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Geographical Trends in Malignant Melanoma from 1999-2022: A CDC Wonder Study
Background
Melanoma is the fifth leading cause of cancer in the United States. This study’s objective is to analyze geographical trends in melanoma-related mortality in the US before and during COVID-19. To date, no previous studies have analyzed geographical trends in melanoma mortality using the CDC Wonder data base. Previous literature reports Utah, Vermont, Delaware, Minnesota and New Hampshire as having the highest UV-attributable incidence rates of melanoma.
Methods
The CDC Wonder database was used to collect data on melanoma-related mortality rates in the US from 1999-2022. Age-adjusted mortality rates (AAMR) per 100,000 and annual percentage change (APC) using Joinpoint regression were used to analyze state and regional trends.
Results
From 1999 to 2019, the states with the largest increase in AAMR were Idaho (0.91) and Colorado (0.63) while Oklahoma (-1.07), Nevada (-0.94), and Texas (-0.92) saw the largest decreases. During COVID-19 (2019 to 2021), the states with the largest increase in AAMR were South Dakota (1.42), Oregon (1.09), and Montana (1.08) while Vermont (-1.02), Minnesota (-0.45), and Connecticut (-0.38) had the largest declines. From 2006-2022, except 2020, the Northeast consistently had the lowest AAMR. From 2008-2012 the West consistently had the highest AAMR. From 2013-2022, except 2015, the Midwest had the highest AAMR. From 2009 onwards, all 4 regions have seen an overall decline in AAMR with their lowest values being in 2022.
Conclusions
Idaho had the highest AAMR before COVID-19 while Oklahoma had the lowest. During COVID-19, South Dakota saw the highest AAMR while Vermont had the lowest. AAMRs have been trending downwards across all 4 regions since 2009 and the Northeast has fared the best over that period. These results should be used to increase implementation and enforcement of preventative measures to reduce UV exposure, especially in states with higher AAMRs. Further research should examine statewide sun protection programs to search for any relationship with their AAMRs.
Background
Melanoma is the fifth leading cause of cancer in the United States. This study’s objective is to analyze geographical trends in melanoma-related mortality in the US before and during COVID-19. To date, no previous studies have analyzed geographical trends in melanoma mortality using the CDC Wonder data base. Previous literature reports Utah, Vermont, Delaware, Minnesota and New Hampshire as having the highest UV-attributable incidence rates of melanoma.
Methods
The CDC Wonder database was used to collect data on melanoma-related mortality rates in the US from 1999-2022. Age-adjusted mortality rates (AAMR) per 100,000 and annual percentage change (APC) using Joinpoint regression were used to analyze state and regional trends.
Results
From 1999 to 2019, the states with the largest increase in AAMR were Idaho (0.91) and Colorado (0.63) while Oklahoma (-1.07), Nevada (-0.94), and Texas (-0.92) saw the largest decreases. During COVID-19 (2019 to 2021), the states with the largest increase in AAMR were South Dakota (1.42), Oregon (1.09), and Montana (1.08) while Vermont (-1.02), Minnesota (-0.45), and Connecticut (-0.38) had the largest declines. From 2006-2022, except 2020, the Northeast consistently had the lowest AAMR. From 2008-2012 the West consistently had the highest AAMR. From 2013-2022, except 2015, the Midwest had the highest AAMR. From 2009 onwards, all 4 regions have seen an overall decline in AAMR with their lowest values being in 2022.
Conclusions
Idaho had the highest AAMR before COVID-19 while Oklahoma had the lowest. During COVID-19, South Dakota saw the highest AAMR while Vermont had the lowest. AAMRs have been trending downwards across all 4 regions since 2009 and the Northeast has fared the best over that period. These results should be used to increase implementation and enforcement of preventative measures to reduce UV exposure, especially in states with higher AAMRs. Further research should examine statewide sun protection programs to search for any relationship with their AAMRs.
Background
Melanoma is the fifth leading cause of cancer in the United States. This study’s objective is to analyze geographical trends in melanoma-related mortality in the US before and during COVID-19. To date, no previous studies have analyzed geographical trends in melanoma mortality using the CDC Wonder data base. Previous literature reports Utah, Vermont, Delaware, Minnesota and New Hampshire as having the highest UV-attributable incidence rates of melanoma.
Methods
The CDC Wonder database was used to collect data on melanoma-related mortality rates in the US from 1999-2022. Age-adjusted mortality rates (AAMR) per 100,000 and annual percentage change (APC) using Joinpoint regression were used to analyze state and regional trends.
Results
From 1999 to 2019, the states with the largest increase in AAMR were Idaho (0.91) and Colorado (0.63) while Oklahoma (-1.07), Nevada (-0.94), and Texas (-0.92) saw the largest decreases. During COVID-19 (2019 to 2021), the states with the largest increase in AAMR were South Dakota (1.42), Oregon (1.09), and Montana (1.08) while Vermont (-1.02), Minnesota (-0.45), and Connecticut (-0.38) had the largest declines. From 2006-2022, except 2020, the Northeast consistently had the lowest AAMR. From 2008-2012 the West consistently had the highest AAMR. From 2013-2022, except 2015, the Midwest had the highest AAMR. From 2009 onwards, all 4 regions have seen an overall decline in AAMR with their lowest values being in 2022.
Conclusions
Idaho had the highest AAMR before COVID-19 while Oklahoma had the lowest. During COVID-19, South Dakota saw the highest AAMR while Vermont had the lowest. AAMRs have been trending downwards across all 4 regions since 2009 and the Northeast has fared the best over that period. These results should be used to increase implementation and enforcement of preventative measures to reduce UV exposure, especially in states with higher AAMRs. Further research should examine statewide sun protection programs to search for any relationship with their AAMRs.
Do Clonal Hematopoiesis and Mosaic Chromosomal Alterations Increase Solid Tumor Risk?
Clonal hematopoiesis of indeterminate potential (CHIP) and mosaic chromosomal alterations (mCAs) are associated with an increased risk for breast cancer, and CHIP is associated with increased mortality in patients with colon cancer, according to the authors of new research.
These findings, drawn from almost 11,000 patients in the Women’s Health Initiative (WHI) study, add further evidence that CHIP and mCA drive solid tumor risk, alongside known associations with hematologic malignancies, reported lead author Pinkal Desai, MD, associate professor of medicine and clinical director of molecular aging at Englander Institute for Precision Medicine, Weill Cornell Medical College, New York City, and colleagues.
How This Study Differs From Others of Breast Cancer Risk Factors
“The independent effect of CHIP and mCA on risk and mortality from solid tumors has not been elucidated due to lack of detailed data on mortality outcomes and risk factors,” the investigators wrote in Cancer, although some previous studies have suggested a link.
In particular, the investigators highlighted a 2022 UK Biobank study, which reported an association between CHIP and lung cancer and a borderline association with breast cancer that did not quite reach statistical significance.
But the UK Biobank study was confined to a UK population, Dr. Desai noted in an interview, and the data were less detailed than those in the present investigation.
“In terms of risk, the part that was lacking in previous studies was a comprehensive assessment of risk factors that increase risk for all these cancers,” Dr. Desai said. “For example, for breast cancer, we had very detailed data on [participants’] Gail risk score, which is known to impact breast cancer risk. We also had mammogram data and colonoscopy data.”
In an accompanying editorial, Koichi Takahashi, MD, PhD , and Nehali Shah, BS, of The University of Texas MD Anderson Cancer Center, Houston, Texas, pointed out the same UK Biobank findings, then noted that CHIP has also been linked with worse overall survival in unselected cancer patients. Still, they wrote, “the impact of CH on cancer risk and mortality remains controversial due to conflicting data and context‐dependent effects,” necessitating studies like this one by Dr. Desai and colleagues.
How Was the Relationship Between CHIP, MCA, and Solid Tumor Risk Assessed?
To explore possible associations between CHIP, mCA, and solid tumors, the investigators analyzed whole genome sequencing data from 10,866 women in the WHI, a multi-study program that began in 1992 and involved 161,808 women in both observational and clinical trial cohorts.
In 2002, the first big data release from the WHI suggested that hormone replacement therapy (HRT) increased breast cancer risk, leading to widespread reduction in HRT use.
More recent reports continue to shape our understanding of these risks, suggesting differences across cancer types. For breast cancer, the WHI data suggested that HRT-associated risk was largely driven by formulations involving progesterone and estrogen, whereas estrogen-only formulations, now more common, are generally considered to present an acceptable risk profile for suitable patients.
The new study accounted for this potential HRT-associated risk, including by adjusting for patients who received HRT, type of HRT received, and duration of HRT received. According to Desai, this approach is commonly used when analyzing data from the WHI, nullifying concerns about the potentially deleterious effects of the hormones used in the study.
“Our question was not ‘does HRT cause cancer?’ ” Dr. Desai said in an interview. “But HRT can be linked to breast cancer risk and has a potential to be a confounder, and hence the above methodology.
“So I can say that the confounding/effect modification that HRT would have contributed to in the relationship between exposure (CH and mCA) and outcome (cancer) is well adjusted for as described above. This is standard in WHI analyses,” she continued.
“Every Women’s Health Initiative analysis that comes out — not just for our study — uses a standard method ... where you account for hormonal therapy,” Dr. Desai added, again noting that many other potential risk factors were considered, enabling a “detailed, robust” analysis.
Dr. Takahashi and Ms. Shah agreed. “A notable strength of this study is its adjustment for many confounding factors,” they wrote. “The cohort’s well‐annotated data on other known cancer risk factors allowed for a robust assessment of CH’s independent risk.”
How Do Findings Compare With Those of the UK Biobank Study?
CHIP was associated with a 30% increased risk for breast cancer (hazard ratio [HR], 1.30; 95% CI, 1.03-1.64; P = .02), strengthening the borderline association reported by the UK Biobank study.
In contrast with the UK Biobank study, CHIP was not associated with lung cancer risk, although this may have been caused by fewer cases of lung cancer and a lack of male patients, Dr. Desai suggested.
“The discrepancy between the studies lies in the risk of lung cancer, although the point estimate in the current study suggested a positive association,” wrote Dr. Takahashi and Ms. Shah.
As in the UK Biobank study, CHIP was not associated with increased risk of developing colorectal cancer.
Mortality analysis, however, which was not conducted in the UK Biobank study, offered a new insight: Patients with existing colorectal cancer and CHIP had a significantly higher mortality risk than those without CHIP. Before stage adjustment, risk for mortality among those with colorectal cancer and CHIP was fourfold higher than those without CHIP (HR, 3.99; 95% CI, 2.41-6.62; P < .001). After stage adjustment, CHIP was still associated with a twofold higher mortality risk (HR, 2.50; 95% CI, 1.32-4.72; P = .004).
The investigators’ first mCA analyses, which employed a cell fraction cutoff greater than 3%, were unfruitful. But raising the cell fraction threshold to 5% in an exploratory analysis showed that autosomal mCA was associated with a 39% increased risk for breast cancer (HR, 1.39; 95% CI, 1.06-1.83; P = .01). No such associations were found between mCA and colorectal or lung cancer, regardless of cell fraction threshold.
The original 3% cell fraction threshold was selected on the basis of previous studies reporting a link between mCA and hematologic malignancies at this cutoff, Dr. Desai said.
She and her colleagues said a higher 5% cutoff might be needed, as they suspected that the link between mCA and solid tumors may not be causal, requiring a higher mutation rate.
Why Do Results Differ Between These Types of Studies?
Dr. Takahashi and Ms. Shah suggested that one possible limitation of the new study, and an obstacle to comparing results with the UK Biobank study and others like it, goes beyond population heterogeneity; incongruent findings could also be explained by differences in whole genome sequencing (WGS) technique.
“Although WGS allows sensitive detection of mCA through broad genomic coverage, it is less effective at detecting CHIP with low variant allele frequency (VAF) due to its relatively shallow depth (30x),” they wrote. “Consequently, the prevalence of mCA (18.8%) was much higher than that of CHIP (8.3%) in this cohort, contrasting with other studies using deeper sequencing.” As a result, the present study may have underestimated CHIP prevalence because of shallow sequencing depth.
“This inconsistency is a common challenge in CH population studies due to the lack of standardized methodologies and the frequent reliance on preexisting data not originally intended for CH detection,” Dr. Takahashi and Ms. Shah said.
Even so, despite the “heavily context-dependent” nature of these reported risks, the body of evidence to date now offers a convincing biological rationale linking CH with cancer development and outcomes, they added.
How Do the CHIP- and mCA-associated Risks Differ Between Solid Tumors and Blood Cancers?
“[These solid tumor risks are] not causal in the way CHIP mutations are causal for blood cancers,” Dr. Desai said. “Here we are talking about solid tumor risk, and it’s kind of scattered. It’s not just breast cancer ... there’s also increased colon cancer mortality. So I feel these mutations are doing something different ... they are sort of an added factor.”
Specific mechanisms remain unclear, Dr. Desai said, although she speculated about possible impacts on the inflammatory state or alterations to the tumor microenvironment.
“These are blood cells, right?” Dr. Desai asked. “They’re everywhere, and they’re changing something inherently in these tumors.”
Future research and therapeutic development
Siddhartha Jaiswal, MD, PhD, assistant professor in the Department of Pathology at Stanford University in California, whose lab focuses on clonal hematopoiesis, said the causality question is central to future research.
“The key question is, are these mutations acting because they alter the function of blood cells in some way to promote cancer risk, or is it reflective of some sort of shared etiology that’s not causal?” Dr. Jaiswal said in an interview.
Available data support both possibilities.
On one side, “reasonable evidence” supports the noncausal view, Dr. Jaiswal noted, because telomere length is one of the most common genetic risk factors for clonal hematopoiesis and also for solid tumors, suggesting a shared genetic factor. On the other hand, CHIP and mCA could be directly protumorigenic via conferred disturbances of immune cell function.
When asked if both causal and noncausal factors could be at play, Dr. Jaiswal said, “yeah, absolutely.”
The presence of a causal association could be promising from a therapeutic standpoint.
“If it turns out that this association is driven by a direct causal effect of the mutations, perhaps related to immune cell function or dysfunction, then targeting that dysfunction could be a therapeutic path to improve outcomes in people, and there’s a lot of interest in this,” Dr. Jaiswal said. He went on to explain how a trial exploring this approach via interleukin-8 inhibition in lung cancer fell short.
Yet earlier intervention may still hold promise, according to experts.
“[This study] provokes the hypothesis that CH‐targeted interventions could potentially reduce cancer risk in the future,” Dr. Takahashi and Ms. Shah said in their editorial.
The WHI program is funded by the National Heart, Lung, and Blood Institute; National Institutes of Health; and the Department of Health & Human Services. The investigators disclosed relationships with Eli Lilly, AbbVie, Celgene, and others. Dr. Jaiswal reported stock equity in a company that has an interest in clonal hematopoiesis.
A version of this article first appeared on Medscape.com.
Clonal hematopoiesis of indeterminate potential (CHIP) and mosaic chromosomal alterations (mCAs) are associated with an increased risk for breast cancer, and CHIP is associated with increased mortality in patients with colon cancer, according to the authors of new research.
These findings, drawn from almost 11,000 patients in the Women’s Health Initiative (WHI) study, add further evidence that CHIP and mCA drive solid tumor risk, alongside known associations with hematologic malignancies, reported lead author Pinkal Desai, MD, associate professor of medicine and clinical director of molecular aging at Englander Institute for Precision Medicine, Weill Cornell Medical College, New York City, and colleagues.
How This Study Differs From Others of Breast Cancer Risk Factors
“The independent effect of CHIP and mCA on risk and mortality from solid tumors has not been elucidated due to lack of detailed data on mortality outcomes and risk factors,” the investigators wrote in Cancer, although some previous studies have suggested a link.
In particular, the investigators highlighted a 2022 UK Biobank study, which reported an association between CHIP and lung cancer and a borderline association with breast cancer that did not quite reach statistical significance.
But the UK Biobank study was confined to a UK population, Dr. Desai noted in an interview, and the data were less detailed than those in the present investigation.
“In terms of risk, the part that was lacking in previous studies was a comprehensive assessment of risk factors that increase risk for all these cancers,” Dr. Desai said. “For example, for breast cancer, we had very detailed data on [participants’] Gail risk score, which is known to impact breast cancer risk. We also had mammogram data and colonoscopy data.”
In an accompanying editorial, Koichi Takahashi, MD, PhD , and Nehali Shah, BS, of The University of Texas MD Anderson Cancer Center, Houston, Texas, pointed out the same UK Biobank findings, then noted that CHIP has also been linked with worse overall survival in unselected cancer patients. Still, they wrote, “the impact of CH on cancer risk and mortality remains controversial due to conflicting data and context‐dependent effects,” necessitating studies like this one by Dr. Desai and colleagues.
How Was the Relationship Between CHIP, MCA, and Solid Tumor Risk Assessed?
To explore possible associations between CHIP, mCA, and solid tumors, the investigators analyzed whole genome sequencing data from 10,866 women in the WHI, a multi-study program that began in 1992 and involved 161,808 women in both observational and clinical trial cohorts.
In 2002, the first big data release from the WHI suggested that hormone replacement therapy (HRT) increased breast cancer risk, leading to widespread reduction in HRT use.
More recent reports continue to shape our understanding of these risks, suggesting differences across cancer types. For breast cancer, the WHI data suggested that HRT-associated risk was largely driven by formulations involving progesterone and estrogen, whereas estrogen-only formulations, now more common, are generally considered to present an acceptable risk profile for suitable patients.
The new study accounted for this potential HRT-associated risk, including by adjusting for patients who received HRT, type of HRT received, and duration of HRT received. According to Desai, this approach is commonly used when analyzing data from the WHI, nullifying concerns about the potentially deleterious effects of the hormones used in the study.
“Our question was not ‘does HRT cause cancer?’ ” Dr. Desai said in an interview. “But HRT can be linked to breast cancer risk and has a potential to be a confounder, and hence the above methodology.
“So I can say that the confounding/effect modification that HRT would have contributed to in the relationship between exposure (CH and mCA) and outcome (cancer) is well adjusted for as described above. This is standard in WHI analyses,” she continued.
“Every Women’s Health Initiative analysis that comes out — not just for our study — uses a standard method ... where you account for hormonal therapy,” Dr. Desai added, again noting that many other potential risk factors were considered, enabling a “detailed, robust” analysis.
Dr. Takahashi and Ms. Shah agreed. “A notable strength of this study is its adjustment for many confounding factors,” they wrote. “The cohort’s well‐annotated data on other known cancer risk factors allowed for a robust assessment of CH’s independent risk.”
How Do Findings Compare With Those of the UK Biobank Study?
