likely leading to overdiagnosis. “The incidence of melanoma has risen sixfold in the past 40 years in the United States, while mortality has remained largely flat, an epidemiological signature consistent with overdiagnosis,” according to Adewole Adamson, MD, an assistant professor of internal medicine, in the Division of Dermatology at Dell Medical School at The University of Texas at Austin, Texas, who published findings to this effect in 2022.

“We cannot saturate the system with healthy people,” Puig said. Instead, “we need to use strategies to identify high-risk patients.” She proposed being more selective about who to screen by identifying those at higher risk of developing melanoma.

Identifying risk factors, such as the presence of atypical nevi and a personal or family history of melanoma, can help hone who is screened, she explained. Patients with a personal history of melanoma, in particular, face a higher risk of developing subsequent melanomas. Data show that patients with two or more primary melanomas had almost three times the risk of developing a subsequent one than those with one prior melanoma — 25.7% vs 8.6%. Puig also pointed out the significant correlation between age and melanoma risk, with people over 70 years exhibiting a 93-fold higher probability of diagnosis than those younger than 30 years.

Citing the German data, she noted that screening people 20 years and older with one risk factor reduced the number needed to screen by more than threefold — from more than 600 to 178.

Puig suggested dedicated surveillance programs for high-risk individuals alongside opportunistic screening during routine medical encounters.

“This would lead to a more efficient allocation of healthcare resources and better outcomes for those most vulnerable to melanoma,” Puig concluded.

 

Perform Population-Based Screening

In contrast, Mohr presented a defense of population-based skin cancer screening. Skin cancer is the most common cancer diagnosed in the United States and is prevalent worldwide, with more than 1.5 million new cases diagnosed globally in 2022.

Screening people and identifying the disease in its earliest stages is important, he said.

Mohr highlighted a recent study exploring biennial skin cancer screening in Germany and found that 4.2% of those screened had a skin cancer finding, but the number of interval melanomas was similar in both screened and unscreened populations.

However, a large retrospective cohort study from Germany involving about 1.4 million people showed a decrease in locoregional metastasis (from 13% to 4%), distant metastases (from 8% to 4%), and systemic treatments (from 21% to 11%) in screened vs unscreened people, as well as better overall survival rates in the screened population.

Mohr highlighted how Germany, in particular, is well-equipped for more broad-based, preventative screening.

Germany has had long-standing primary prevention programs, which have existed for about 24 years and involve extensive public awareness campaigns. Access to dermatologists is significantly better in Germany compared with the Netherlands, with an average waiting time for screening of around 6 weeks and only 1.2 weeks for suspicious lesions, compared with 14 weeks and 3.5 weeks, respectively, in the Netherlands. This access may make a broader screening strategy more feasible in a country like Germany.

However, Mohr did note that there are “no large, randomized trials to show us the value of skin cancer screening.”

 

A Role for Primary Care Physicians?

Although they disagreed about the utility of screening, both Puig and Mohr agreed on the important role primary care physicians play in improving early melanoma detection. “We cannot do it alone, and general practitioners are really fundamental,” Puig said.

Mohr said that continuous education for primary care physicians can dramatically improve their diagnostic skills. In Germany, an 8-hour training session significantly improved their ability to detect basal cell carcinoma and melanomas. However, he cautioned that this improved accuracy tended to wane within a year.

In Spain, Puig highlighted the successful implementation of teledermatology to support general practitioners. “We train them with dermoscopy, and we answer all teledermatology requests in 1 week, reducing in-person visits by 50%,” she explained. This approach allows general practitioners to assess potential skin cancer efficiently and streamline referrals.

Puig reported being on advisory boards for Almirall, Bristol Myers Squibb (BMS), ISDIN, La Roche-Posay, Leo Pharma, Novartis, Pfizer, Regeneron, Roche, Sanofi, and Sun Pharma. She conducts research and trials with AbbVie, Almirall, Amgen, BMS, Biofrontera, Canfield, Cantabria, Fotofinder, GSK, ISDIN, La Roche-Posay, Leo Pharma, MSD, MEDA, Novartis, Pfizer, Polychem, Sanofi, Roche, and Regeneron. She is involved with Athena Technology Solutions and Dermavision Solutions. Mohr reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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ATHENS, Greece — At the 11th World Congress of Melanoma and 21st EADO Congress 2025, experts presented divergent perspectives on the merits of population-wide skin cancer screening programs vs more targeted approaches. The debate highlighted concerns about healthcare resource allocation, overdiagnosis, and the true impact of mass skin cancer screening on mortality.