CHIP was associated with a 30% increased risk for breast cancer (hazard ratio [HR], 1.30; 95% CI, 1.03-1.64; P = .02), strengthening the borderline association reported by the UK Biobank study.
In contrast with the UK Biobank study, CHIP was not associated with lung cancer risk, although this may have been caused by fewer cases of lung cancer and a lack of male patients, Dr. Desai suggested.
“The discrepancy between the studies lies in the risk of lung cancer, although the point estimate in the current study suggested a positive association,” wrote Dr. Takahashi and Ms. Shah.
As in the UK Biobank study, CHIP was not associated with increased risk of developing colorectal cancer.
Mortality analysis, however, which was not conducted in the UK Biobank study, offered a new insight: Patients with existing colorectal cancer and CHIP had a significantly higher mortality risk than those without CHIP. Before stage adjustment, risk for mortality among those with colorectal cancer and CHIP was fourfold higher than those without CHIP (HR, 3.99; 95% CI, 2.41-6.62; P < .001). After stage adjustment, CHIP was still associated with a twofold higher mortality risk (HR, 2.50; 95% CI, 1.32-4.72; P = .004).
The investigators’ first mCA analyses, which employed a cell fraction cutoff greater than 3%, were unfruitful. But raising the cell fraction threshold to 5% in an exploratory analysis showed that autosomal mCA was associated with a 39% increased risk for breast cancer (HR, 1.39; 95% CI, 1.06-1.83; P = .01). No such associations were found between mCA and colorectal or lung cancer, regardless of cell fraction threshold.
The original 3% cell fraction threshold was selected on the basis of previous studies reporting a link between mCA and hematologic malignancies at this cutoff, Dr. Desai said.
She and her colleagues said a higher 5% cutoff might be needed, as they suspected that the link between mCA and solid tumors may not be causal, requiring a higher mutation rate.
Why Do Results Differ Between These Types of Studies?
Dr. Takahashi and Ms. Shah suggested that one possible limitation of the new study, and an obstacle to comparing results with the UK Biobank study and others like it, goes beyond population heterogeneity; incongruent findings could also be explained by differences in whole genome sequencing (WGS) technique.
“Although WGS allows sensitive detection of mCA through broad genomic coverage, it is less effective at detecting CHIP with low variant allele frequency (VAF) due to its relatively shallow depth (30x),” they wrote. “Consequently, the prevalence of mCA (18.8%) was much higher than that of CHIP (8.3%) in this cohort, contrasting with other studies using deeper sequencing.” As a result, the present study may have underestimated CHIP prevalence because of shallow sequencing depth.
“This inconsistency is a common challenge in CH population studies due to the lack of standardized methodologies and the frequent reliance on preexisting data not originally intended for CH detection,” Dr. Takahashi and Ms. Shah said.
Even so, despite the “heavily context-dependent” nature of these reported risks, the body of evidence to date now offers a convincing biological rationale linking CH with cancer development and outcomes, they added.
How Do the CHIP- and mCA-associated Risks Differ Between Solid Tumors and Blood Cancers?
“[These solid tumor risks are] not causal in the way CHIP mutations are causal for blood cancers,” Dr. Desai said. “Here we are talking about solid tumor risk, and it’s kind of scattered. It’s not just breast cancer ... there’s also increased colon cancer mortality. So I feel these mutations are doing something different ... they are sort of an added factor.”
Specific mechanisms remain unclear, Dr. Desai said, although she speculated about possible impacts on the inflammatory state or alterations to the tumor microenvironment.
“These are blood cells, right?” Dr. Desai asked. “They’re everywhere, and they’re changing something inherently in these tumors.”
Future research and therapeutic development
Siddhartha Jaiswal, MD, PhD, assistant professor in the Department of Pathology at Stanford University in California, whose lab focuses on clonal hematopoiesis, said the causality question is central to future research.
“The key question is, are these mutations acting because they alter the function of blood cells in some way to promote cancer risk, or is it reflective of some sort of shared etiology that’s not causal?” Dr. Jaiswal said in an interview.
Available data support both possibilities.
On one side, “reasonable evidence” supports the noncausal view, Dr. Jaiswal noted, because telomere length is one of the most common genetic risk factors for clonal hematopoiesis and also for solid tumors, suggesting a shared genetic factor. On the other hand, CHIP and mCA could be directly protumorigenic via conferred disturbances of immune cell function.
When asked if both causal and noncausal factors could be at play, Dr. Jaiswal said, “yeah, absolutely.”
The presence of a causal association could be promising from a therapeutic standpoint.
“If it turns out that this association is driven by a direct causal effect of the mutations, perhaps related to immune cell function or dysfunction, then targeting that dysfunction could be a therapeutic path to improve outcomes in people, and there’s a lot of interest in this,” Dr. Jaiswal said. He went on to explain how a trial exploring this approach via interleukin-8 inhibition in lung cancer fell short.
Yet earlier intervention may still hold promise, according to experts.
“[This study] provokes the hypothesis that CH‐targeted interventions could potentially reduce cancer risk in the future,” Dr. Takahashi and Ms. Shah said in their editorial.
The WHI program is funded by the National Heart, Lung, and Blood Institute; National Institutes of Health; and the Department of Health & Human Services. The investigators disclosed relationships with Eli Lilly, AbbVie, Celgene, and others. Dr. Jaiswal reported stock equity in a company that has an interest in clonal hematopoiesis.
A version of this article first appeared on Medscape.com.
Clonal hematopoiesis of indeterminate potential (CHIP) and mosaic chromosomal alterations (mCAs) are associated with an increased risk for breast cancer, and CHIP is associated with increased mortality in patients with colon cancer, according to the authors of new research.
These findings, drawn from almost 11,000 patients in the Women’s Health Initiative (WHI) study, add further evidence that CHIP and mCA drive solid tumor risk, alongside known associations with hematologic malignancies, reported lead author Pinkal Desai, MD, associate professor of medicine and clinical director of molecular aging at Englander Institute for Precision Medicine, Weill Cornell Medical College, New York City, and colleagues.
How This Study Differs From Others of Breast Cancer Risk Factors
“The independent effect of CHIP and mCA on risk and mortality from solid tumors has not been elucidated due to lack of detailed data on mortality outcomes and risk factors,” the investigators wrote in Cancer, although some previous studies have suggested a link.
In particular, the investigators highlighted a 2022 UK Biobank study, which reported an association between CHIP and lung cancer and a borderline association with breast cancer that did not quite reach statistical significance.
But the UK Biobank study was confined to a UK population, Dr. Desai noted in an interview, and the data were less detailed than those in the present investigation.
“In terms of risk, the part that was lacking in previous studies was a comprehensive assessment of risk factors that increase risk for all these cancers,” Dr. Desai said. “For example, for breast cancer, we had very detailed data on [participants’] Gail risk score, which is known to impact breast cancer risk. We also had mammogram data and colonoscopy data.”
In an accompanying editorial, Koichi Takahashi, MD, PhD , and Nehali Shah, BS, of The University of Texas MD Anderson Cancer Center, Houston, Texas, pointed out the same UK Biobank findings, then noted that CHIP has also been linked with worse overall survival in unselected cancer patients. Still, they wrote, “the impact of CH on cancer risk and mortality remains controversial due to conflicting data and context‐dependent effects,” necessitating studies like this one by Dr. Desai and colleagues.
How Was the Relationship Between CHIP, MCA, and Solid Tumor Risk Assessed?
To explore possible associations between CHIP, mCA, and solid tumors, the investigators analyzed whole genome sequencing data from 10,866 women in the WHI, a multi-study program that began in 1992 and involved 161,808 women in both observational and clinical trial cohorts.
In 2002, the first big data release from the WHI suggested that hormone replacement therapy (HRT) increased breast cancer risk, leading to widespread reduction in HRT use.
More recent reports continue to shape our understanding of these risks, suggesting differences across cancer types. For breast cancer, the WHI data suggested that HRT-associated risk was largely driven by formulations involving progesterone and estrogen, whereas estrogen-only formulations, now more common, are generally considered to present an acceptable risk profile for suitable patients.
The new study accounted for this potential HRT-associated risk, including by adjusting for patients who received HRT, type of HRT received, and duration of HRT received. According to Desai, this approach is commonly used when analyzing data from the WHI, nullifying concerns about the potentially deleterious effects of the hormones used in the study.
“Our question was not ‘does HRT cause cancer?’ ” Dr. Desai said in an interview. “But HRT can be linked to breast cancer risk and has a potential to be a confounder, and hence the above methodology.
“So I can say that the confounding/effect modification that HRT would have contributed to in the relationship between exposure (CH and mCA) and outcome (cancer) is well adjusted for as described above. This is standard in WHI analyses,” she continued.
“Every Women’s Health Initiative analysis that comes out — not just for our study — uses a standard method ... where you account for hormonal therapy,” Dr. Desai added, again noting that many other potential risk factors were considered, enabling a “detailed, robust” analysis.
Dr. Takahashi and Ms. Shah agreed. “A notable strength of this study is its adjustment for many confounding factors,” they wrote. “The cohort’s well‐annotated data on other known cancer risk factors allowed for a robust assessment of CH’s independent risk.”
How Do Findings Compare With Those of the UK Biobank Study?
CHIP was associated with a 30% increased risk for breast cancer (hazard ratio [HR], 1.30; 95% CI, 1.03-1.64; P = .02), strengthening the borderline association reported by the UK Biobank study.
In contrast with the UK Biobank study, CHIP was not associated with lung cancer risk, although this may have been caused by fewer cases of lung cancer and a lack of male patients, Dr. Desai suggested.
“The discrepancy between the studies lies in the risk of lung cancer, although the point estimate in the current study suggested a positive association,” wrote Dr. Takahashi and Ms. Shah.
As in the UK Biobank study, CHIP was not associated with increased risk of developing colorectal cancer.
Mortality analysis, however, which was not conducted in the UK Biobank study, offered a new insight: Patients with existing colorectal cancer and CHIP had a significantly higher mortality risk than those without CHIP. Before stage adjustment, risk for mortality among those with colorectal cancer and CHIP was fourfold higher than those without CHIP (HR, 3.99; 95% CI, 2.41-6.62; P < .001). After stage adjustment, CHIP was still associated with a twofold higher mortality risk (HR, 2.50; 95% CI, 1.32-4.72; P = .004).
The investigators’ first mCA analyses, which employed a cell fraction cutoff greater than 3%, were unfruitful. But raising the cell fraction threshold to 5% in an exploratory analysis showed that autosomal mCA was associated with a 39% increased risk for breast cancer (HR, 1.39; 95% CI, 1.06-1.83; P = .01). No such associations were found between mCA and colorectal or lung cancer, regardless of cell fraction threshold.
The original 3% cell fraction threshold was selected on the basis of previous studies reporting a link between mCA and hematologic malignancies at this cutoff, Dr. Desai said.
She and her colleagues said a higher 5% cutoff might be needed, as they suspected that the link between mCA and solid tumors may not be causal, requiring a higher mutation rate.
Why Do Results Differ Between These Types of Studies?
Dr. Takahashi and Ms. Shah suggested that one possible limitation of the new study, and an obstacle to comparing results with the UK Biobank study and others like it, goes beyond population heterogeneity; incongruent findings could also be explained by differences in whole genome sequencing (WGS) technique.
“Although WGS allows sensitive detection of mCA through broad genomic coverage, it is less effective at detecting CHIP with low variant allele frequency (VAF) due to its relatively shallow depth (30x),” they wrote. “Consequently, the prevalence of mCA (18.8%) was much higher than that of CHIP (8.3%) in this cohort, contrasting with other studies using deeper sequencing.” As a result, the present study may have underestimated CHIP prevalence because of shallow sequencing depth.
“This inconsistency is a common challenge in CH population studies due to the lack of standardized methodologies and the frequent reliance on preexisting data not originally intended for CH detection,” Dr. Takahashi and Ms. Shah said.
Even so, despite the “heavily context-dependent” nature of these reported risks, the body of evidence to date now offers a convincing biological rationale linking CH with cancer development and outcomes, they added.
How Do the CHIP- and mCA-associated Risks Differ Between Solid Tumors and Blood Cancers?
“[These solid tumor risks are] not causal in the way CHIP mutations are causal for blood cancers,” Dr. Desai said. “Here we are talking about solid tumor risk, and it’s kind of scattered. It’s not just breast cancer ... there’s also increased colon cancer mortality. So I feel these mutations are doing something different ... they are sort of an added factor.”
Specific mechanisms remain unclear, Dr. Desai said, although she speculated about possible impacts on the inflammatory state or alterations to the tumor microenvironment.
“These are blood cells, right?” Dr. Desai asked. “They’re everywhere, and they’re changing something inherently in these tumors.”
Future research and therapeutic development
Siddhartha Jaiswal, MD, PhD, assistant professor in the Department of Pathology at Stanford University in California, whose lab focuses on clonal hematopoiesis, said the causality question is central to future research.
“The key question is, are these mutations acting because they alter the function of blood cells in some way to promote cancer risk, or is it reflective of some sort of shared etiology that’s not causal?” Dr. Jaiswal said in an interview.
Available data support both possibilities.
On one side, “reasonable evidence” supports the noncausal view, Dr. Jaiswal noted, because telomere length is one of the most common genetic risk factors for clonal hematopoiesis and also for solid tumors, suggesting a shared genetic factor. On the other hand, CHIP and mCA could be directly protumorigenic via conferred disturbances of immune cell function.
When asked if both causal and noncausal factors could be at play, Dr. Jaiswal said, “yeah, absolutely.”
The presence of a causal association could be promising from a therapeutic standpoint.
“If it turns out that this association is driven by a direct causal effect of the mutations, perhaps related to immune cell function or dysfunction, then targeting that dysfunction could be a therapeutic path to improve outcomes in people, and there’s a lot of interest in this,” Dr. Jaiswal said. He went on to explain how a trial exploring this approach via interleukin-8 inhibition in lung cancer fell short.
Yet earlier intervention may still hold promise, according to experts.
“[This study] provokes the hypothesis that CH‐targeted interventions could potentially reduce cancer risk in the future,” Dr. Takahashi and Ms. Shah said in their editorial.
The WHI program is funded by the National Heart, Lung, and Blood Institute; National Institutes of Health; and the Department of Health & Human Services. The investigators disclosed relationships with Eli Lilly, AbbVie, Celgene, and others. Dr. Jaiswal reported stock equity in a company that has an interest in clonal hematopoiesis.
A version of this article first appeared on Medscape.com.
FROM CANCER
Study Indicates Skin Cancer Risk Elevated Among Veterans
TOPLINE:
METHODOLOGY:
- Researchers analyzed the prevalence and likelihood of skin cancer and other dermatologic conditions between veterans and nonveterans using national representative NHANES data collected over two decades (1999-2018).
- They included 61,307 participants, with 54,554 nonveterans (42.76% men; 65.78% non-Hispanic White individuals) and 6753 veterans (92.74% men; 80.42% non-Hispanic White individuals).
- A total of 54,991 participants (48,278 nonveterans and 6713 veterans) answered questions about their cancer history.
TAKEAWAY:
- Veterans had a higher prevalence of any skin cancer than nonveterans (9% vs 2.9%; P < .001). Specifically, the prevalence of melanoma (2.2% vs 0.6%), nonmelanoma skin cancer (5.1% vs 1.6%), and skin cancer of unknown subtype (2.2% vs 0.8%) was significantly higher in veterans (P < .001, for all).
- Veterans showed elevated risks for any skin cancer (odds ratio [OR], 1.72; 95% CI, 1.23-2.40), melanoma (OR, 2.27; 95% CI, 1.17-4.39), and nonmelanoma skin cancer (OR, 1.80; 95% CI, 1.17-2.78) after adjusting for demographic factors.
- Veterans also had a higher risk for psoriasis (OR, 1.61; 95% CI, 1.05-2.46), but not for eczema/dermatitis/inflamed rash in the previous 30 days anywhere on the body, although risk was significantly increased when localized to the arms.
- Veterans were more likely to spend time outdoors on workdays (OR, 1.22; 95% CI, 1.04-2.25) but their status did not differ significantly from that of nonveterans in sunscreen use or other sun protection behaviors. However, veterans had a 44%-45% (P < .05) increased risk for severe sunburn after brief sun exposure.
IN PRACTICE:
“Public health measures seeking to address veteran healthcare differences could emphasize primary preventive strategies to mitigate risk and early detection of dermatologic conditions through regular skin examinations,” the study authors concluded. An accompanying editorial noted that “dermatologists should be aware that veterans face higher skin cancer risks even after adjusting for demographic differences, potentially due at least in part, to occupational exposures.” In addition, the editorial authors wrote, “additional research is needed to identify and quantify the effects of UV and military toxic exposures on skin cancer risk among active duty service members.”
SOURCE:
The study was led by Shawheen J. Rezaei, MPhil, from the Department of Dermatology, Stanford University School of Medicine, Stanford, California, and was published online in JAMA Dermatology. The authors of the editorial are from the Departments of Dermatology at Brigham and Women’s Hospital, Boston, and Vanderbilt University, Nashville, Tennessee.
LIMITATIONS:
Skin cancer, psoriasis, and eczema/dermatitis were self-reported, and the predominance of older White men limited the generalizability of the findings.
DISCLOSURES:
The study was supported by Veterans Affairs (VA) Palo Alto Health Care System, Palo Alto, California, and Providence VA Medical Center, Providence, Rhode Island. The authors had no disclosures. The authors of the editorial disclosed receiving grants from the VA; one author’s disclosures included receiving personal fees from and being a scientific officer for Evereden, receiving grants and research funding from DermaSensor, and consulting for Oasis Pharmaceuticals and Almirall.
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:
METHODOLOGY:
- Researchers analyzed the prevalence and likelihood of skin cancer and other dermatologic conditions between veterans and nonveterans using national representative NHANES data collected over two decades (1999-2018).
- They included 61,307 participants, with 54,554 nonveterans (42.76% men; 65.78% non-Hispanic White individuals) and 6753 veterans (92.74% men; 80.42% non-Hispanic White individuals).
- A total of 54,991 participants (48,278 nonveterans and 6713 veterans) answered questions about their cancer history.
TAKEAWAY:
- Veterans had a higher prevalence of any skin cancer than nonveterans (9% vs 2.9%; P < .001). Specifically, the prevalence of melanoma (2.2% vs 0.6%), nonmelanoma skin cancer (5.1% vs 1.6%), and skin cancer of unknown subtype (2.2% vs 0.8%) was significantly higher in veterans (P < .001, for all).
- Veterans showed elevated risks for any skin cancer (odds ratio [OR], 1.72; 95% CI, 1.23-2.40), melanoma (OR, 2.27; 95% CI, 1.17-4.39), and nonmelanoma skin cancer (OR, 1.80; 95% CI, 1.17-2.78) after adjusting for demographic factors.
- Veterans also had a higher risk for psoriasis (OR, 1.61; 95% CI, 1.05-2.46), but not for eczema/dermatitis/inflamed rash in the previous 30 days anywhere on the body, although risk was significantly increased when localized to the arms.
- Veterans were more likely to spend time outdoors on workdays (OR, 1.22; 95% CI, 1.04-2.25) but their status did not differ significantly from that of nonveterans in sunscreen use or other sun protection behaviors. However, veterans had a 44%-45% (P < .05) increased risk for severe sunburn after brief sun exposure.
IN PRACTICE:
“Public health measures seeking to address veteran healthcare differences could emphasize primary preventive strategies to mitigate risk and early detection of dermatologic conditions through regular skin examinations,” the study authors concluded. An accompanying editorial noted that “dermatologists should be aware that veterans face higher skin cancer risks even after adjusting for demographic differences, potentially due at least in part, to occupational exposures.” In addition, the editorial authors wrote, “additional research is needed to identify and quantify the effects of UV and military toxic exposures on skin cancer risk among active duty service members.”
SOURCE:
The study was led by Shawheen J. Rezaei, MPhil, from the Department of Dermatology, Stanford University School of Medicine, Stanford, California, and was published online in JAMA Dermatology. The authors of the editorial are from the Departments of Dermatology at Brigham and Women’s Hospital, Boston, and Vanderbilt University, Nashville, Tennessee.
LIMITATIONS:
Skin cancer, psoriasis, and eczema/dermatitis were self-reported, and the predominance of older White men limited the generalizability of the findings.
DISCLOSURES:
The study was supported by Veterans Affairs (VA) Palo Alto Health Care System, Palo Alto, California, and Providence VA Medical Center, Providence, Rhode Island. The authors had no disclosures. The authors of the editorial disclosed receiving grants from the VA; one author’s disclosures included receiving personal fees from and being a scientific officer for Evereden, receiving grants and research funding from DermaSensor, and consulting for Oasis Pharmaceuticals and Almirall.
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:
METHODOLOGY:
- Researchers analyzed the prevalence and likelihood of skin cancer and other dermatologic conditions between veterans and nonveterans using national representative NHANES data collected over two decades (1999-2018).
- They included 61,307 participants, with 54,554 nonveterans (42.76% men; 65.78% non-Hispanic White individuals) and 6753 veterans (92.74% men; 80.42% non-Hispanic White individuals).
- A total of 54,991 participants (48,278 nonveterans and 6713 veterans) answered questions about their cancer history.
TAKEAWAY:
- Veterans had a higher prevalence of any skin cancer than nonveterans (9% vs 2.9%; P < .001). Specifically, the prevalence of melanoma (2.2% vs 0.6%), nonmelanoma skin cancer (5.1% vs 1.6%), and skin cancer of unknown subtype (2.2% vs 0.8%) was significantly higher in veterans (P < .001, for all).
- Veterans showed elevated risks for any skin cancer (odds ratio [OR], 1.72; 95% CI, 1.23-2.40), melanoma (OR, 2.27; 95% CI, 1.17-4.39), and nonmelanoma skin cancer (OR, 1.80; 95% CI, 1.17-2.78) after adjusting for demographic factors.
- Veterans also had a higher risk for psoriasis (OR, 1.61; 95% CI, 1.05-2.46), but not for eczema/dermatitis/inflamed rash in the previous 30 days anywhere on the body, although risk was significantly increased when localized to the arms.
- Veterans were more likely to spend time outdoors on workdays (OR, 1.22; 95% CI, 1.04-2.25) but their status did not differ significantly from that of nonveterans in sunscreen use or other sun protection behaviors. However, veterans had a 44%-45% (P < .05) increased risk for severe sunburn after brief sun exposure.
IN PRACTICE:
“Public health measures seeking to address veteran healthcare differences could emphasize primary preventive strategies to mitigate risk and early detection of dermatologic conditions through regular skin examinations,” the study authors concluded. An accompanying editorial noted that “dermatologists should be aware that veterans face higher skin cancer risks even after adjusting for demographic differences, potentially due at least in part, to occupational exposures.” In addition, the editorial authors wrote, “additional research is needed to identify and quantify the effects of UV and military toxic exposures on skin cancer risk among active duty service members.”
SOURCE:
The study was led by Shawheen J. Rezaei, MPhil, from the Department of Dermatology, Stanford University School of Medicine, Stanford, California, and was published online in JAMA Dermatology. The authors of the editorial are from the Departments of Dermatology at Brigham and Women’s Hospital, Boston, and Vanderbilt University, Nashville, Tennessee.
LIMITATIONS:
Skin cancer, psoriasis, and eczema/dermatitis were self-reported, and the predominance of older White men limited the generalizability of the findings.
DISCLOSURES:
The study was supported by Veterans Affairs (VA) Palo Alto Health Care System, Palo Alto, California, and Providence VA Medical Center, Providence, Rhode Island. The authors had no disclosures. The authors of the editorial disclosed receiving grants from the VA; one author’s disclosures included receiving personal fees from and being a scientific officer for Evereden, receiving grants and research funding from DermaSensor, and consulting for Oasis Pharmaceuticals and Almirall.
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.
Cancer Cases, Deaths in Men Predicted to Surge by 2050
TOPLINE:
— with substantial disparities in cancer cases and deaths by age and region of the world, a recent analysis found.
METHODOLOGY:
- Overall, men have higher cancer incidence and mortality rates, which can be largely attributed to a higher prevalence of modifiable risk factors such as smoking, alcohol consumption, and occupational carcinogens, as well as the underuse of cancer prevention, screening, and treatment services.
- To assess the burden of cancer in men of different ages and from different regions of the world, researchers analyzed data from the 2022 Global Cancer Observatory (GLOBOCAN), which provides national-level estimates for cancer cases and deaths.
- Study outcomes included the incidence, mortality, and prevalence of cancer among men in 2022, along with projections for 2050. Estimates were stratified by several factors, including age; region; and Human Development Index (HDI), a composite score for health, education, and standard of living.
- Researchers also calculated mortality-to-incidence ratios (MIRs) for various cancer types, where higher values indicate worse survival.
TAKEAWAY:
- The researchers reported an estimated 10.3 million cancer cases and 5.4 million deaths globally in 2022, with almost two thirds of cases and deaths occurring in men aged 65 years or older.
- By 2050, cancer cases and deaths were projected to increase by 84.3% (to 19 million) and 93.2% (to 10.5 million), respectively. The increase from 2022 to 2050 was more than twofold higher for older men and countries with low and medium HDI.
- In 2022, the estimated global cancer MIR among men was nearly 55%, with variations by cancer types, age, and HDI. The MIR was lowest for thyroid cancer (7.6%) and highest for pancreatic cancer (90.9%); among World Health Organization regions, Africa had the highest MIR (72.6%), while the Americas had the lowest MIR (39.1%); countries with the lowest HDI had the highest MIR (73.5% vs 41.1% for very high HDI).
- Lung cancer was the leading cause for cases and deaths in 2022 and was projected to remain the leading cause in 2050.
IN PRACTICE:
“Disparities in cancer incidence and mortality among men were observed across age groups, countries/territories, and HDI in 2022, with these disparities projected to widen further by 2050,” according to the authors, who called for efforts to “reduce disparities in cancer burden and ensure equity in cancer prevention and care for men across the globe.”
SOURCE:
The study, led by Habtamu Mellie Bizuayehu, PhD, School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia, was published online in Cancer.
LIMITATIONS:
The findings may be influenced by the quality of GLOBOCAN data. Interpretation should be cautious as MIR may not fully reflect cancer outcome inequalities. The study did not include other measures of cancer burden, such as years of life lost or years lived with disability, which were unavailable from the data source.
DISCLOSURES:
The authors did not disclose any funding information. The authors declared 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:
— with substantial disparities in cancer cases and deaths by age and region of the world, a recent analysis found.
METHODOLOGY:
- Overall, men have higher cancer incidence and mortality rates, which can be largely attributed to a higher prevalence of modifiable risk factors such as smoking, alcohol consumption, and occupational carcinogens, as well as the underuse of cancer prevention, screening, and treatment services.
- To assess the burden of cancer in men of different ages and from different regions of the world, researchers analyzed data from the 2022 Global Cancer Observatory (GLOBOCAN), which provides national-level estimates for cancer cases and deaths.
- Study outcomes included the incidence, mortality, and prevalence of cancer among men in 2022, along with projections for 2050. Estimates were stratified by several factors, including age; region; and Human Development Index (HDI), a composite score for health, education, and standard of living.
- Researchers also calculated mortality-to-incidence ratios (MIRs) for various cancer types, where higher values indicate worse survival.
TAKEAWAY:
- The researchers reported an estimated 10.3 million cancer cases and 5.4 million deaths globally in 2022, with almost two thirds of cases and deaths occurring in men aged 65 years or older.
- By 2050, cancer cases and deaths were projected to increase by 84.3% (to 19 million) and 93.2% (to 10.5 million), respectively. The increase from 2022 to 2050 was more than twofold higher for older men and countries with low and medium HDI.
- In 2022, the estimated global cancer MIR among men was nearly 55%, with variations by cancer types, age, and HDI. The MIR was lowest for thyroid cancer (7.6%) and highest for pancreatic cancer (90.9%); among World Health Organization regions, Africa had the highest MIR (72.6%), while the Americas had the lowest MIR (39.1%); countries with the lowest HDI had the highest MIR (73.5% vs 41.1% for very high HDI).
- Lung cancer was the leading cause for cases and deaths in 2022 and was projected to remain the leading cause in 2050.
IN PRACTICE:
“Disparities in cancer incidence and mortality among men were observed across age groups, countries/territories, and HDI in 2022, with these disparities projected to widen further by 2050,” according to the authors, who called for efforts to “reduce disparities in cancer burden and ensure equity in cancer prevention and care for men across the globe.”
SOURCE:
The study, led by Habtamu Mellie Bizuayehu, PhD, School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia, was published online in Cancer.
LIMITATIONS:
The findings may be influenced by the quality of GLOBOCAN data. Interpretation should be cautious as MIR may not fully reflect cancer outcome inequalities. The study did not include other measures of cancer burden, such as years of life lost or years lived with disability, which were unavailable from the data source.
DISCLOSURES:
The authors did not disclose any funding information. The authors declared 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:
— with substantial disparities in cancer cases and deaths by age and region of the world, a recent analysis found.
METHODOLOGY:
- Overall, men have higher cancer incidence and mortality rates, which can be largely attributed to a higher prevalence of modifiable risk factors such as smoking, alcohol consumption, and occupational carcinogens, as well as the underuse of cancer prevention, screening, and treatment services.
- To assess the burden of cancer in men of different ages and from different regions of the world, researchers analyzed data from the 2022 Global Cancer Observatory (GLOBOCAN), which provides national-level estimates for cancer cases and deaths.
- Study outcomes included the incidence, mortality, and prevalence of cancer among men in 2022, along with projections for 2050. Estimates were stratified by several factors, including age; region; and Human Development Index (HDI), a composite score for health, education, and standard of living.
- Researchers also calculated mortality-to-incidence ratios (MIRs) for various cancer types, where higher values indicate worse survival.
TAKEAWAY:
- The researchers reported an estimated 10.3 million cancer cases and 5.4 million deaths globally in 2022, with almost two thirds of cases and deaths occurring in men aged 65 years or older.
- By 2050, cancer cases and deaths were projected to increase by 84.3% (to 19 million) and 93.2% (to 10.5 million), respectively. The increase from 2022 to 2050 was more than twofold higher for older men and countries with low and medium HDI.
- In 2022, the estimated global cancer MIR among men was nearly 55%, with variations by cancer types, age, and HDI. The MIR was lowest for thyroid cancer (7.6%) and highest for pancreatic cancer (90.9%); among World Health Organization regions, Africa had the highest MIR (72.6%), while the Americas had the lowest MIR (39.1%); countries with the lowest HDI had the highest MIR (73.5% vs 41.1% for very high HDI).
- Lung cancer was the leading cause for cases and deaths in 2022 and was projected to remain the leading cause in 2050.
IN PRACTICE:
“Disparities in cancer incidence and mortality among men were observed across age groups, countries/territories, and HDI in 2022, with these disparities projected to widen further by 2050,” according to the authors, who called for efforts to “reduce disparities in cancer burden and ensure equity in cancer prevention and care for men across the globe.”
SOURCE:
The study, led by Habtamu Mellie Bizuayehu, PhD, School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia, was published online in Cancer.
LIMITATIONS:
The findings may be influenced by the quality of GLOBOCAN data. Interpretation should be cautious as MIR may not fully reflect cancer outcome inequalities. The study did not include other measures of cancer burden, such as years of life lost or years lived with disability, which were unavailable from the data source.
DISCLOSURES:
The authors did not disclose any funding information. The authors declared 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.
Cancer Treatment 101: A Primer for Non-Oncologists
The remaining 700,000 or so often proceed to chemotherapy either immediately or upon cancer recurrence, spread, or newly recognized metastases. “Cures” after that point are rare.
I’m speaking in generalities, understanding that each cancer and each patient is unique.
Chemotherapy
Chemotherapy alone can cure a small number of cancer types. When added to radiation or surgery, chemotherapy can help to cure a wider range of cancer types. As an add-on, chemotherapy can extend the length and quality of life for many patients with cancer. Since chemotherapy is by definition “toxic,” it can also shorten the duration or harm the quality of life and provide false hope. The Table summarizes what chemotherapy can and cannot achieve in selected cancer types.
Careful, compassionate communication between patient and physician is key. Goals and expectations must be clearly understood.
Organized chemotherapeutic efforts are further categorized as first line, second line, and third line.
First-line treatment. The initial round of recommended chemotherapy for a specific cancer. It is typically considered the most effective treatment for that type and stage of cancer on the basis of current research and clinical trials.
Second-line treatment. This is the treatment used if the first-line chemotherapy doesn’t work as desired. Reasons to switch to second-line chemo include:
- Lack of response (the tumor failed to shrink).
- Progression (the cancer may have grown or spread further).
- Adverse side effects were too severe to continue.
The drugs used in second-line chemo will typically be different from those used in first line, sometimes because cancer cells can develop resistance to chemotherapy drugs over time. Moreover, the goal of second-line chemo may differ from that of first-line therapy. Rather than chiefly aiming for a cure, second-line treatment might focus on slowing cancer growth, managing symptoms, or improving quality of life. Unfortunately, not every type of cancer has a readily available second-line option.
Third-line treatment. Third-line options come into play when both the initial course of chemo (first line) and the subsequent treatment (second line) have failed to achieve remission or control the cancer’s spread. Owing to the progressive nature of advanced cancers, patients might not be eligible or healthy enough for third-line therapy. Depending on cancer type, the patient’s general health, and response to previous treatments, third-line options could include:
- New or different chemotherapy drugs compared with prior lines.
- Surgery to debulk the tumor.
- Radiation for symptom control.
- Targeted therapy: drugs designed to target specific vulnerabilities in cancer cells.
- Immunotherapy: agents that help the body’s immune system fight cancer cells.
- Clinical trials testing new or investigational treatments, which may be applicable at any time, depending on the questions being addressed.
The goals of third-line therapy may shift from aiming for a cure to managing symptoms, improving quality of life, and potentially slowing cancer growth. The decision to pursue third-line therapy involves careful consideration by the doctor and patient, weighing the potential benefits and risks of treatment considering the individual’s overall health and specific situation.
It’s important to have realistic expectations about the potential outcomes of third-line therapy. Although remission may be unlikely, third-line therapy can still play a role in managing the disease.
Navigating advanced cancer treatment is very complex. The patient and physician must together consider detailed explanations and clarifications to set expectations and make informed decisions about care.
Interventions to Consider Earlier
In traditional clinical oncology practice, other interventions are possible, but these may not be offered until treatment has reached the third line:
- Molecular testing.
- Palliation.
- Clinical trials.
- Innovative testing to guide targeted therapy by ascertaining which agents are most likely (or not likely at all) to be effective.
I would argue that the patient’s interests are better served by considering and offering these other interventions much earlier, even before starting first-line chemotherapy.
Molecular testing. The best time for molecular testing of a new malignant tumor is typically at the time of diagnosis. Here’s why:
- Molecular testing helps identify specific genetic mutations in the cancer cells. This information can be crucial for selecting targeted therapies that are most effective against those specific mutations. Early detection allows for the most treatment options. For example, for non–small cell lung cancer, early is best because treatment and outcomes may well be changed by test results.
- Knowing the tumor’s molecular makeup can help determine whether a patient qualifies for clinical trials of new drugs designed for specific mutations.
- Some molecular markers can offer information about the tumor’s aggressiveness and potential for metastasis so that prognosis can be informed.
Molecular testing can be a valuable tool throughout a cancer patient’s journey. With genetically diverse tumors, the initial biopsy might not capture the full picture. Molecular testing of circulating tumor DNA can be used to monitor a patient’s response to treatment and detect potential mutations that might arise during treatment resistance. Retesting after metastasis can provide additional information that can aid in treatment decisions.
Palliative care. The ideal time to discuss palliative care with a patient with cancer is early in the diagnosis and treatment process. Palliative care is not the same as hospice care; it isn’t just about end-of-life. Palliative care focuses on improving a patient’s quality of life throughout cancer treatment. Palliative care specialists can address a wide range of symptoms a patient might experience from cancer or its treatment, including pain, fatigue, nausea, and anxiety.
Early discussions allow for a more comprehensive care plan. Open communication about all treatment options, including palliative care, empowers patients to make informed decisions about their care goals and preferences.
Specific situations where discussing palliative care might be appropriate are:
- Soon after a cancer diagnosis.
- If the patient experiences significant side effects from cancer treatment.
- When considering different treatment options, palliative care can complement those treatments.
- In advanced stages of cancer, to focus on comfort and quality of life.
Clinical trials. Participation in a clinical trial to explore new or investigational treatments should always be considered.
In theory, clinical trials should be an option at any time in the patient’s course. But the organized clinical trial experience may not be available or appropriate. Then, the individual becomes a de facto “clinical trial with an n of 1.” Read this brief open-access blog post at Cancer Commons to learn more about that circumstance.
Innovative testing. The best choice of chemotherapeutic or targeted therapies is often unclear. The clinician is likely to follow published guidelines, often from the National Comprehensive Cancer Network.
These are evidence based and driven by consensus of experts. But guideline-recommended therapy is not always effective, and weeks or months can pass before this ineffectiveness becomes apparent. Thus, many researchers and companies are seeking methods of testing each patient’s specific cancer to determine in advance, or very quickly, whether a particular drug is likely to be effective.