Arguing against widespread screening, particularly in low-to-medium incidence countries like Spain, was Susana Puig, MD, the head of Dermatology at Hospital Clínic de Barcelona, University of Barcelona, and a dermatologist at Barnaclínic+, Barcelona, Spain.

“It’s not efficient. We visit too many healthy individuals to detect melanoma,” she said. “We need to focus on treating patients, not checking healthy people without any risk.”

Championing for population-wide screening was Peter Mohr, MD, a dermatologist at the Clinic of Dermatology in Elbe Klinikum Buxtehude, Buxtehude, Germany, who noted a disproportionate focus on treatment rather than prevention. “The ultimate goal of screening,” he said, “is to prevent advanced disease and reduce melanoma-specific mortality.”

 

Avoid Population-Based Screening

Presenting data from Germany, Puig noted that population-based screening starting at any age requires examining more than 600 people and performing over 24 excisions to detect one melanoma. When setting screening to start at the age of 35 years, the number of people needed to screen to detect one melanoma decreased slightly to 559. 

These findings highlight that population-based screening will include many people who don’t need it and can increase the potential for overdiagnosis, she argued.

Studies and guidelines from the United States align with Puig’s concern about broad-based screening likely leading to overdiagnosis. “The incidence of melanoma has risen sixfold in the past 40 years in the United States, while mortality has remained largely flat, an epidemiological signature consistent with overdiagnosis,” according to Adewole Adamson, MD, an assistant professor of internal medicine, in the Division of Dermatology at Dell Medical School at The University of Texas at Austin, Texas, who published findings to this effect in 2022.

“We cannot saturate the system with healthy people,” Puig said. Instead, “we need to use strategies to identify high-risk patients.” She proposed being more selective about who to screen by identifying those at higher risk of developing melanoma.

Identifying risk factors, such as the presence of atypical nevi and a personal or family history of melanoma, can help hone who is screened, she explained. Patients with a personal history of melanoma, in particular, face a higher risk of developing subsequent melanomas. Data show that patients with two or more primary melanomas had almost three times the risk of developing a subsequent one than those with one prior melanoma — 25.7% vs 8.6%. Puig also pointed out the significant correlation between age and melanoma risk, with people over 70 years exhibiting a 93-fold higher probability of diagnosis than those younger than 30 years.

Citing the German data, she noted that screening people 20 years and older with one risk factor reduced the number needed to screen by more than threefold — from more than 600 to 178.

Puig suggested dedicated surveillance programs for high-risk individuals alongside opportunistic screening during routine medical encounters.

“This would lead to a more efficient allocation of healthcare resources and better outcomes for those most vulnerable to melanoma,” Puig concluded.

 

Perform Population-Based Screening

In contrast, Mohr presented a defense of population-based skin cancer screening. Skin cancer is the most common cancer diagnosed in the United States and is prevalent worldwide, with more than 1.5 million new cases diagnosed globally in 2022.

Screening people and identifying the disease in its earliest stages is important, he said.

Mohr highlighted a recent study exploring biennial skin cancer screening in Germany and found that 4.2% of those screened had a skin cancer finding, but the number of interval melanomas was similar in both screened and unscreened populations.

However, a large retrospective cohort study from Germany involving about 1.4 million people showed a decrease in locoregional metastasis (from 13% to 4%), distant metastases (from 8% to 4%), and systemic treatments (from 21% to 11%) in screened vs unscreened people, as well as better overall survival rates in the screened population.

Mohr highlighted how Germany, in particular, is well-equipped for more broad-based, preventative screening.

Germany has had long-standing primary prevention programs, which have existed for about 24 years and involve extensive public awareness campaigns. Access to dermatologists is significantly better in Germany compared with the Netherlands, with an average waiting time for screening of around 6 weeks and only 1.2 weeks for suspicious lesions, compared with 14 weeks and 3.5 weeks, respectively, in the Netherlands. This access may make a broader screening strategy more feasible in a country like Germany.