Read more about these leading innovations:
SAGE Oncotest: Entering the Next Generation of Tailored Cancer Treatment
Alibrex: A New Blood Test to Reveal Whether a Cancer Treatment is Working
PARIS Test Uses Lab-Grown Mini-Tumors to Find a Patient’s Best Treatment
Using Live Cells from Patients to Find the Right Cancer Drug
Other innovative therapies under investigation could even be agnostic to cancer type:
Treating Pancreatic Cancer: Could Metabolism — Not Genomics — Be the Key?
High-Energy Blue Light Powers a Promising New Treatment to Destroy Cancer Cells
All-Clear Follow-Up: Hydrogen Peroxide Appears to Treat Oral and Skin Lesions
Cancer is a tough nut to crack. Many people and organizations are trying very hard. So much is being learned. Some approaches will be effective. We can all hope.
Dr. Lundberg, editor in chief, Cancer Commons, has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
The remaining 700,000 or so often proceed to chemotherapy either immediately or upon cancer recurrence, spread, or newly recognized metastases. “Cures” after that point are rare.
I’m speaking in generalities, understanding that each cancer and each patient is unique.
Chemotherapy
Chemotherapy alone can cure a small number of cancer types. When added to radiation or surgery, chemotherapy can help to cure a wider range of cancer types. As an add-on, chemotherapy can extend the length and quality of life for many patients with cancer. Since chemotherapy is by definition “toxic,” it can also shorten the duration or harm the quality of life and provide false hope. The Table summarizes what chemotherapy can and cannot achieve in selected cancer types.
Careful, compassionate communication between patient and physician is key. Goals and expectations must be clearly understood.
Organized chemotherapeutic efforts are further categorized as first line, second line, and third line.
First-line treatment. The initial round of recommended chemotherapy for a specific cancer. It is typically considered the most effective treatment for that type and stage of cancer on the basis of current research and clinical trials.
Second-line treatment. This is the treatment used if the first-line chemotherapy doesn’t work as desired. Reasons to switch to second-line chemo include:
- Lack of response (the tumor failed to shrink).
- Progression (the cancer may have grown or spread further).
- Adverse side effects were too severe to continue.
The drugs used in second-line chemo will typically be different from those used in first line, sometimes because cancer cells can develop resistance to chemotherapy drugs over time. Moreover, the goal of second-line chemo may differ from that of first-line therapy. Rather than chiefly aiming for a cure, second-line treatment might focus on slowing cancer growth, managing symptoms, or improving quality of life. Unfortunately, not every type of cancer has a readily available second-line option.
Third-line treatment. Third-line options come into play when both the initial course of chemo (first line) and the subsequent treatment (second line) have failed to achieve remission or control the cancer’s spread. Owing to the progressive nature of advanced cancers, patients might not be eligible or healthy enough for third-line therapy. Depending on cancer type, the patient’s general health, and response to previous treatments, third-line options could include:
- New or different chemotherapy drugs compared with prior lines.
- Surgery to debulk the tumor.
- Radiation for symptom control.
- Targeted therapy: drugs designed to target specific vulnerabilities in cancer cells.
- Immunotherapy: agents that help the body’s immune system fight cancer cells.
- Clinical trials testing new or investigational treatments, which may be applicable at any time, depending on the questions being addressed.
The goals of third-line therapy may shift from aiming for a cure to managing symptoms, improving quality of life, and potentially slowing cancer growth. The decision to pursue third-line therapy involves careful consideration by the doctor and patient, weighing the potential benefits and risks of treatment considering the individual’s overall health and specific situation.
It’s important to have realistic expectations about the potential outcomes of third-line therapy. Although remission may be unlikely, third-line therapy can still play a role in managing the disease.
Navigating advanced cancer treatment is very complex. The patient and physician must together consider detailed explanations and clarifications to set expectations and make informed decisions about care.
Interventions to Consider Earlier
In traditional clinical oncology practice, other interventions are possible, but these may not be offered until treatment has reached the third line:
- Molecular testing.
- Palliation.
- Clinical trials.
- Innovative testing to guide targeted therapy by ascertaining which agents are most likely (or not likely at all) to be effective.
I would argue that the patient’s interests are better served by considering and offering these other interventions much earlier, even before starting first-line chemotherapy.
Molecular testing. The best time for molecular testing of a new malignant tumor is typically at the time of diagnosis. Here’s why:
- Molecular testing helps identify specific genetic mutations in the cancer cells. This information can be crucial for selecting targeted therapies that are most effective against those specific mutations. Early detection allows for the most treatment options. For example, for non–small cell lung cancer, early is best because treatment and outcomes may well be changed by test results.
- Knowing the tumor’s molecular makeup can help determine whether a patient qualifies for clinical trials of new drugs designed for specific mutations.
- Some molecular markers can offer information about the tumor’s aggressiveness and potential for metastasis so that prognosis can be informed.
Molecular testing can be a valuable tool throughout a cancer patient’s journey. With genetically diverse tumors, the initial biopsy might not capture the full picture. Molecular testing of circulating tumor DNA can be used to monitor a patient’s response to treatment and detect potential mutations that might arise during treatment resistance. Retesting after metastasis can provide additional information that can aid in treatment decisions.
Palliative care. The ideal time to discuss palliative care with a patient with cancer is early in the diagnosis and treatment process. Palliative care is not the same as hospice care; it isn’t just about end-of-life. Palliative care focuses on improving a patient’s quality of life throughout cancer treatment. Palliative care specialists can address a wide range of symptoms a patient might experience from cancer or its treatment, including pain, fatigue, nausea, and anxiety.
Early discussions allow for a more comprehensive care plan. Open communication about all treatment options, including palliative care, empowers patients to make informed decisions about their care goals and preferences.
Specific situations where discussing palliative care might be appropriate are:
- Soon after a cancer diagnosis.
- If the patient experiences significant side effects from cancer treatment.
- When considering different treatment options, palliative care can complement those treatments.
- In advanced stages of cancer, to focus on comfort and quality of life.
Clinical trials. Participation in a clinical trial to explore new or investigational treatments should always be considered.
In theory, clinical trials should be an option at any time in the patient’s course. But the organized clinical trial experience may not be available or appropriate. Then, the individual becomes a de facto “clinical trial with an n of 1.” Read this brief open-access blog post at Cancer Commons to learn more about that circumstance.
Innovative testing. The best choice of chemotherapeutic or targeted therapies is often unclear. The clinician is likely to follow published guidelines, often from the National Comprehensive Cancer Network.
These are evidence based and driven by consensus of experts. But guideline-recommended therapy is not always effective, and weeks or months can pass before this ineffectiveness becomes apparent. Thus, many researchers and companies are seeking methods of testing each patient’s specific cancer to determine in advance, or very quickly, whether a particular drug is likely to be effective.
Read more about these leading innovations:
SAGE Oncotest: Entering the Next Generation of Tailored Cancer Treatment
Alibrex: A New Blood Test to Reveal Whether a Cancer Treatment is Working
PARIS Test Uses Lab-Grown Mini-Tumors to Find a Patient’s Best Treatment
Using Live Cells from Patients to Find the Right Cancer Drug
Other innovative therapies under investigation could even be agnostic to cancer type:
Treating Pancreatic Cancer: Could Metabolism — Not Genomics — Be the Key?
High-Energy Blue Light Powers a Promising New Treatment to Destroy Cancer Cells
All-Clear Follow-Up: Hydrogen Peroxide Appears to Treat Oral and Skin Lesions
Cancer is a tough nut to crack. Many people and organizations are trying very hard. So much is being learned. Some approaches will be effective. We can all hope.
Dr. Lundberg, editor in chief, Cancer Commons, has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
The remaining 700,000 or so often proceed to chemotherapy either immediately or upon cancer recurrence, spread, or newly recognized metastases. “Cures” after that point are rare.
I’m speaking in generalities, understanding that each cancer and each patient is unique.
Chemotherapy
Chemotherapy alone can cure a small number of cancer types. When added to radiation or surgery, chemotherapy can help to cure a wider range of cancer types. As an add-on, chemotherapy can extend the length and quality of life for many patients with cancer. Since chemotherapy is by definition “toxic,” it can also shorten the duration or harm the quality of life and provide false hope. The Table summarizes what chemotherapy can and cannot achieve in selected cancer types.
Careful, compassionate communication between patient and physician is key. Goals and expectations must be clearly understood.
Organized chemotherapeutic efforts are further categorized as first line, second line, and third line.
First-line treatment. The initial round of recommended chemotherapy for a specific cancer. It is typically considered the most effective treatment for that type and stage of cancer on the basis of current research and clinical trials.
Second-line treatment. This is the treatment used if the first-line chemotherapy doesn’t work as desired. Reasons to switch to second-line chemo include:
- Lack of response (the tumor failed to shrink).
- Progression (the cancer may have grown or spread further).
- Adverse side effects were too severe to continue.
The drugs used in second-line chemo will typically be different from those used in first line, sometimes because cancer cells can develop resistance to chemotherapy drugs over time. Moreover, the goal of second-line chemo may differ from that of first-line therapy. Rather than chiefly aiming for a cure, second-line treatment might focus on slowing cancer growth, managing symptoms, or improving quality of life. Unfortunately, not every type of cancer has a readily available second-line option.
Third-line treatment. Third-line options come into play when both the initial course of chemo (first line) and the subsequent treatment (second line) have failed to achieve remission or control the cancer’s spread. Owing to the progressive nature of advanced cancers, patients might not be eligible or healthy enough for third-line therapy. Depending on cancer type, the patient’s general health, and response to previous treatments, third-line options could include:
- New or different chemotherapy drugs compared with prior lines.
- Surgery to debulk the tumor.
- Radiation for symptom control.
- Targeted therapy: drugs designed to target specific vulnerabilities in cancer cells.
- Immunotherapy: agents that help the body’s immune system fight cancer cells.
- Clinical trials testing new or investigational treatments, which may be applicable at any time, depending on the questions being addressed.
The goals of third-line therapy may shift from aiming for a cure to managing symptoms, improving quality of life, and potentially slowing cancer growth. The decision to pursue third-line therapy involves careful consideration by the doctor and patient, weighing the potential benefits and risks of treatment considering the individual’s overall health and specific situation.
It’s important to have realistic expectations about the potential outcomes of third-line therapy. Although remission may be unlikely, third-line therapy can still play a role in managing the disease.
Navigating advanced cancer treatment is very complex. The patient and physician must together consider detailed explanations and clarifications to set expectations and make informed decisions about care.
Interventions to Consider Earlier
In traditional clinical oncology practice, other interventions are possible, but these may not be offered until treatment has reached the third line:
- Molecular testing.
- Palliation.
- Clinical trials.
- Innovative testing to guide targeted therapy by ascertaining which agents are most likely (or not likely at all) to be effective.
I would argue that the patient’s interests are better served by considering and offering these other interventions much earlier, even before starting first-line chemotherapy.
Molecular testing. The best time for molecular testing of a new malignant tumor is typically at the time of diagnosis. Here’s why:
- Molecular testing helps identify specific genetic mutations in the cancer cells. This information can be crucial for selecting targeted therapies that are most effective against those specific mutations. Early detection allows for the most treatment options. For example, for non–small cell lung cancer, early is best because treatment and outcomes may well be changed by test results.
- Knowing the tumor’s molecular makeup can help determine whether a patient qualifies for clinical trials of new drugs designed for specific mutations.
- Some molecular markers can offer information about the tumor’s aggressiveness and potential for metastasis so that prognosis can be informed.
Molecular testing can be a valuable tool throughout a cancer patient’s journey. With genetically diverse tumors, the initial biopsy might not capture the full picture. Molecular testing of circulating tumor DNA can be used to monitor a patient’s response to treatment and detect potential mutations that might arise during treatment resistance. Retesting after metastasis can provide additional information that can aid in treatment decisions.
Palliative care. The ideal time to discuss palliative care with a patient with cancer is early in the diagnosis and treatment process. Palliative care is not the same as hospice care; it isn’t just about end-of-life. Palliative care focuses on improving a patient’s quality of life throughout cancer treatment. Palliative care specialists can address a wide range of symptoms a patient might experience from cancer or its treatment, including pain, fatigue, nausea, and anxiety.
Early discussions allow for a more comprehensive care plan. Open communication about all treatment options, including palliative care, empowers patients to make informed decisions about their care goals and preferences.
Specific situations where discussing palliative care might be appropriate are:
- Soon after a cancer diagnosis.
- If the patient experiences significant side effects from cancer treatment.
- When considering different treatment options, palliative care can complement those treatments.
- In advanced stages of cancer, to focus on comfort and quality of life.
Clinical trials. Participation in a clinical trial to explore new or investigational treatments should always be considered.
In theory, clinical trials should be an option at any time in the patient’s course. But the organized clinical trial experience may not be available or appropriate. Then, the individual becomes a de facto “clinical trial with an n of 1.” Read this brief open-access blog post at Cancer Commons to learn more about that circumstance.
Innovative testing. The best choice of chemotherapeutic or targeted therapies is often unclear. The clinician is likely to follow published guidelines, often from the National Comprehensive Cancer Network.
These are evidence based and driven by consensus of experts. But guideline-recommended therapy is not always effective, and weeks or months can pass before this ineffectiveness becomes apparent. Thus, many researchers and companies are seeking methods of testing each patient’s specific cancer to determine in advance, or very quickly, whether a particular drug is likely to be effective.
Read more about these leading innovations:
SAGE Oncotest: Entering the Next Generation of Tailored Cancer Treatment
Alibrex: A New Blood Test to Reveal Whether a Cancer Treatment is Working
PARIS Test Uses Lab-Grown Mini-Tumors to Find a Patient’s Best Treatment
Using Live Cells from Patients to Find the Right Cancer Drug
Other innovative therapies under investigation could even be agnostic to cancer type:
Treating Pancreatic Cancer: Could Metabolism — Not Genomics — Be the Key?
High-Energy Blue Light Powers a Promising New Treatment to Destroy Cancer Cells
All-Clear Follow-Up: Hydrogen Peroxide Appears to Treat Oral and Skin Lesions
Cancer is a tough nut to crack. Many people and organizations are trying very hard. So much is being learned. Some approaches will be effective. We can all hope.
Dr. Lundberg, editor in chief, Cancer Commons, has disclosed no relevant financial relationships.
A version of this article appeared on Medscape.com.
When Childhood Cancer Survivors Face Sexual Challenges
Childhood cancers represent a diverse group of neoplasms, and thanks to advances in treatment, survival rates have improved significantly. Today, more than 80%-85% of children diagnosed with cancer in developed countries survive into adulthood.
This increase in survival has brought new challenges, however. Compared with the general population, childhood cancer survivors (CCS) are at a notably higher risk for early mortality, developing secondary cancers, and experiencing various long-term clinical and psychosocial issues stemming from their disease or its treatment.
Long-term follow-up care for CCS is a complex and evolving field. Despite ongoing efforts to establish global and national guidelines, current evidence indicates that the care and management of these patients remain suboptimal.
The disruptions caused by cancer and its treatment can interfere with normal physiological and psychological development, leading to issues with sexual function. This aspect of health is critical as it influences not just physical well-being but also psychosocial, developmental, and emotional health.
Characteristics and Mechanisms
Sexual functioning encompasses the physiological and psychological aspects of sexual behavior, including desire, arousal, orgasm, sexual pleasure, and overall satisfaction.
As CCS reach adolescence or adulthood, they often face sexual and reproductive issues, particularly as they enter romantic relationships.
Sexual functioning is a complex process that relies on the interaction of various factors, including physiological health, psychosexual development, romantic relationships, body image, and desire.
Despite its importance, the impact of childhood cancer on sexual function is often overlooked, even though cancer and its treatments can have lifelong effects.
Sexual Function in CCS
A recent review aimed to summarize the existing research on sexual function among CCS, highlighting assessment tools, key stages of psychosexual development, common sexual problems, and the prevalence of sexual dysfunction.
The review study included 22 studies published between 2000 and 2022, comprising two qualitative, six cohort, and 14 cross-sectional studies.
Most CCS reached all key stages of psychosexual development at an average age of 29.8 years. Although some milestones were achieved later than is typical, many survivors felt they reached these stages at the appropriate time. Sexual initiation was less common among those who had undergone intensive neurotoxic treatments, such as those diagnosed with brain tumors or leukemia in childhood.
In a cross-sectional study of CCS aged 17-39 years, about one third had never engaged in sexual intercourse, 41.4% reported never experiencing sexual attraction, 44.8% were dissatisfied with their sex lives, and many rarely felt sexually attractive to others. Another study found that common issues among CCS included a lack of interest in sex (30%), difficulty enjoying sex (24%), and difficulty becoming aroused (23%). However, comparing and analyzing these problems was challenging due to the lack of standardized assessment criteria.
The prevalence of sexual dysfunction among CCS ranged from 12.3% to 46.5%. For males, the prevalence ranged from 12.3% to 54.0%, while for females, it ranged from 19.9% to 57.0%.
Factors Influencing Sexual Function
The review identified the following four categories of factors influencing sexual function in CCS: Demographic, treatment-related, psychological, and physiological.
Demographic factors: Gender, age, education level, relationship status, income level, and race all play roles in sexual function.
Female survivors reported more severe sexual dysfunction and poorer sexual health than did male survivors. Age at cancer diagnosis, age at evaluation, and the time since diagnosis were closely linked to sexual experiences. Patients diagnosed with cancer during childhood tended to report better sexual function than those diagnosed during adolescence.
Treatment-related factors: The type of cancer and intensity of treatment, along with surgical history, were significant factors. Surgeries involving the spinal cord or sympathetic nerves, as well as a history of prostate or pelvic surgery, were strongly associated with erectile dysfunction in men. In women, pelvic surgeries and treatments to the pelvic area were commonly linked to sexual dysfunction.
The association between treatment intensity and sexual function was noted across several studies, although the results were not always consistent. For example, testicular radiation above 10 Gy was positively correlated with sexual dysfunction. Women who underwent more intensive treatments were more likely to report issues in multiple areas of sexual function, while men in this group were less likely to have children.
Among female CCS, certain types of cancer, such as germ cell tumors, renal tumors, and leukemia, present a higher risk for sexual dysfunction. Women who had CNS tumors in childhood frequently reported problems like difficulty in sexual arousal, low sexual satisfaction, infrequent sexual activity, and fewer sexual partners, compared with survivors of other cancers. Survivors of acute lymphoblastic leukemia and those who underwent hematopoietic stem cell transplantation (HSCT) also showed varying degrees of impaired sexual function, compared with the general population. The HSCT group showed significant testicular damage, including reduced testicular volumes, low testosterone levels, and low sperm counts.