However, Mohr did note that there are “no large, randomized trials to show us the value of skin cancer screening.”

 

A Role for Primary Care Physicians?

Although they disagreed about the utility of screening, both Puig and Mohr agreed on the important role primary care physicians play in improving early melanoma detection. “We cannot do it alone, and general practitioners are really fundamental,” Puig said.

Mohr said that continuous education for primary care physicians can dramatically improve their diagnostic skills. In Germany, an 8-hour training session significantly improved their ability to detect basal cell carcinoma and melanomas. However, he cautioned that this improved accuracy tended to wane within a year.

In Spain, Puig highlighted the successful implementation of teledermatology to support general practitioners. “We train them with dermoscopy, and we answer all teledermatology requests in 1 week, reducing in-person visits by 50%,” she explained. This approach allows general practitioners to assess potential skin cancer efficiently and streamline referrals.

Puig reported being on advisory boards for Almirall, Bristol Myers Squibb (BMS), ISDIN, La Roche-Posay, Leo Pharma, Novartis, Pfizer, Regeneron, Roche, Sanofi, and Sun Pharma. She conducts research and trials with AbbVie, Almirall, Amgen, BMS, Biofrontera, Canfield, Cantabria, Fotofinder, GSK, ISDIN, La Roche-Posay, Leo Pharma, MSD, MEDA, Novartis, Pfizer, Polychem, Sanofi, Roche, and Regeneron. She is involved with Athena Technology Solutions and Dermavision Solutions. Mohr reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

ATHENS, Greece — At the 11th World Congress of Melanoma and 21st EADO Congress 2025, experts presented divergent perspectives on the merits of population-wide skin cancer screening programs vs more targeted approaches. The debate highlighted concerns about healthcare resource allocation, overdiagnosis, and the true impact of mass skin cancer screening on mortality.

Arguing against widespread screening, particularly in low-to-medium incidence countries like Spain, was Susana Puig, MD, the head of Dermatology at Hospital Clínic de Barcelona, University of Barcelona, and a dermatologist at Barnaclínic+, Barcelona, Spain.

“It’s not efficient. We visit too many healthy individuals to detect melanoma,” she said. “We need to focus on treating patients, not checking healthy people without any risk.”

Championing for population-wide screening was Peter Mohr, MD, a dermatologist at the Clinic of Dermatology in Elbe Klinikum Buxtehude, Buxtehude, Germany, who noted a disproportionate focus on treatment rather than prevention. “The ultimate goal of screening,” he said, “is to prevent advanced disease and reduce melanoma-specific mortality.”

 

Avoid Population-Based Screening

Presenting data from Germany, Puig noted that population-based screening starting at any age requires examining more than 600 people and performing over 24 excisions to detect one melanoma. When setting screening to start at the age of 35 years, the number of people needed to screen to detect one melanoma decreased slightly to 559. 

These findings highlight that population-based screening will include many people who don’t need it and can increase the potential for overdiagnosis, she argued.

Studies and guidelines from the United States align with Puig’s concern about broad-based screening likely leading to overdiagnosis. “The incidence of melanoma has risen sixfold in the past 40 years in the United States, while mortality has remained largely flat, an epidemiological signature consistent with overdiagnosis,” according to Adewole Adamson, MD, an assistant professor of internal medicine, in the Division of Dermatology at Dell Medical School at The University of Texas at Austin, Texas, who published findings to this effect in 2022.

“We cannot saturate the system with healthy people,” Puig said. Instead, “we need to use strategies to identify high-risk patients.” She proposed being more selective about who to screen by identifying those at higher risk of developing melanoma.

Identifying risk factors, such as the presence of atypical nevi and a personal or family history of melanoma, can help hone who is screened, she explained. Patients with a personal history of melanoma, in particular, face a higher risk of developing subsequent melanomas. Data show that patients with two or more primary melanomas had almost three times the risk of developing a subsequent one than those with one prior melanoma — 25.7% vs 8.6%. Puig also pointed out the significant correlation between age and melanoma risk, with people over 70 years exhibiting a 93-fold higher probability of diagnosis than those younger than 30 years.

Citing the German data, she noted that screening people 20 years and older with one risk factor reduced the number needed to screen by more than threefold — from more than 600 to 178.