Psychological factors: These factors, such as emotional distress, play a significant role in sexual dysfunction among CCS. Symptoms like anxiety, nervousness during sexual activity, and depression are commonly reported by those with sexual dysfunction. The connection between body image and sexual function is complex. Many CCS with sexual dysfunction express concern about how others, particularly their partners, perceived their altered body image due to cancer and its treatment.
Physiological factors: In male CCS, low serum testosterone levels and low lean muscle mass are linked to an increased risk for sexual dysfunction. Treatments involving alkylating agents or testicular radiation, and surgery or radiotherapy targeting the genitourinary organs or the hypothalamic-pituitary region, can lead to various physiological and endocrine disorders, contributing to sexual dysfunction. Despite these risks, there is a lack of research evaluating sexual function through the lens of the hypothalamic-pituitary-gonadal axis and neuroendocrine pathways.
This story was translated from Univadis Italy using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.
Childhood cancers represent a diverse group of neoplasms, and thanks to advances in treatment, survival rates have improved significantly. Today, more than 80%-85% of children diagnosed with cancer in developed countries survive into adulthood.
This increase in survival has brought new challenges, however. Compared with the general population, childhood cancer survivors (CCS) are at a notably higher risk for early mortality, developing secondary cancers, and experiencing various long-term clinical and psychosocial issues stemming from their disease or its treatment.
Long-term follow-up care for CCS is a complex and evolving field. Despite ongoing efforts to establish global and national guidelines, current evidence indicates that the care and management of these patients remain suboptimal.
The disruptions caused by cancer and its treatment can interfere with normal physiological and psychological development, leading to issues with sexual function. This aspect of health is critical as it influences not just physical well-being but also psychosocial, developmental, and emotional health.
Characteristics and Mechanisms
Sexual functioning encompasses the physiological and psychological aspects of sexual behavior, including desire, arousal, orgasm, sexual pleasure, and overall satisfaction.
As CCS reach adolescence or adulthood, they often face sexual and reproductive issues, particularly as they enter romantic relationships.
Sexual functioning is a complex process that relies on the interaction of various factors, including physiological health, psychosexual development, romantic relationships, body image, and desire.
Despite its importance, the impact of childhood cancer on sexual function is often overlooked, even though cancer and its treatments can have lifelong effects.
Sexual Function in CCS
A recent review aimed to summarize the existing research on sexual function among CCS, highlighting assessment tools, key stages of psychosexual development, common sexual problems, and the prevalence of sexual dysfunction.
The review study included 22 studies published between 2000 and 2022, comprising two qualitative, six cohort, and 14 cross-sectional studies.
Most CCS reached all key stages of psychosexual development at an average age of 29.8 years. Although some milestones were achieved later than is typical, many survivors felt they reached these stages at the appropriate time. Sexual initiation was less common among those who had undergone intensive neurotoxic treatments, such as those diagnosed with brain tumors or leukemia in childhood.
In a cross-sectional study of CCS aged 17-39 years, about one third had never engaged in sexual intercourse, 41.4% reported never experiencing sexual attraction, 44.8% were dissatisfied with their sex lives, and many rarely felt sexually attractive to others. Another study found that common issues among CCS included a lack of interest in sex (30%), difficulty enjoying sex (24%), and difficulty becoming aroused (23%). However, comparing and analyzing these problems was challenging due to the lack of standardized assessment criteria.
The prevalence of sexual dysfunction among CCS ranged from 12.3% to 46.5%. For males, the prevalence ranged from 12.3% to 54.0%, while for females, it ranged from 19.9% to 57.0%.
Factors Influencing Sexual Function
The review identified the following four categories of factors influencing sexual function in CCS: Demographic, treatment-related, psychological, and physiological.
Demographic factors: Gender, age, education level, relationship status, income level, and race all play roles in sexual function.
Female survivors reported more severe sexual dysfunction and poorer sexual health than did male survivors. Age at cancer diagnosis, age at evaluation, and the time since diagnosis were closely linked to sexual experiences. Patients diagnosed with cancer during childhood tended to report better sexual function than those diagnosed during adolescence.
Treatment-related factors: The type of cancer and intensity of treatment, along with surgical history, were significant factors. Surgeries involving the spinal cord or sympathetic nerves, as well as a history of prostate or pelvic surgery, were strongly associated with erectile dysfunction in men. In women, pelvic surgeries and treatments to the pelvic area were commonly linked to sexual dysfunction.
The association between treatment intensity and sexual function was noted across several studies, although the results were not always consistent. For example, testicular radiation above 10 Gy was positively correlated with sexual dysfunction. Women who underwent more intensive treatments were more likely to report issues in multiple areas of sexual function, while men in this group were less likely to have children.
Among female CCS, certain types of cancer, such as germ cell tumors, renal tumors, and leukemia, present a higher risk for sexual dysfunction. Women who had CNS tumors in childhood frequently reported problems like difficulty in sexual arousal, low sexual satisfaction, infrequent sexual activity, and fewer sexual partners, compared with survivors of other cancers. Survivors of acute lymphoblastic leukemia and those who underwent hematopoietic stem cell transplantation (HSCT) also showed varying degrees of impaired sexual function, compared with the general population. The HSCT group showed significant testicular damage, including reduced testicular volumes, low testosterone levels, and low sperm counts.
Psychological factors: These factors, such as emotional distress, play a significant role in sexual dysfunction among CCS. Symptoms like anxiety, nervousness during sexual activity, and depression are commonly reported by those with sexual dysfunction. The connection between body image and sexual function is complex. Many CCS with sexual dysfunction express concern about how others, particularly their partners, perceived their altered body image due to cancer and its treatment.
Physiological factors: In male CCS, low serum testosterone levels and low lean muscle mass are linked to an increased risk for sexual dysfunction. Treatments involving alkylating agents or testicular radiation, and surgery or radiotherapy targeting the genitourinary organs or the hypothalamic-pituitary region, can lead to various physiological and endocrine disorders, contributing to sexual dysfunction. Despite these risks, there is a lack of research evaluating sexual function through the lens of the hypothalamic-pituitary-gonadal axis and neuroendocrine pathways.
This story was translated from Univadis Italy using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.
Childhood cancers represent a diverse group of neoplasms, and thanks to advances in treatment, survival rates have improved significantly. Today, more than 80%-85% of children diagnosed with cancer in developed countries survive into adulthood.
This increase in survival has brought new challenges, however. Compared with the general population, childhood cancer survivors (CCS) are at a notably higher risk for early mortality, developing secondary cancers, and experiencing various long-term clinical and psychosocial issues stemming from their disease or its treatment.
Long-term follow-up care for CCS is a complex and evolving field. Despite ongoing efforts to establish global and national guidelines, current evidence indicates that the care and management of these patients remain suboptimal.
The disruptions caused by cancer and its treatment can interfere with normal physiological and psychological development, leading to issues with sexual function. This aspect of health is critical as it influences not just physical well-being but also psychosocial, developmental, and emotional health.
Characteristics and Mechanisms
Sexual functioning encompasses the physiological and psychological aspects of sexual behavior, including desire, arousal, orgasm, sexual pleasure, and overall satisfaction.
As CCS reach adolescence or adulthood, they often face sexual and reproductive issues, particularly as they enter romantic relationships.
Sexual functioning is a complex process that relies on the interaction of various factors, including physiological health, psychosexual development, romantic relationships, body image, and desire.
Despite its importance, the impact of childhood cancer on sexual function is often overlooked, even though cancer and its treatments can have lifelong effects.
Sexual Function in CCS
A recent review aimed to summarize the existing research on sexual function among CCS, highlighting assessment tools, key stages of psychosexual development, common sexual problems, and the prevalence of sexual dysfunction.
The review study included 22 studies published between 2000 and 2022, comprising two qualitative, six cohort, and 14 cross-sectional studies.
Most CCS reached all key stages of psychosexual development at an average age of 29.8 years. Although some milestones were achieved later than is typical, many survivors felt they reached these stages at the appropriate time. Sexual initiation was less common among those who had undergone intensive neurotoxic treatments, such as those diagnosed with brain tumors or leukemia in childhood.
In a cross-sectional study of CCS aged 17-39 years, about one third had never engaged in sexual intercourse, 41.4% reported never experiencing sexual attraction, 44.8% were dissatisfied with their sex lives, and many rarely felt sexually attractive to others. Another study found that common issues among CCS included a lack of interest in sex (30%), difficulty enjoying sex (24%), and difficulty becoming aroused (23%). However, comparing and analyzing these problems was challenging due to the lack of standardized assessment criteria.
The prevalence of sexual dysfunction among CCS ranged from 12.3% to 46.5%. For males, the prevalence ranged from 12.3% to 54.0%, while for females, it ranged from 19.9% to 57.0%.
Factors Influencing Sexual Function
The review identified the following four categories of factors influencing sexual function in CCS: Demographic, treatment-related, psychological, and physiological.
Demographic factors: Gender, age, education level, relationship status, income level, and race all play roles in sexual function.
Female survivors reported more severe sexual dysfunction and poorer sexual health than did male survivors. Age at cancer diagnosis, age at evaluation, and the time since diagnosis were closely linked to sexual experiences. Patients diagnosed with cancer during childhood tended to report better sexual function than those diagnosed during adolescence.
Treatment-related factors: The type of cancer and intensity of treatment, along with surgical history, were significant factors. Surgeries involving the spinal cord or sympathetic nerves, as well as a history of prostate or pelvic surgery, were strongly associated with erectile dysfunction in men. In women, pelvic surgeries and treatments to the pelvic area were commonly linked to sexual dysfunction.
The association between treatment intensity and sexual function was noted across several studies, although the results were not always consistent. For example, testicular radiation above 10 Gy was positively correlated with sexual dysfunction. Women who underwent more intensive treatments were more likely to report issues in multiple areas of sexual function, while men in this group were less likely to have children.
Among female CCS, certain types of cancer, such as germ cell tumors, renal tumors, and leukemia, present a higher risk for sexual dysfunction. Women who had CNS tumors in childhood frequently reported problems like difficulty in sexual arousal, low sexual satisfaction, infrequent sexual activity, and fewer sexual partners, compared with survivors of other cancers. Survivors of acute lymphoblastic leukemia and those who underwent hematopoietic stem cell transplantation (HSCT) also showed varying degrees of impaired sexual function, compared with the general population. The HSCT group showed significant testicular damage, including reduced testicular volumes, low testosterone levels, and low sperm counts.
Psychological factors: These factors, such as emotional distress, play a significant role in sexual dysfunction among CCS. Symptoms like anxiety, nervousness during sexual activity, and depression are commonly reported by those with sexual dysfunction. The connection between body image and sexual function is complex. Many CCS with sexual dysfunction express concern about how others, particularly their partners, perceived their altered body image due to cancer and its treatment.
Physiological factors: In male CCS, low serum testosterone levels and low lean muscle mass are linked to an increased risk for sexual dysfunction. Treatments involving alkylating agents or testicular radiation, and surgery or radiotherapy targeting the genitourinary organs or the hypothalamic-pituitary region, can lead to various physiological and endocrine disorders, contributing to sexual dysfunction. Despite these risks, there is a lack of research evaluating sexual function through the lens of the hypothalamic-pituitary-gonadal axis and neuroendocrine pathways.
This story was translated from Univadis Italy using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.
Diagnosing, Treating Rashes In Patients on Immune Checkpoint Inhibitors
WASHINGTON, DC — and with judicious usage and dosing of prednisone when deemed necessary, Blair Allais, MD, said during a session on supportive oncodermatology at the ElderDerm conference on dermatology in the older patient hosted by the George Washington University School of Medicine and Health Sciences, Washington, DC.
“It’s important when you see these patients to be as specific as possible” based on morphology and histopathology, and to treat the rashes in a similar way as in the non-ICI setting,” said Dr. Allais, a dermato-oncologist at the Inova Schar Cancer Institute, Fairfax, Virginia.
cirAEs are the most frequently reported and most visible adverse effects of checkpoint inhibition — a treatment that has emerged as a standard therapy for many malignancies since the first ICI was approved in 2011 for metastatic melanoma.
And contrary to what the phenomenon of immunosenescence might suggest, older patients are no less prone to cirAEs than younger patients. “You’d think you’d have fewer rashes and side effects as you age, but that’s not true,” said Dr. Allais, who completed a fellowship in cutaneous oncology after her dermatology residency.
A 2021 multicenter international cohort study of over 900 patients aged ≥ 80 years treated with single-agent ICIs for cancer did not find any significant differences in the development of immune-related adverse events among those younger than 85, those aged 85-89 years, and those 90 and older. Neither did the ELDERS study in the United Kingdom; this prospective observational study found similar rates of high-grade and low-grade immune toxicity in its two cohorts of patients ≥ 70 and < 70 years of age.
At the meeting, Dr. Allais, who coauthored a 2023 review of cirAEs from ICIs, reviewed recent developments and provided the following advice:
New diagnostic criteria: “Really exciting” news for more precise diagnosis and optimal therapy of cirAEs, Dr. Allais said, is a position paper published in the Journal for ImmunoTherapy of Cancer that offers consensus-based diagnostic criteria for the 10 most common types of dermatologic immune-related adverse events and an overall diagnostic framework. “Luckily, through the work of a Delphi consensus group, we can now have [more diagnostic specificity],” which is important for both clinical care and research, she said.
Most cirAEs have typically been reported nonspecifically as “rash,” but diagnosing a rash subtype is “critical in tailoring appropriate therapy that it is both effective and the least detrimental to the oncology treatment plan for patients with cancer,” the group’s coauthors wrote.
The 10 core diagnoses include psoriasis, eczematous dermatitis, vitiligo, Grover disease, eruptive atypical squamous proliferation, and bullous pemphigoid. Outside of the core diagnoses are other nonspecific presentations that require evaluation to arrive at a diagnosis, if possible, or to reveal data that can allow for targeted therapy and severity grading, the group explains in its paper.
“To prednisone or not to prednisone”: The development of cirAEs is associated with reduced mortality and improved cancer outcomes, making the use of immunosuppressants such as corticosteroids a therapeutic dilemma. “Patients who get these rashes usually do better with respect to their cancer, so the concern has been, if we affect how they respond to their immunotherapy, we may minimize that improvement in mortality,” said Dr. Allais, also assistant professor at the University of Virginia, Charlottesville, and clinical assistant professor of dermatology at George Washington University.
A widely discussed study published in 2015 reported on 254 patients with melanoma who developed an immune-related adverse event during treatment with ipilimumab — approximately one third of whom required systemic corticosteroids — and concluded that systemic corticosteroids did not affect overall survival or time to (cancer) treatment failure. This study from Memorial Sloan Kettering Cancer Center, New York City, “was the first large study looking at this question,” she said, and the subsequent message for several years in conferences and the literature was that steroids do not affect the efficacy of checkpoint inhibitors.
“But the study was not without limitations,” Dr. Allais said, “because the patients who got prednisone were mainly those with higher-grade toxicities,” while those not treated with corticosteroids had either no toxicities or low-grade toxicities. “If higher-grade toxicities were associated with better (antitumor) response, the steroids may have just [blunted] that benefit.”
The current totality of data available in the literature suggests that corticosteroids may indeed have an impact on the efficacy of ICI therapy. “Subsequent studies have come out in the community that have shown that we should probably think twice about giving prednisone to some patients, particularly within the first 50 days of ICI treatment, and that we should be mindful of the dose,” Dr. Allais said.
The takeaways from these studies — all published in the past few years — are to use prednisone early and liberally for life-threatening toxicity, to use it at the lowest dose and for the shortest course when there is not an appropriate alternative, to avoid it for diagnoses that are not treated with prednisone outside the ICI setting, and to “have a plan” for a steroid-sparing agent to use after prednisone, she said.
Dr. Allais recommends heightened consideration during the first 50 days of ICI treatment based on a multicenter retrospective study that found a significant association between use of high-dose glucocorticoids (≥ 60 mg prednisone equivalent once a day) within 8 weeks of anti–programmed cell death protein 1 (PD-1) monotherapy initiation and poorer progression-free and overall survival. The study covered a cohort of 947 patients with advanced melanoma treated with anti–PD-1 monotherapy between 2009 and 2019, 54% of whom developed immune-related adverse events.
This study and other recent studies addressing the association between steroids and survival outcomes in patients with immune-related adverse events during ICI therapy are described in Dr. Allais’ 2023 review of cirAEs from ICIs.
Approach to morbilliform eruptions: This rash is “super common” in patients on ICIs, occurring generally within 2-3 weeks of starting treatment. “It tends to be self-limited and can recur with future infusions,” Dr. Allais said.
Systemic steroids should be reserved for severe or refractory eruptions. “Usually, I treat the patients with topical steroids, and I manage their expectations (that the rash may recur with subsequent infusions), but I closely follow them up” within 2-3 weeks, she said. It’s important to rule out a severe cutaneous adverse drug eruption, of course, and to start high-dose systemic steroids immediately if necessary. “Antibiotics are a big culprit” and often can be discontinued.
Soak and smear: “I’m obsessed” with this technique of a 20-minute soak in plain water followed by application of steroid ointment, said Dr. Allais, referring to a small study published in 2005 that reported a complete response after 2 weeks in 60% of patients with psoriasis, atopic dermatitis, and other inflammatory skin conditions (none had cancer), who had failed prior systemic therapy. All patients had at least a 75% response.
The method offers a way to “avoid the systemic immunosuppression we’d get with prednisone,” she said. One just needs to make sure the older patient can get in and out of their tub safely.
ICI-induced bullous pemphigoid (BP): BP occurs more frequently in the ICI setting, compared with the general population, with a median time to development of 8.5 months after ICI initiation. It is associated in this setting with improved tumor response, but “many oncologists stop anticancer treatment because of this diagnosis,” she said.
In the supportive oncodermatology space, however, ICI-induced BP exemplifies the value of tailored treatment regimens, she said. A small multi-institutional retrospective cohort study published in 2023 identified 35 cases of ICI-BP among 5636 ICI-treated patients and found that 8 out of 11 patients who received biologic therapy (rituximab, omalizumab, or dupilumab) had a complete response to ICI-BP without flares following subsequent ICI cycles. And while statistical significance was not reached, the study showed that no cancer-related outcomes were worsened.
“If you see someone with ICI-induced BP and they have a lot of involvement, you could start them on steroids and get that steroid-sparing agent initiated for approval. ... And if IgE is elevated, you might reach for omalizumab,” said Dr. Allais, noting that her favored treatment overall is dupilumab.
Risk factors for the development of ICI-induced BP include age > 70, skin cancer, and having an initial response to ICI on first imaging, the latter of which “I find fascinating ... because imaging occurs within the first 12 weeks of treatment, but we don’t see BP popping up until 8.5 months into treatment,” she noted. “So maybe there’s a baseline risk factor that could predispose them.”