Puig suggested dedicated surveillance programs for high-risk individuals alongside opportunistic screening during routine medical encounters.

“This would lead to a more efficient allocation of healthcare resources and better outcomes for those most vulnerable to melanoma,” Puig concluded.

 

Perform Population-Based Screening

In contrast, Mohr presented a defense of population-based skin cancer screening. Skin cancer is the most common cancer diagnosed in the United States and is prevalent worldwide, with more than 1.5 million new cases diagnosed globally in 2022.

Screening people and identifying the disease in its earliest stages is important, he said.

Mohr highlighted a recent study exploring biennial skin cancer screening in Germany and found that 4.2% of those screened had a skin cancer finding, but the number of interval melanomas was similar in both screened and unscreened populations.

However, a large retrospective cohort study from Germany involving about 1.4 million people showed a decrease in locoregional metastasis (from 13% to 4%), distant metastases (from 8% to 4%), and systemic treatments (from 21% to 11%) in screened vs unscreened people, as well as better overall survival rates in the screened population.

Mohr highlighted how Germany, in particular, is well-equipped for more broad-based, preventative screening.

Germany has had long-standing primary prevention programs, which have existed for about 24 years and involve extensive public awareness campaigns. Access to dermatologists is significantly better in Germany compared with the Netherlands, with an average waiting time for screening of around 6 weeks and only 1.2 weeks for suspicious lesions, compared with 14 weeks and 3.5 weeks, respectively, in the Netherlands. This access may make a broader screening strategy more feasible in a country like Germany.

However, Mohr did note that there are “no large, randomized trials to show us the value of skin cancer screening.”

 

A Role for Primary Care Physicians?

Although they disagreed about the utility of screening, both Puig and Mohr agreed on the important role primary care physicians play in improving early melanoma detection. “We cannot do it alone, and general practitioners are really fundamental,” Puig said.

Mohr said that continuous education for primary care physicians can dramatically improve their diagnostic skills. In Germany, an 8-hour training session significantly improved their ability to detect basal cell carcinoma and melanomas. However, he cautioned that this improved accuracy tended to wane within a year.

In Spain, Puig highlighted the successful implementation of teledermatology to support general practitioners. “We train them with dermoscopy, and we answer all teledermatology requests in 1 week, reducing in-person visits by 50%,” she explained. This approach allows general practitioners to assess potential skin cancer efficiently and streamline referrals.

Puig reported being on advisory boards for Almirall, Bristol Myers Squibb (BMS), ISDIN, La Roche-Posay, Leo Pharma, Novartis, Pfizer, Regeneron, Roche, Sanofi, and Sun Pharma. She conducts research and trials with AbbVie, Almirall, Amgen, BMS, Biofrontera, Canfield, Cantabria, Fotofinder, GSK, ISDIN, La Roche-Posay, Leo Pharma, MSD, MEDA, Novartis, Pfizer, Polychem, Sanofi, Roche, and Regeneron. She is involved with Athena Technology Solutions and Dermavision Solutions. Mohr reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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Rising Cancer Rates Among Young People Spur New Fertility Preservation Options

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Rising Cancer Rates Among Young People Spur New Fertility Preservation Options

ATLANTA —Jacqueline Lee, MD, a reproductive endocrinologist at Emory School of Medicine, frequently treats patients with cancer. Recently, she treated 4 women in their 30s with histories of colon cancer, acute lymphoblastic leukemia, lymphoma, and breast cancer. A young man in his 20s sought her care, to discuss his case of lymphoma.

All these patients sought guidance from Lee because they want to protect their ability to have children. At the annual meeting of the Association of VA Hematology/Oncology, Lee explained that plenty of patients are finding themselves in similar straits due in part to recent trends.

Cancer rates in the US have been rising among people aged 15 to 39 years, who now account for 4.2% of all cancer cases. An estimated 84,100 people in this age group are expected to be diagnosed with cancer this year. Meanwhile, women are having children later in life-birth rates are up among those aged 25 to 49 years-making it more likely that they have histories of cancer.

Although it's difficult to predict how cancer will affect fertility, Lee emphasized that many chemotherapy medications, including cisplatin and carboplatin, are cytotoxic. "It's hard to always predict what someone's arc of care is going to be," she said, "so I really have a low threshold for recommending fertility preservation in patients who have a strong desire to have future childbearing."