Caution with antibiotics: “I try to avoid antibiotics in the ICI setting,” Dr. Allais said, in deference to the “ever-important microbiome.” Studies have demonstrated that the microbiomes of responders to ICI treatment are different from those of nonresponders, she said.
And a “fascinating” study of patients with melanoma undergoing ICI therapy showed not only a higher abundance of Ruminococcaceae bacteria in responders vs nonresponders but a significant impact of dietary fiber. High dietary fiber was associated with significantly improved overall survival in the patients on ICI, with the most pronounced benefit in patients with good fiber intake and no probiotic use. “Even wilder, their T cells changed,” she said. “They had a high expression of genes related to T-cell activation ... so more tumor-infiltrating lymphocytes.”
A retrospective study of 568 patients with stages III and IV melanoma treated with ICI showed that those exposed to antibiotics prior to ICI had significantly worse overall survival than those not exposed to antibiotics. “Think before you give them,” Dr. Allais said. “And try to tell your older patients to eat beans and greens.”
Dr. Allais reported having no relevant disclosures.
A version of this article first appeared on Medscape.com.
WASHINGTON, DC — and with judicious usage and dosing of prednisone when deemed necessary, Blair Allais, MD, said during a session on supportive oncodermatology at the ElderDerm conference on dermatology in the older patient hosted by the George Washington University School of Medicine and Health Sciences, Washington, DC.
“It’s important when you see these patients to be as specific as possible” based on morphology and histopathology, and to treat the rashes in a similar way as in the non-ICI setting,” said Dr. Allais, a dermato-oncologist at the Inova Schar Cancer Institute, Fairfax, Virginia.
cirAEs are the most frequently reported and most visible adverse effects of checkpoint inhibition — a treatment that has emerged as a standard therapy for many malignancies since the first ICI was approved in 2011 for metastatic melanoma.
And contrary to what the phenomenon of immunosenescence might suggest, older patients are no less prone to cirAEs than younger patients. “You’d think you’d have fewer rashes and side effects as you age, but that’s not true,” said Dr. Allais, who completed a fellowship in cutaneous oncology after her dermatology residency.
A 2021 multicenter international cohort study of over 900 patients aged ≥ 80 years treated with single-agent ICIs for cancer did not find any significant differences in the development of immune-related adverse events among those younger than 85, those aged 85-89 years, and those 90 and older. Neither did the ELDERS study in the United Kingdom; this prospective observational study found similar rates of high-grade and low-grade immune toxicity in its two cohorts of patients ≥ 70 and < 70 years of age.
At the meeting, Dr. Allais, who coauthored a 2023 review of cirAEs from ICIs, reviewed recent developments and provided the following advice:
New diagnostic criteria: “Really exciting” news for more precise diagnosis and optimal therapy of cirAEs, Dr. Allais said, is a position paper published in the Journal for ImmunoTherapy of Cancer that offers consensus-based diagnostic criteria for the 10 most common types of dermatologic immune-related adverse events and an overall diagnostic framework. “Luckily, through the work of a Delphi consensus group, we can now have [more diagnostic specificity],” which is important for both clinical care and research, she said.
Most cirAEs have typically been reported nonspecifically as “rash,” but diagnosing a rash subtype is “critical in tailoring appropriate therapy that it is both effective and the least detrimental to the oncology treatment plan for patients with cancer,” the group’s coauthors wrote.
The 10 core diagnoses include psoriasis, eczematous dermatitis, vitiligo, Grover disease, eruptive atypical squamous proliferation, and bullous pemphigoid. Outside of the core diagnoses are other nonspecific presentations that require evaluation to arrive at a diagnosis, if possible, or to reveal data that can allow for targeted therapy and severity grading, the group explains in its paper.
“To prednisone or not to prednisone”: The development of cirAEs is associated with reduced mortality and improved cancer outcomes, making the use of immunosuppressants such as corticosteroids a therapeutic dilemma. “Patients who get these rashes usually do better with respect to their cancer, so the concern has been, if we affect how they respond to their immunotherapy, we may minimize that improvement in mortality,” said Dr. Allais, also assistant professor at the University of Virginia, Charlottesville, and clinical assistant professor of dermatology at George Washington University.
A widely discussed study published in 2015 reported on 254 patients with melanoma who developed an immune-related adverse event during treatment with ipilimumab — approximately one third of whom required systemic corticosteroids — and concluded that systemic corticosteroids did not affect overall survival or time to (cancer) treatment failure. This study from Memorial Sloan Kettering Cancer Center, New York City, “was the first large study looking at this question,” she said, and the subsequent message for several years in conferences and the literature was that steroids do not affect the efficacy of checkpoint inhibitors.
“But the study was not without limitations,” Dr. Allais said, “because the patients who got prednisone were mainly those with higher-grade toxicities,” while those not treated with corticosteroids had either no toxicities or low-grade toxicities. “If higher-grade toxicities were associated with better (antitumor) response, the steroids may have just [blunted] that benefit.”
The current totality of data available in the literature suggests that corticosteroids may indeed have an impact on the efficacy of ICI therapy. “Subsequent studies have come out in the community that have shown that we should probably think twice about giving prednisone to some patients, particularly within the first 50 days of ICI treatment, and that we should be mindful of the dose,” Dr. Allais said.
The takeaways from these studies — all published in the past few years — are to use prednisone early and liberally for life-threatening toxicity, to use it at the lowest dose and for the shortest course when there is not an appropriate alternative, to avoid it for diagnoses that are not treated with prednisone outside the ICI setting, and to “have a plan” for a steroid-sparing agent to use after prednisone, she said.
Dr. Allais recommends heightened consideration during the first 50 days of ICI treatment based on a multicenter retrospective study that found a significant association between use of high-dose glucocorticoids (≥ 60 mg prednisone equivalent once a day) within 8 weeks of anti–programmed cell death protein 1 (PD-1) monotherapy initiation and poorer progression-free and overall survival. The study covered a cohort of 947 patients with advanced melanoma treated with anti–PD-1 monotherapy between 2009 and 2019, 54% of whom developed immune-related adverse events.
This study and other recent studies addressing the association between steroids and survival outcomes in patients with immune-related adverse events during ICI therapy are described in Dr. Allais’ 2023 review of cirAEs from ICIs.
Approach to morbilliform eruptions: This rash is “super common” in patients on ICIs, occurring generally within 2-3 weeks of starting treatment. “It tends to be self-limited and can recur with future infusions,” Dr. Allais said.
Systemic steroids should be reserved for severe or refractory eruptions. “Usually, I treat the patients with topical steroids, and I manage their expectations (that the rash may recur with subsequent infusions), but I closely follow them up” within 2-3 weeks, she said. It’s important to rule out a severe cutaneous adverse drug eruption, of course, and to start high-dose systemic steroids immediately if necessary. “Antibiotics are a big culprit” and often can be discontinued.
Soak and smear: “I’m obsessed” with this technique of a 20-minute soak in plain water followed by application of steroid ointment, said Dr. Allais, referring to a small study published in 2005 that reported a complete response after 2 weeks in 60% of patients with psoriasis, atopic dermatitis, and other inflammatory skin conditions (none had cancer), who had failed prior systemic therapy. All patients had at least a 75% response.
The method offers a way to “avoid the systemic immunosuppression we’d get with prednisone,” she said. One just needs to make sure the older patient can get in and out of their tub safely.
ICI-induced bullous pemphigoid (BP): BP occurs more frequently in the ICI setting, compared with the general population, with a median time to development of 8.5 months after ICI initiation. It is associated in this setting with improved tumor response, but “many oncologists stop anticancer treatment because of this diagnosis,” she said.
In the supportive oncodermatology space, however, ICI-induced BP exemplifies the value of tailored treatment regimens, she said. A small multi-institutional retrospective cohort study published in 2023 identified 35 cases of ICI-BP among 5636 ICI-treated patients and found that 8 out of 11 patients who received biologic therapy (rituximab, omalizumab, or dupilumab) had a complete response to ICI-BP without flares following subsequent ICI cycles. And while statistical significance was not reached, the study showed that no cancer-related outcomes were worsened.
“If you see someone with ICI-induced BP and they have a lot of involvement, you could start them on steroids and get that steroid-sparing agent initiated for approval. ... And if IgE is elevated, you might reach for omalizumab,” said Dr. Allais, noting that her favored treatment overall is dupilumab.
Risk factors for the development of ICI-induced BP include age > 70, skin cancer, and having an initial response to ICI on first imaging, the latter of which “I find fascinating ... because imaging occurs within the first 12 weeks of treatment, but we don’t see BP popping up until 8.5 months into treatment,” she noted. “So maybe there’s a baseline risk factor that could predispose them.”
Caution with antibiotics: “I try to avoid antibiotics in the ICI setting,” Dr. Allais said, in deference to the “ever-important microbiome.” Studies have demonstrated that the microbiomes of responders to ICI treatment are different from those of nonresponders, she said.
And a “fascinating” study of patients with melanoma undergoing ICI therapy showed not only a higher abundance of Ruminococcaceae bacteria in responders vs nonresponders but a significant impact of dietary fiber. High dietary fiber was associated with significantly improved overall survival in the patients on ICI, with the most pronounced benefit in patients with good fiber intake and no probiotic use. “Even wilder, their T cells changed,” she said. “They had a high expression of genes related to T-cell activation ... so more tumor-infiltrating lymphocytes.”
A retrospective study of 568 patients with stages III and IV melanoma treated with ICI showed that those exposed to antibiotics prior to ICI had significantly worse overall survival than those not exposed to antibiotics. “Think before you give them,” Dr. Allais said. “And try to tell your older patients to eat beans and greens.”
Dr. Allais reported having no relevant disclosures.
A version of this article first appeared on Medscape.com.
WASHINGTON, DC — and with judicious usage and dosing of prednisone when deemed necessary, Blair Allais, MD, said during a session on supportive oncodermatology at the ElderDerm conference on dermatology in the older patient hosted by the George Washington University School of Medicine and Health Sciences, Washington, DC.
“It’s important when you see these patients to be as specific as possible” based on morphology and histopathology, and to treat the rashes in a similar way as in the non-ICI setting,” said Dr. Allais, a dermato-oncologist at the Inova Schar Cancer Institute, Fairfax, Virginia.
cirAEs are the most frequently reported and most visible adverse effects of checkpoint inhibition — a treatment that has emerged as a standard therapy for many malignancies since the first ICI was approved in 2011 for metastatic melanoma.
And contrary to what the phenomenon of immunosenescence might suggest, older patients are no less prone to cirAEs than younger patients. “You’d think you’d have fewer rashes and side effects as you age, but that’s not true,” said Dr. Allais, who completed a fellowship in cutaneous oncology after her dermatology residency.
A 2021 multicenter international cohort study of over 900 patients aged ≥ 80 years treated with single-agent ICIs for cancer did not find any significant differences in the development of immune-related adverse events among those younger than 85, those aged 85-89 years, and those 90 and older. Neither did the ELDERS study in the United Kingdom; this prospective observational study found similar rates of high-grade and low-grade immune toxicity in its two cohorts of patients ≥ 70 and < 70 years of age.
At the meeting, Dr. Allais, who coauthored a 2023 review of cirAEs from ICIs, reviewed recent developments and provided the following advice:
New diagnostic criteria: “Really exciting” news for more precise diagnosis and optimal therapy of cirAEs, Dr. Allais said, is a position paper published in the Journal for ImmunoTherapy of Cancer that offers consensus-based diagnostic criteria for the 10 most common types of dermatologic immune-related adverse events and an overall diagnostic framework. “Luckily, through the work of a Delphi consensus group, we can now have [more diagnostic specificity],” which is important for both clinical care and research, she said.
Most cirAEs have typically been reported nonspecifically as “rash,” but diagnosing a rash subtype is “critical in tailoring appropriate therapy that it is both effective and the least detrimental to the oncology treatment plan for patients with cancer,” the group’s coauthors wrote.
The 10 core diagnoses include psoriasis, eczematous dermatitis, vitiligo, Grover disease, eruptive atypical squamous proliferation, and bullous pemphigoid. Outside of the core diagnoses are other nonspecific presentations that require evaluation to arrive at a diagnosis, if possible, or to reveal data that can allow for targeted therapy and severity grading, the group explains in its paper.
“To prednisone or not to prednisone”: The development of cirAEs is associated with reduced mortality and improved cancer outcomes, making the use of immunosuppressants such as corticosteroids a therapeutic dilemma. “Patients who get these rashes usually do better with respect to their cancer, so the concern has been, if we affect how they respond to their immunotherapy, we may minimize that improvement in mortality,” said Dr. Allais, also assistant professor at the University of Virginia, Charlottesville, and clinical assistant professor of dermatology at George Washington University.
A widely discussed study published in 2015 reported on 254 patients with melanoma who developed an immune-related adverse event during treatment with ipilimumab — approximately one third of whom required systemic corticosteroids — and concluded that systemic corticosteroids did not affect overall survival or time to (cancer) treatment failure. This study from Memorial Sloan Kettering Cancer Center, New York City, “was the first large study looking at this question,” she said, and the subsequent message for several years in conferences and the literature was that steroids do not affect the efficacy of checkpoint inhibitors.
“But the study was not without limitations,” Dr. Allais said, “because the patients who got prednisone were mainly those with higher-grade toxicities,” while those not treated with corticosteroids had either no toxicities or low-grade toxicities. “If higher-grade toxicities were associated with better (antitumor) response, the steroids may have just [blunted] that benefit.”
The current totality of data available in the literature suggests that corticosteroids may indeed have an impact on the efficacy of ICI therapy. “Subsequent studies have come out in the community that have shown that we should probably think twice about giving prednisone to some patients, particularly within the first 50 days of ICI treatment, and that we should be mindful of the dose,” Dr. Allais said.
The takeaways from these studies — all published in the past few years — are to use prednisone early and liberally for life-threatening toxicity, to use it at the lowest dose and for the shortest course when there is not an appropriate alternative, to avoid it for diagnoses that are not treated with prednisone outside the ICI setting, and to “have a plan” for a steroid-sparing agent to use after prednisone, she said.
Dr. Allais recommends heightened consideration during the first 50 days of ICI treatment based on a multicenter retrospective study that found a significant association between use of high-dose glucocorticoids (≥ 60 mg prednisone equivalent once a day) within 8 weeks of anti–programmed cell death protein 1 (PD-1) monotherapy initiation and poorer progression-free and overall survival. The study covered a cohort of 947 patients with advanced melanoma treated with anti–PD-1 monotherapy between 2009 and 2019, 54% of whom developed immune-related adverse events.
This study and other recent studies addressing the association between steroids and survival outcomes in patients with immune-related adverse events during ICI therapy are described in Dr. Allais’ 2023 review of cirAEs from ICIs.
Approach to morbilliform eruptions: This rash is “super common” in patients on ICIs, occurring generally within 2-3 weeks of starting treatment. “It tends to be self-limited and can recur with future infusions,” Dr. Allais said.
Systemic steroids should be reserved for severe or refractory eruptions. “Usually, I treat the patients with topical steroids, and I manage their expectations (that the rash may recur with subsequent infusions), but I closely follow them up” within 2-3 weeks, she said. It’s important to rule out a severe cutaneous adverse drug eruption, of course, and to start high-dose systemic steroids immediately if necessary. “Antibiotics are a big culprit” and often can be discontinued.
Soak and smear: “I’m obsessed” with this technique of a 20-minute soak in plain water followed by application of steroid ointment, said Dr. Allais, referring to a small study published in 2005 that reported a complete response after 2 weeks in 60% of patients with psoriasis, atopic dermatitis, and other inflammatory skin conditions (none had cancer), who had failed prior systemic therapy. All patients had at least a 75% response.
The method offers a way to “avoid the systemic immunosuppression we’d get with prednisone,” she said. One just needs to make sure the older patient can get in and out of their tub safely.
ICI-induced bullous pemphigoid (BP): BP occurs more frequently in the ICI setting, compared with the general population, with a median time to development of 8.5 months after ICI initiation. It is associated in this setting with improved tumor response, but “many oncologists stop anticancer treatment because of this diagnosis,” she said.
In the supportive oncodermatology space, however, ICI-induced BP exemplifies the value of tailored treatment regimens, she said. A small multi-institutional retrospective cohort study published in 2023 identified 35 cases of ICI-BP among 5636 ICI-treated patients and found that 8 out of 11 patients who received biologic therapy (rituximab, omalizumab, or dupilumab) had a complete response to ICI-BP without flares following subsequent ICI cycles. And while statistical significance was not reached, the study showed that no cancer-related outcomes were worsened.
“If you see someone with ICI-induced BP and they have a lot of involvement, you could start them on steroids and get that steroid-sparing agent initiated for approval. ... And if IgE is elevated, you might reach for omalizumab,” said Dr. Allais, noting that her favored treatment overall is dupilumab.
Risk factors for the development of ICI-induced BP include age > 70, skin cancer, and having an initial response to ICI on first imaging, the latter of which “I find fascinating ... because imaging occurs within the first 12 weeks of treatment, but we don’t see BP popping up until 8.5 months into treatment,” she noted. “So maybe there’s a baseline risk factor that could predispose them.”
Caution with antibiotics: “I try to avoid antibiotics in the ICI setting,” Dr. Allais said, in deference to the “ever-important microbiome.” Studies have demonstrated that the microbiomes of responders to ICI treatment are different from those of nonresponders, she said.
And a “fascinating” study of patients with melanoma undergoing ICI therapy showed not only a higher abundance of Ruminococcaceae bacteria in responders vs nonresponders but a significant impact of dietary fiber. High dietary fiber was associated with significantly improved overall survival in the patients on ICI, with the most pronounced benefit in patients with good fiber intake and no probiotic use. “Even wilder, their T cells changed,” she said. “They had a high expression of genes related to T-cell activation ... so more tumor-infiltrating lymphocytes.”
A retrospective study of 568 patients with stages III and IV melanoma treated with ICI showed that those exposed to antibiotics prior to ICI had significantly worse overall survival than those not exposed to antibiotics. “Think before you give them,” Dr. Allais said. “And try to tell your older patients to eat beans and greens.”
Dr. Allais reported having no relevant disclosures.
A version of this article first appeared on Medscape.com.
FROM ELDERDERM 2024
Jeffrey Weber, MD, PhD, Giant of Cancer Care, Dies
Dr. Weber, a melanoma and cancer immunotherapy specialist, served as deputy director of the Laura and Isaac Perlmutter Cancer Center at New York University (NYU) Langone Medical Center in New York City. He also held positions as the Laura and Isaac Perlmutter Professor of Oncology in the Department of Medicine at the NYU Grossman School of Medicine, director of the Experimental Therapeutics Program, and co-leader of the Clinical Melanoma Program Board at NYU Langone Health.