For women with cancer, egg preservation isn't the only strategy. Clinicians can also try to protect ovarian tissue from pelvic radiation through surgical reposition of the ovaries, Lee noted. In addition goserelin, a hormone-suppressing therapy, may protect the ovaries from chemotherapy, though its effectiveness in boosting pregnancy rates is still unclear.

"When I mentioned this option, it's usually for patients who can't preserve fertility via egg or embryo preservation, or we don't have the luxury of that kind of time," Lee said. "I say that if helps at all, it might help you resume menses after treatment. But infertility is still very common."

For some patients, freezing eggs is an easy decision. "They don't have a reproductive partner they're ready to make embryos with, so we proceed with egg preservation. It's no longer considered experimental and comes with lower upfront costs since the costs of actually making embryos are deferred until the future."

In addition, she said, freezing eggs also avoids the touchy topic of disposing of embryos. Lee cautions patients that retrieving eggs is a 2-week process that requires any initiation of cancer care to be delayed. However, the retrieval process can be adjusted in patients with special needs due to the type of cancer they have.

For prepubertal girls with cancer, ovarian tissue can be removed and frozen as a fertility preservation option. However, this is not considered standard of care. "We don't do it," she said. "We refer out if needed. Hopefully we'll develop a program in the future."

As for the 5 patients that Lee mentioned, with details changed to protect their privacy, their outcomes were as follows:

  • The woman with colon cancer, who had undergone a hemicolectomy, chose to defer fertility preservation.
  • The woman with acute lymphoblastic leukemia, who was taking depo-Lupron, had undetectable anti-Müllerian hormone (AMH) levels. Lee discussed the possibility of IVF with a donor egg.
  • The woman with breast cancer, who was newly diagnosed, deferred fertility preservation.
  • The man with lymphoma (Hodgkin's), who was awaiting chemotherapy, had his sperm frozen.
  • The woman with lymphoma (new diagnosis) had 27 eggs frozen.

Lee had no disclosures to report.

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ATLANTA —Jacqueline Lee, MD, a reproductive endocrinologist at Emory School of Medicine, frequently treats patients with cancer. Recently, she treated 4 women in their 30s with histories of colon cancer, acute lymphoblastic leukemia, lymphoma, and breast cancer. A young man in his 20s sought her care, to discuss his case of lymphoma.

All these patients sought guidance from Lee because they want to protect their ability to have children. At the annual meeting of the Association of VA Hematology/Oncology, Lee explained that plenty of patients are finding themselves in similar straits due in part to recent trends.

Cancer rates in the US have been rising among people aged 15 to 39 years, who now account for 4.2% of all cancer cases. An estimated 84,100 people in this age group are expected to be diagnosed with cancer this year. Meanwhile, women are having children later in life-birth rates are up among those aged 25 to 49 years-making it more likely that they have histories of cancer.

Although it's difficult to predict how cancer will affect fertility, Lee emphasized that many chemotherapy medications, including cisplatin and carboplatin, are cytotoxic. "It's hard to always predict what someone's arc of care is going to be," she said, "so I really have a low threshold for recommending fertility preservation in patients who have a strong desire to have future childbearing."

For women with cancer, egg preservation isn't the only strategy. Clinicians can also try to protect ovarian tissue from pelvic radiation through surgical reposition of the ovaries, Lee noted. In addition goserelin, a hormone-suppressing therapy, may protect the ovaries from chemotherapy, though its effectiveness in boosting pregnancy rates is still unclear.

"When I mentioned this option, it's usually for patients who can't preserve fertility via egg or embryo preservation, or we don't have the luxury of that kind of time," Lee said. "I say that if helps at all, it might help you resume menses after treatment. But infertility is still very common."

For some patients, freezing eggs is an easy decision. "They don't have a reproductive partner they're ready to make embryos with, so we proceed with egg preservation. It's no longer considered experimental and comes with lower upfront costs since the costs of actually making embryos are deferred until the future."

In addition, she said, freezing eggs also avoids the touchy topic of disposing of embryos. Lee cautions patients that retrieving eggs is a 2-week process that requires any initiation of cancer care to be delayed. However, the retrieval process can be adjusted in patients with special needs due to the type of cancer they have.