Dr. Weber was a principal investigator on many studies, including pivotal clinical drug trials in melanoma and trials focused on managing autoimmune side effects from immunotherapy. He published more than 150 articles in top peer-reviewed journals.
For many years, Dr. Weber hosted the popular “Weber on Oncology” series of video contributions for Medscape Oncology, sharing updates and insights on noteworthy research and breakthroughs in melanoma.
“The Melanoma Research Alliance mourns the passing of Dr. Jeffrey S. Weber, a true pioneer in the field of cancer immunotherapy and an extraordinary leader in melanoma research. His contributions have forever changed the landscape of melanoma treatment, bringing groundbreaking advances from the lab into clinical practice and offering hope to countless patients,” the Melanoma Research Alliance posted on LinkedIn.
Many X users also shared condolences and memories of Dr. Weber, praising his numerous contributions and accomplishments.
“[Cancer Research Institute] mourns the loss of Dr. Jeffrey S. Weber ... [a]s an accomplished physician scientist, Dr. Weber drove advances in melanoma research, and played an active role in educating patients about the lifesaving power of immunotherapy,” the Cancer Research Institute posted.
A colleague noted that “[h]e was involved in the early days of cytokine and cell therapy and most recently led studies of personalized vaccines for melanoma patients. ... He was a great friend and colleague to many of us in the melanoma and immunotherapy field and we will remember him as a pioneer, thought leader and compassionate physician.”
A version of this article first appeared on Medscape.com.
Dr. Weber, a melanoma and cancer immunotherapy specialist, served as deputy director of the Laura and Isaac Perlmutter Cancer Center at New York University (NYU) Langone Medical Center in New York City. He also held positions as the Laura and Isaac Perlmutter Professor of Oncology in the Department of Medicine at the NYU Grossman School of Medicine, director of the Experimental Therapeutics Program, and co-leader of the Clinical Melanoma Program Board at NYU Langone Health.
Dr. Weber was a principal investigator on many studies, including pivotal clinical drug trials in melanoma and trials focused on managing autoimmune side effects from immunotherapy. He published more than 150 articles in top peer-reviewed journals.
For many years, Dr. Weber hosted the popular “Weber on Oncology” series of video contributions for Medscape Oncology, sharing updates and insights on noteworthy research and breakthroughs in melanoma.
“The Melanoma Research Alliance mourns the passing of Dr. Jeffrey S. Weber, a true pioneer in the field of cancer immunotherapy and an extraordinary leader in melanoma research. His contributions have forever changed the landscape of melanoma treatment, bringing groundbreaking advances from the lab into clinical practice and offering hope to countless patients,” the Melanoma Research Alliance posted on LinkedIn.
Many X users also shared condolences and memories of Dr. Weber, praising his numerous contributions and accomplishments.
“[Cancer Research Institute] mourns the loss of Dr. Jeffrey S. Weber ... [a]s an accomplished physician scientist, Dr. Weber drove advances in melanoma research, and played an active role in educating patients about the lifesaving power of immunotherapy,” the Cancer Research Institute posted.
A colleague noted that “[h]e was involved in the early days of cytokine and cell therapy and most recently led studies of personalized vaccines for melanoma patients. ... He was a great friend and colleague to many of us in the melanoma and immunotherapy field and we will remember him as a pioneer, thought leader and compassionate physician.”
A version of this article first appeared on Medscape.com.
Dr. Weber, a melanoma and cancer immunotherapy specialist, served as deputy director of the Laura and Isaac Perlmutter Cancer Center at New York University (NYU) Langone Medical Center in New York City. He also held positions as the Laura and Isaac Perlmutter Professor of Oncology in the Department of Medicine at the NYU Grossman School of Medicine, director of the Experimental Therapeutics Program, and co-leader of the Clinical Melanoma Program Board at NYU Langone Health.
Dr. Weber was a principal investigator on many studies, including pivotal clinical drug trials in melanoma and trials focused on managing autoimmune side effects from immunotherapy. He published more than 150 articles in top peer-reviewed journals.
For many years, Dr. Weber hosted the popular “Weber on Oncology” series of video contributions for Medscape Oncology, sharing updates and insights on noteworthy research and breakthroughs in melanoma.
“The Melanoma Research Alliance mourns the passing of Dr. Jeffrey S. Weber, a true pioneer in the field of cancer immunotherapy and an extraordinary leader in melanoma research. His contributions have forever changed the landscape of melanoma treatment, bringing groundbreaking advances from the lab into clinical practice and offering hope to countless patients,” the Melanoma Research Alliance posted on LinkedIn.
Many X users also shared condolences and memories of Dr. Weber, praising his numerous contributions and accomplishments.
“[Cancer Research Institute] mourns the loss of Dr. Jeffrey S. Weber ... [a]s an accomplished physician scientist, Dr. Weber drove advances in melanoma research, and played an active role in educating patients about the lifesaving power of immunotherapy,” the Cancer Research Institute posted.
A colleague noted that “[h]e was involved in the early days of cytokine and cell therapy and most recently led studies of personalized vaccines for melanoma patients. ... He was a great friend and colleague to many of us in the melanoma and immunotherapy field and we will remember him as a pioneer, thought leader and compassionate physician.”
A version of this article first appeared on Medscape.com.
Experts Highlight Challenges That Remain for AI Devices in Triaging Skin Cancer
Emerging
according to researchers and dermatologists investigating AI.While some AI-integrated devices designed to triage skin lesions have emerged, including one that received Food and Drug Administration (FDA) clearance earlier in 2024, it may be some time before AI has a meaningful clinical impact in dermatology and, more specifically, the diagnosis of skin cancer, Ivy Lee, MD, a dermatologist in Pasadena, California, and chair of the American Academy of Dermatology’s augmented intelligence committee, told this news organization.
“It hasn’t really translated into clinical practice yet,” Dr. Lee said of AI in dermatology. “There have been significant advances in terms of the technical possibility and feasibility of these tools, but the translation and integration of AI into actual clinical work flows to benefit patients beyond academic research studies has been limited.” More studies and more “easily accessible and digestible information” are needed to evaluate AI tools in dermatologic practice.
“In dermatology, we’re on a cusp with AI,” said Rebecca Hartman, MD, MPH, chief of dermatology at the VA Boston Healthcare System and director of melanoma epidemiology at Brigham and Women’s Hospital, Boston, Massachusetts. “I think it’s going to come and change what we do,” which is especially true for any image-based specialty,” including radiology and pathology, in addition to dermatology.
Dr. Hartman led a study of one of these emerging technologies, the handheld elastic scattering spectroscopy device DermaSensor, which was cleared by the FDA in January for evaluating skin lesions suggestive of skin cancer.
Early AI Devices for Skin Cancer Detection
At the American Society for Laser Medicine and Surgery (ASLMS) meeting in April, a panel explored a number of algorithms with dermatologic applications that use AI to triage skin lesions, including DermaSensor.
Raman spectroscopy, which contains a handheld Raman probe, a diode laser, and a detecting spectrograph. A laser beam — which at 1.56 W/cm2 is below the maximum permissible exposure — focuses on the skin target with a 3.5-mm spot, gathers data on the target, and feeds it back into the unit that houses the algorithm that evaluates the spot analysis. It’s still in the investigative phase. A clinical trial, published almost 5 years ago, demonstrated a sensitivity of 90%-99% and a specificity of 24%-66% for skin cancer.
A dermatoscope called Sklip clips onto a smartphone and performs what company cofounder Alexander Witkowski, MD, PhD, described as an “optical painless virtual biopsy” for at-home use. The device uploads the captured image to an AI platform for analysis. It received FDA breakthrough device designation in 2022. At the ASLMS meeting, Dr. Witkowski said that clinical performance showed the device had a 97% sensitivity and 30% specificity for skin cancer.
DermaSensor, described in the study conducted by Dr. Hartman and others as a noninvasive, point-and-click spectrometer, is a wireless handheld piece that weighs about 10 ounces. The unit captures five recordings to generate a spectral reading, which an algorithm in the software unit analyzes. The study found a sensitivity of 95.5% and specificity of 32.5% for melanoma detection with the device.
The target market for DermaSensor is primary care physicians, and, according to the FDA announcement in January, it is indicated for evaluating skin lesions “suggestive” of melanoma, basal cell carcinoma (BCC), and/or squamous cell carcinoma (SCC) in patients aged 40 and older to “assist healthcare providers in determining whether to refer a patient to a dermatologist.”
So Many Cases, So Few Dermatologists
In dermatology, AI devices have the potential to streamline the crushing burden of diagnosing skin cancer, said Yun Liu, PhD, a senior staff scientist at Google Research, Mountain View, California, who’s worked on developing machine-learning tools in dermatology among other medical fields. “Many people cannot access dermatology expertise when they most need it, ie, without waiting a long time. This causes substantial morbidity for patients,” Dr. Liu said in an interview.
His own research of an AI-based tool to help primary care physicians and nurse practitioners in teledermatology practices diagnose skin conditions documented the shortage of dermatologists to triage lesions, including a finding that only about one quarter of skin conditions are seen by a specialist and that nonspecialists play a pivotal role in the management of skin lesions.
The Centers for Disease Control and Prevention reports that about 6.1 million adults are treated for BCC and SCCs each year. The American Medical Association estimates that 13,200 active dermatologists practice in the United States.
Overcoming Barriers to AI in Dermatology
Before AI makes significant inroads in dermatology, clinicians need to see more verifiable data, said Roxana Daneshjou, MD, PhD, assistant professor of biomedical data science and dermatology at Stanford University, Stanford, California. “One of the challenges is having the availability of models that actually improve clinical care because we have some very early prospective trials on different devices, but we don’t have large-scale randomized clinical trials of AI devices showing definitive behaviors such as improved patient outcomes, that it helps curb skin cancer, or it catches it like dermatologists but helps reduce the biopsy load,” she said. “You need good data.”
Another challenge she noted was overcoming biases built into medicine. “A lot of the image-based models are built on datasets depicting skin disease on White skin, and those models don’t work so well on people with brown and black skin, who have historically had worse outcomes and also have been underrepresented in dermatology,” said Dr. Daneshjou, an associate editor of NEJM AI.
There’s also the challenge of getting verified AI models into the clinic. “Similar to many medical AI endeavors, developing a proof-of-concept or research prototype is far easier and faster than bringing the development to real users,” Dr. Liu said. “In particular, it is important to conduct thorough validation studies on various patient populations and settings and understand how these AI tools can best fit into the workflow or patient journey.”
A study published in 2023 documented progress Google made in deploying AI models in retina specialty clinics in India and Thailand, Dr. Liu noted.
Another challenge is to avoid overdiagnosis with these new technologies, Dr. Hartman said. Her group’s study showed the DermaSensor had a positive predictive value of 16% and a negative predictive value of 98.5%. “I think there’s some question about how this will factor into overdiagnosis. Could this actually bombard dermatologists more if the positive predictive value’s only 16%?”
One key to dermatologists accepting AI tools is having a transparent process for validating them, Dr. Lee said. “Even with FDA clearance, we don’t have the transparency we need as clinicians, researchers, and advocates of machine learning and AI in healthcare.”
But, Dr. Lee noted, the FDA in June took a step toward illuminating its validation process when it adopted guiding principles for transparency for machine learning–enabled devices. “Once we can get more access to this information and have more transparency, that’s where we can think about actually about making the decision to implement or not implement into local healthcare settings,” she said. The process was further enabled by a White House executive order in October 2023 on the safe, secure, and trustworthy development and use of AI.
The experience with telehealth during the COVID-19 pandemic, when patients and providers quickly embraced the technology to stay connected, serves as a potential template for AI, Dr. Lee noted. “As we’d seen with telehealth through the pandemic, you also need the cultural evolution and the development of the infrastructure around it to actually make sure this is a sustainable implementation and a scalable implementation in healthcare.”
Dr. Lee had no relevant relationships to disclose. Dr. Hartman received funding from DermaSensor for a study. Dr. Witkowski is a cofounder of Sklip. Dr. Liu is an employee of Google Research. Dr. Daneshjou reported financial relationships with MD Algorithms, Revea, and L’Oreal.
A version of this article first appeared on Medscape.com.
Emerging
according to researchers and dermatologists investigating AI.While some AI-integrated devices designed to triage skin lesions have emerged, including one that received Food and Drug Administration (FDA) clearance earlier in 2024, it may be some time before AI has a meaningful clinical impact in dermatology and, more specifically, the diagnosis of skin cancer, Ivy Lee, MD, a dermatologist in Pasadena, California, and chair of the American Academy of Dermatology’s augmented intelligence committee, told this news organization.
“It hasn’t really translated into clinical practice yet,” Dr. Lee said of AI in dermatology. “There have been significant advances in terms of the technical possibility and feasibility of these tools, but the translation and integration of AI into actual clinical work flows to benefit patients beyond academic research studies has been limited.” More studies and more “easily accessible and digestible information” are needed to evaluate AI tools in dermatologic practice.
“In dermatology, we’re on a cusp with AI,” said Rebecca Hartman, MD, MPH, chief of dermatology at the VA Boston Healthcare System and director of melanoma epidemiology at Brigham and Women’s Hospital, Boston, Massachusetts. “I think it’s going to come and change what we do,” which is especially true for any image-based specialty,” including radiology and pathology, in addition to dermatology.
Dr. Hartman led a study of one of these emerging technologies, the handheld elastic scattering spectroscopy device DermaSensor, which was cleared by the FDA in January for evaluating skin lesions suggestive of skin cancer.
Early AI Devices for Skin Cancer Detection
At the American Society for Laser Medicine and Surgery (ASLMS) meeting in April, a panel explored a number of algorithms with dermatologic applications that use AI to triage skin lesions, including DermaSensor.
Raman spectroscopy, which contains a handheld Raman probe, a diode laser, and a detecting spectrograph. A laser beam — which at 1.56 W/cm2 is below the maximum permissible exposure — focuses on the skin target with a 3.5-mm spot, gathers data on the target, and feeds it back into the unit that houses the algorithm that evaluates the spot analysis. It’s still in the investigative phase. A clinical trial, published almost 5 years ago, demonstrated a sensitivity of 90%-99% and a specificity of 24%-66% for skin cancer.
A dermatoscope called Sklip clips onto a smartphone and performs what company cofounder Alexander Witkowski, MD, PhD, described as an “optical painless virtual biopsy” for at-home use. The device uploads the captured image to an AI platform for analysis. It received FDA breakthrough device designation in 2022. At the ASLMS meeting, Dr. Witkowski said that clinical performance showed the device had a 97% sensitivity and 30% specificity for skin cancer.
DermaSensor, described in the study conducted by Dr. Hartman and others as a noninvasive, point-and-click spectrometer, is a wireless handheld piece that weighs about 10 ounces. The unit captures five recordings to generate a spectral reading, which an algorithm in the software unit analyzes. The study found a sensitivity of 95.5% and specificity of 32.5% for melanoma detection with the device.
The target market for DermaSensor is primary care physicians, and, according to the FDA announcement in January, it is indicated for evaluating skin lesions “suggestive” of melanoma, basal cell carcinoma (BCC), and/or squamous cell carcinoma (SCC) in patients aged 40 and older to “assist healthcare providers in determining whether to refer a patient to a dermatologist.”
So Many Cases, So Few Dermatologists
In dermatology, AI devices have the potential to streamline the crushing burden of diagnosing skin cancer, said Yun Liu, PhD, a senior staff scientist at Google Research, Mountain View, California, who’s worked on developing machine-learning tools in dermatology among other medical fields. “Many people cannot access dermatology expertise when they most need it, ie, without waiting a long time. This causes substantial morbidity for patients,” Dr. Liu said in an interview.
His own research of an AI-based tool to help primary care physicians and nurse practitioners in teledermatology practices diagnose skin conditions documented the shortage of dermatologists to triage lesions, including a finding that only about one quarter of skin conditions are seen by a specialist and that nonspecialists play a pivotal role in the management of skin lesions.
The Centers for Disease Control and Prevention reports that about 6.1 million adults are treated for BCC and SCCs each year. The American Medical Association estimates that 13,200 active dermatologists practice in the United States.
Overcoming Barriers to AI in Dermatology
Before AI makes significant inroads in dermatology, clinicians need to see more verifiable data, said Roxana Daneshjou, MD, PhD, assistant professor of biomedical data science and dermatology at Stanford University, Stanford, California. “One of the challenges is having the availability of models that actually improve clinical care because we have some very early prospective trials on different devices, but we don’t have large-scale randomized clinical trials of AI devices showing definitive behaviors such as improved patient outcomes, that it helps curb skin cancer, or it catches it like dermatologists but helps reduce the biopsy load,” she said. “You need good data.”
Another challenge she noted was overcoming biases built into medicine. “A lot of the image-based models are built on datasets depicting skin disease on White skin, and those models don’t work so well on people with brown and black skin, who have historically had worse outcomes and also have been underrepresented in dermatology,” said Dr. Daneshjou, an associate editor of NEJM AI.
There’s also the challenge of getting verified AI models into the clinic. “Similar to many medical AI endeavors, developing a proof-of-concept or research prototype is far easier and faster than bringing the development to real users,” Dr. Liu said. “In particular, it is important to conduct thorough validation studies on various patient populations and settings and understand how these AI tools can best fit into the workflow or patient journey.”
A study published in 2023 documented progress Google made in deploying AI models in retina specialty clinics in India and Thailand, Dr. Liu noted.
Another challenge is to avoid overdiagnosis with these new technologies, Dr. Hartman said. Her group’s study showed the DermaSensor had a positive predictive value of 16% and a negative predictive value of 98.5%. “I think there’s some question about how this will factor into overdiagnosis. Could this actually bombard dermatologists more if the positive predictive value’s only 16%?”
One key to dermatologists accepting AI tools is having a transparent process for validating them, Dr. Lee said. “Even with FDA clearance, we don’t have the transparency we need as clinicians, researchers, and advocates of machine learning and AI in healthcare.”
But, Dr. Lee noted, the FDA in June took a step toward illuminating its validation process when it adopted guiding principles for transparency for machine learning–enabled devices. “Once we can get more access to this information and have more transparency, that’s where we can think about actually about making the decision to implement or not implement into local healthcare settings,” she said. The process was further enabled by a White House executive order in October 2023 on the safe, secure, and trustworthy development and use of AI.
The experience with telehealth during the COVID-19 pandemic, when patients and providers quickly embraced the technology to stay connected, serves as a potential template for AI, Dr. Lee noted. “As we’d seen with telehealth through the pandemic, you also need the cultural evolution and the development of the infrastructure around it to actually make sure this is a sustainable implementation and a scalable implementation in healthcare.”