For prepubertal girls with cancer, ovarian tissue can be removed and frozen as a fertility preservation option. However, this is not considered standard of care. "We don't do it," she said. "We refer out if needed. Hopefully we'll develop a program in the future."

As for the 5 patients that Lee mentioned, with details changed to protect their privacy, their outcomes were as follows:

  • The woman with colon cancer, who had undergone a hemicolectomy, chose to defer fertility preservation.
  • The woman with acute lymphoblastic leukemia, who was taking depo-Lupron, had undetectable anti-Müllerian hormone (AMH) levels. Lee discussed the possibility of IVF with a donor egg.
  • The woman with breast cancer, who was newly diagnosed, deferred fertility preservation.
  • The man with lymphoma (Hodgkin's), who was awaiting chemotherapy, had his sperm frozen.
  • The woman with lymphoma (new diagnosis) had 27 eggs frozen.

Lee had no disclosures to report.

ATLANTA —Jacqueline Lee, MD, a reproductive endocrinologist at Emory School of Medicine, frequently treats patients with cancer. Recently, she treated 4 women in their 30s with histories of colon cancer, acute lymphoblastic leukemia, lymphoma, and breast cancer. A young man in his 20s sought her care, to discuss his case of lymphoma.

All these patients sought guidance from Lee because they want to protect their ability to have children. At the annual meeting of the Association of VA Hematology/Oncology, Lee explained that plenty of patients are finding themselves in similar straits due in part to recent trends.

Cancer rates in the US have been rising among people aged 15 to 39 years, who now account for 4.2% of all cancer cases. An estimated 84,100 people in this age group are expected to be diagnosed with cancer this year. Meanwhile, women are having children later in life-birth rates are up among those aged 25 to 49 years-making it more likely that they have histories of cancer.

Although it's difficult to predict how cancer will affect fertility, Lee emphasized that many chemotherapy medications, including cisplatin and carboplatin, are cytotoxic. "It's hard to always predict what someone's arc of care is going to be," she said, "so I really have a low threshold for recommending fertility preservation in patients who have a strong desire to have future childbearing."

For women with cancer, egg preservation isn't the only strategy. Clinicians can also try to protect ovarian tissue from pelvic radiation through surgical reposition of the ovaries, Lee noted. In addition goserelin, a hormone-suppressing therapy, may protect the ovaries from chemotherapy, though its effectiveness in boosting pregnancy rates is still unclear.

"When I mentioned this option, it's usually for patients who can't preserve fertility via egg or embryo preservation, or we don't have the luxury of that kind of time," Lee said. "I say that if helps at all, it might help you resume menses after treatment. But infertility is still very common."

For some patients, freezing eggs is an easy decision. "They don't have a reproductive partner they're ready to make embryos with, so we proceed with egg preservation. It's no longer considered experimental and comes with lower upfront costs since the costs of actually making embryos are deferred until the future."

In addition, she said, freezing eggs also avoids the touchy topic of disposing of embryos. Lee cautions patients that retrieving eggs is a 2-week process that requires any initiation of cancer care to be delayed. However, the retrieval process can be adjusted in patients with special needs due to the type of cancer they have.

For prepubertal girls with cancer, ovarian tissue can be removed and frozen as a fertility preservation option. However, this is not considered standard of care. "We don't do it," she said. "We refer out if needed. Hopefully we'll develop a program in the future."

As for the 5 patients that Lee mentioned, with details changed to protect their privacy, their outcomes were as follows:

  • The woman with colon cancer, who had undergone a hemicolectomy, chose to defer fertility preservation.
  • The woman with acute lymphoblastic leukemia, who was taking depo-Lupron, had undetectable anti-Müllerian hormone (AMH) levels. Lee discussed the possibility of IVF with a donor egg.
  • The woman with breast cancer, who was newly diagnosed, deferred fertility preservation.
  • The man with lymphoma (Hodgkin's), who was awaiting chemotherapy, had his sperm frozen.
  • The woman with lymphoma (new diagnosis) had 27 eggs frozen.

Lee had no disclosures to report.

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Rising Cancer Rates Among Young People Spur New Fertility Preservation Options

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Rising Cancer Rates Among Young People Spur New Fertility Preservation Options

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