Dr. Lee had no relevant relationships to disclose. Dr. Hartman received funding from DermaSensor for a study. Dr. Witkowski is a cofounder of Sklip. Dr. Liu is an employee of Google Research. Dr. Daneshjou reported financial relationships with MD Algorithms, Revea, and L’Oreal.
A version of this article first appeared on Medscape.com.
Emerging
according to researchers and dermatologists investigating AI.While some AI-integrated devices designed to triage skin lesions have emerged, including one that received Food and Drug Administration (FDA) clearance earlier in 2024, it may be some time before AI has a meaningful clinical impact in dermatology and, more specifically, the diagnosis of skin cancer, Ivy Lee, MD, a dermatologist in Pasadena, California, and chair of the American Academy of Dermatology’s augmented intelligence committee, told this news organization.
“It hasn’t really translated into clinical practice yet,” Dr. Lee said of AI in dermatology. “There have been significant advances in terms of the technical possibility and feasibility of these tools, but the translation and integration of AI into actual clinical work flows to benefit patients beyond academic research studies has been limited.” More studies and more “easily accessible and digestible information” are needed to evaluate AI tools in dermatologic practice.
“In dermatology, we’re on a cusp with AI,” said Rebecca Hartman, MD, MPH, chief of dermatology at the VA Boston Healthcare System and director of melanoma epidemiology at Brigham and Women’s Hospital, Boston, Massachusetts. “I think it’s going to come and change what we do,” which is especially true for any image-based specialty,” including radiology and pathology, in addition to dermatology.
Dr. Hartman led a study of one of these emerging technologies, the handheld elastic scattering spectroscopy device DermaSensor, which was cleared by the FDA in January for evaluating skin lesions suggestive of skin cancer.
Early AI Devices for Skin Cancer Detection
At the American Society for Laser Medicine and Surgery (ASLMS) meeting in April, a panel explored a number of algorithms with dermatologic applications that use AI to triage skin lesions, including DermaSensor.
Raman spectroscopy, which contains a handheld Raman probe, a diode laser, and a detecting spectrograph. A laser beam — which at 1.56 W/cm2 is below the maximum permissible exposure — focuses on the skin target with a 3.5-mm spot, gathers data on the target, and feeds it back into the unit that houses the algorithm that evaluates the spot analysis. It’s still in the investigative phase. A clinical trial, published almost 5 years ago, demonstrated a sensitivity of 90%-99% and a specificity of 24%-66% for skin cancer.
A dermatoscope called Sklip clips onto a smartphone and performs what company cofounder Alexander Witkowski, MD, PhD, described as an “optical painless virtual biopsy” for at-home use. The device uploads the captured image to an AI platform for analysis. It received FDA breakthrough device designation in 2022. At the ASLMS meeting, Dr. Witkowski said that clinical performance showed the device had a 97% sensitivity and 30% specificity for skin cancer.
DermaSensor, described in the study conducted by Dr. Hartman and others as a noninvasive, point-and-click spectrometer, is a wireless handheld piece that weighs about 10 ounces. The unit captures five recordings to generate a spectral reading, which an algorithm in the software unit analyzes. The study found a sensitivity of 95.5% and specificity of 32.5% for melanoma detection with the device.
The target market for DermaSensor is primary care physicians, and, according to the FDA announcement in January, it is indicated for evaluating skin lesions “suggestive” of melanoma, basal cell carcinoma (BCC), and/or squamous cell carcinoma (SCC) in patients aged 40 and older to “assist healthcare providers in determining whether to refer a patient to a dermatologist.”
So Many Cases, So Few Dermatologists
In dermatology, AI devices have the potential to streamline the crushing burden of diagnosing skin cancer, said Yun Liu, PhD, a senior staff scientist at Google Research, Mountain View, California, who’s worked on developing machine-learning tools in dermatology among other medical fields. “Many people cannot access dermatology expertise when they most need it, ie, without waiting a long time. This causes substantial morbidity for patients,” Dr. Liu said in an interview.
His own research of an AI-based tool to help primary care physicians and nurse practitioners in teledermatology practices diagnose skin conditions documented the shortage of dermatologists to triage lesions, including a finding that only about one quarter of skin conditions are seen by a specialist and that nonspecialists play a pivotal role in the management of skin lesions.
The Centers for Disease Control and Prevention reports that about 6.1 million adults are treated for BCC and SCCs each year. The American Medical Association estimates that 13,200 active dermatologists practice in the United States.
Overcoming Barriers to AI in Dermatology
Before AI makes significant inroads in dermatology, clinicians need to see more verifiable data, said Roxana Daneshjou, MD, PhD, assistant professor of biomedical data science and dermatology at Stanford University, Stanford, California. “One of the challenges is having the availability of models that actually improve clinical care because we have some very early prospective trials on different devices, but we don’t have large-scale randomized clinical trials of AI devices showing definitive behaviors such as improved patient outcomes, that it helps curb skin cancer, or it catches it like dermatologists but helps reduce the biopsy load,” she said. “You need good data.”
Another challenge she noted was overcoming biases built into medicine. “A lot of the image-based models are built on datasets depicting skin disease on White skin, and those models don’t work so well on people with brown and black skin, who have historically had worse outcomes and also have been underrepresented in dermatology,” said Dr. Daneshjou, an associate editor of NEJM AI.
There’s also the challenge of getting verified AI models into the clinic. “Similar to many medical AI endeavors, developing a proof-of-concept or research prototype is far easier and faster than bringing the development to real users,” Dr. Liu said. “In particular, it is important to conduct thorough validation studies on various patient populations and settings and understand how these AI tools can best fit into the workflow or patient journey.”
A study published in 2023 documented progress Google made in deploying AI models in retina specialty clinics in India and Thailand, Dr. Liu noted.
Another challenge is to avoid overdiagnosis with these new technologies, Dr. Hartman said. Her group’s study showed the DermaSensor had a positive predictive value of 16% and a negative predictive value of 98.5%. “I think there’s some question about how this will factor into overdiagnosis. Could this actually bombard dermatologists more if the positive predictive value’s only 16%?”
One key to dermatologists accepting AI tools is having a transparent process for validating them, Dr. Lee said. “Even with FDA clearance, we don’t have the transparency we need as clinicians, researchers, and advocates of machine learning and AI in healthcare.”
But, Dr. Lee noted, the FDA in June took a step toward illuminating its validation process when it adopted guiding principles for transparency for machine learning–enabled devices. “Once we can get more access to this information and have more transparency, that’s where we can think about actually about making the decision to implement or not implement into local healthcare settings,” she said. The process was further enabled by a White House executive order in October 2023 on the safe, secure, and trustworthy development and use of AI.
The experience with telehealth during the COVID-19 pandemic, when patients and providers quickly embraced the technology to stay connected, serves as a potential template for AI, Dr. Lee noted. “As we’d seen with telehealth through the pandemic, you also need the cultural evolution and the development of the infrastructure around it to actually make sure this is a sustainable implementation and a scalable implementation in healthcare.”
Dr. Lee had no relevant relationships to disclose. Dr. Hartman received funding from DermaSensor for a study. Dr. Witkowski is a cofounder of Sklip. Dr. Liu is an employee of Google Research. Dr. Daneshjou reported financial relationships with MD Algorithms, Revea, and L’Oreal.
A version of this article first appeared on Medscape.com.
Immunotherapy May Be Overused in Dying Patients With Cancer
Chemotherapy has fallen out of favor for treating cancer toward the end of life. The toxicity is too high, and the benefit, if any, is often too low.
Immunotherapy, however, has been taking its place.
This means “there are patients who are getting immunotherapy who shouldn’t,” said Yale University, New Haven, Connecticut, surgical oncologist Sajid Khan, MD, senior investigator on a recent study that highlighted the growing use of these agents in patients’ last month of life.
What’s driving this trend, and how can oncologists avoid overtreatment with immunotherapy at the end of life?
The N-of-1 Patient
With immunotherapy at the end of life, “each of us has had our N-of-1” where a patient bounces back with a remarkable and durable response, said Don Dizon, MD, a gynecologic oncologist at Brown University, Providence, Rhode Island.
He recalled a patient with sarcoma who did not respond to chemotherapy. But after Dr. Dizon started her on immunotherapy, everything turned around. She has now been in remission for 8 years and counting.
The possibility of an unexpected or remarkable responder is seductive. And the improved safety of immunotherapy over chemotherapy adds to the allure.
Meanwhile, patients are often desperate. It’s rare for someone to be ready to stop treatment, Dr. Dizon said. Everybody “hopes that they’re going to be the exceptional responder.”
At the end of the day, the question often becomes: “Why not try immunotherapy? What’s there to lose?”
This thinking may be prompting broader use of immunotherapy in late-stage disease, even in instances with no Food and Drug Administration indication and virtually no supportive data, such as for metastatic ovarian cancer, Dr. Dizon said.
Back to Earth
The problem with the hopeful approach is that end-of-life turnarounds with immunotherapy are rare, and there’s no way at the moment to predict who will have one, said Laura Petrillo, MD, a palliative care physician at Massachusetts General Hospital, Boston.
Even though immunotherapy generally comes with fewer adverse events than chemotherapy, catastrophic side effects are still possible.
Dr. Petrillo recalled a 95-year-old woman with metastatic cancer who was largely asymptomatic.
She had a qualifying mutation for a checkpoint inhibitor, so her oncologist started her on one. The patient never bounced back from the severe colitis the agent caused, and she died of complications in the hospital.
Although such reactions with immunotherapy are uncommon, less serious problems caused by the agents can still have a major impact on a person’s quality of life. Low-grade diarrhea, for instance, may not sound too bad, but in a patient’s daily life, it can translate to six or more episodes a day.
Even with no side effects, prescribing immunotherapy can mean that patients with limited time left spend a good portion of it at an infusion clinic instead of at home. These patients are also less likely to be referred to hospice and more likely to be admitted to and die in the hospital.
And with treatments that can cost $20,000 per dose, financial toxicity becomes a big concern.
In short, some of the reasons why chemotherapy is not recommended at the end of life also apply to immunotherapy, Dr. Petrillo said.
Prescribing Decisions
Recent research highlights the growing use of immunotherapy at the end of life.
Dr. Khan’s retrospective study found, for instance, that the percentage of patients starting immunotherapy in the last 30 days of life increased by about fourfold to fivefold over the study period for the three cancers analyzed — stage IV melanoma, lung, and kidney cancers.
Among the population that died within 30 days, the percentage receiving immunotherapy increased over the study periods — 0.8%-4.3% for melanoma, 0.9%-3.2% for NSCLC, and 0.5%-2.6% for kidney cell carcinoma — prompting the conclusion that immunotherapy prescriptions in the last month of life are on the rise.
Prescribing immunotherapy in patients who ultimately died within 1 month occurred more frequently at low-volume, nonacademic centers than at academic or high-volume centers, and outcomes varied by practice setting.
Patients had better survival outcomes overall when receiving immunotherapy at academic or high-volume centers — a finding Dr. Khan said is worth investigating further. Possible explanations include better management of severe immune-related side effects at larger centers and more caution when prescribing immunotherapy to “borderline” candidates, such as those with several comorbidities.
Importantly, given the retrospective design, Dr. Khan and colleagues already knew which patients prescribed immunotherapy died within 30 days of initiating treatment.
More specifically, 5192 of 71,204 patients who received immunotherapy (7.3%) died within a month of initiating therapy, while 66,012 (92.7%) lived beyond that point.
The study, however, did not assess how the remaining 92.7% who lived beyond 30 days fared on immunotherapy and the differences between those who lived less than 30 days and those who survived longer.
Knowing the outcome of patients at the outset of the analysis still leaves open the question of when immunotherapy can extend life and when it can’t for the patient in front of you.
To avoid overtreating at the end of life, it’s important to have “the same standard that you have for giving chemotherapy. You have to treat it with the same respect,” said Moshe Chasky, MD, a community medical oncologist with Alliance Cancer Specialists in Philadelphia, Pennsylvania. “You can’t just be throwing” immunotherapy around “at the end of life.”
While there are no clear predictors of risk and benefit, there are some factors to help guide decisions.
As with chemotherapy, Dr. Petrillo said performance status is key. Dr. Petrillo and colleagues found that median overall survival with immune checkpoint inhibitors for advanced non–small cell lung cancer was 14.3 months in patients with an Eastern Cooperative Oncology Group performance score of 0-1 but only 4.5 months with scores of ≥ 2.
Dr. Khan also found that immunotherapy survival is, unsurprisingly, worse in patients with high metastatic burdens and more comorbidities.
“You should still consider immunotherapy for metastatic melanoma, non–small cell lung cancer, and renal cell carcinoma,” Dr. Khan said. The message here is to “think twice before using” it, especially in comorbid patients with widespread metastases.
“Just because something can be done doesn’t always mean it should be done,” he said.
At Yale, when Dr. Khan works, immunotherapy decisions are considered by a multidisciplinary tumor board. At Mass General, immunotherapy has generally moved to the frontline setting, and the hospital no longer prescribes checkpoint inhibitors to hospitalized patients because the cost is too high relative to the potential benefit, Dr. Petrillo explained.
Still, with all the uncertainties about risk and benefit, counseling patients is a challenge. Dr. Dizon called it “the epitome of shared decision-making.”
Dr. Petrillo noted that it’s critical not to counsel patients based solely on the anecdotal patients who do surprisingly well.
“It’s hard to mention that and not have that be what somebody anchors on,” she said. But that speaks to “how desperate people can feel, how hopeful they can be.”
Dr. Khan, Dr. Petrillo, and Dr. Chasky all reported no relevant conflicts of interest.
A version of this article first appeared on Medscape.com.
Chemotherapy has fallen out of favor for treating cancer toward the end of life. The toxicity is too high, and the benefit, if any, is often too low.
Immunotherapy, however, has been taking its place.
This means “there are patients who are getting immunotherapy who shouldn’t,” said Yale University, New Haven, Connecticut, surgical oncologist Sajid Khan, MD, senior investigator on a recent study that highlighted the growing use of these agents in patients’ last month of life.
What’s driving this trend, and how can oncologists avoid overtreatment with immunotherapy at the end of life?
The N-of-1 Patient
With immunotherapy at the end of life, “each of us has had our N-of-1” where a patient bounces back with a remarkable and durable response, said Don Dizon, MD, a gynecologic oncologist at Brown University, Providence, Rhode Island.
He recalled a patient with sarcoma who did not respond to chemotherapy. But after Dr. Dizon started her on immunotherapy, everything turned around. She has now been in remission for 8 years and counting.
The possibility of an unexpected or remarkable responder is seductive. And the improved safety of immunotherapy over chemotherapy adds to the allure.
Meanwhile, patients are often desperate. It’s rare for someone to be ready to stop treatment, Dr. Dizon said. Everybody “hopes that they’re going to be the exceptional responder.”
At the end of the day, the question often becomes: “Why not try immunotherapy? What’s there to lose?”
This thinking may be prompting broader use of immunotherapy in late-stage disease, even in instances with no Food and Drug Administration indication and virtually no supportive data, such as for metastatic ovarian cancer, Dr. Dizon said.
Back to Earth
The problem with the hopeful approach is that end-of-life turnarounds with immunotherapy are rare, and there’s no way at the moment to predict who will have one, said Laura Petrillo, MD, a palliative care physician at Massachusetts General Hospital, Boston.
Even though immunotherapy generally comes with fewer adverse events than chemotherapy, catastrophic side effects are still possible.
Dr. Petrillo recalled a 95-year-old woman with metastatic cancer who was largely asymptomatic.
She had a qualifying mutation for a checkpoint inhibitor, so her oncologist started her on one. The patient never bounced back from the severe colitis the agent caused, and she died of complications in the hospital.
Although such reactions with immunotherapy are uncommon, less serious problems caused by the agents can still have a major impact on a person’s quality of life. Low-grade diarrhea, for instance, may not sound too bad, but in a patient’s daily life, it can translate to six or more episodes a day.
Even with no side effects, prescribing immunotherapy can mean that patients with limited time left spend a good portion of it at an infusion clinic instead of at home. These patients are also less likely to be referred to hospice and more likely to be admitted to and die in the hospital.
And with treatments that can cost $20,000 per dose, financial toxicity becomes a big concern.
In short, some of the reasons why chemotherapy is not recommended at the end of life also apply to immunotherapy, Dr. Petrillo said.
Prescribing Decisions
Recent research highlights the growing use of immunotherapy at the end of life.
Dr. Khan’s retrospective study found, for instance, that the percentage of patients starting immunotherapy in the last 30 days of life increased by about fourfold to fivefold over the study period for the three cancers analyzed — stage IV melanoma, lung, and kidney cancers.
Among the population that died within 30 days, the percentage receiving immunotherapy increased over the study periods — 0.8%-4.3% for melanoma, 0.9%-3.2% for NSCLC, and 0.5%-2.6% for kidney cell carcinoma — prompting the conclusion that immunotherapy prescriptions in the last month of life are on the rise.
Prescribing immunotherapy in patients who ultimately died within 1 month occurred more frequently at low-volume, nonacademic centers than at academic or high-volume centers, and outcomes varied by practice setting.
Patients had better survival outcomes overall when receiving immunotherapy at academic or high-volume centers — a finding Dr. Khan said is worth investigating further. Possible explanations include better management of severe immune-related side effects at larger centers and more caution when prescribing immunotherapy to “borderline” candidates, such as those with several comorbidities.
Importantly, given the retrospective design, Dr. Khan and colleagues already knew which patients prescribed immunotherapy died within 30 days of initiating treatment.
More specifically, 5192 of 71,204 patients who received immunotherapy (7.3%) died within a month of initiating therapy, while 66,012 (92.7%) lived beyond that point.
The study, however, did not assess how the remaining 92.7% who lived beyond 30 days fared on immunotherapy and the differences between those who lived less than 30 days and those who survived longer.
Knowing the outcome of patients at the outset of the analysis still leaves open the question of when immunotherapy can extend life and when it can’t for the patient in front of you.
To avoid overtreating at the end of life, it’s important to have “the same standard that you have for giving chemotherapy. You have to treat it with the same respect,” said Moshe Chasky, MD, a community medical oncologist with Alliance Cancer Specialists in Philadelphia, Pennsylvania. “You can’t just be throwing” immunotherapy around “at the end of life.”
While there are no clear predictors of risk and benefit, there are some factors to help guide decisions.
As with chemotherapy, Dr. Petrillo said performance status is key. Dr. Petrillo and colleagues found that median overall survival with immune checkpoint inhibitors for advanced non–small cell lung cancer was 14.3 months in patients with an Eastern Cooperative Oncology Group performance score of 0-1 but only 4.5 months with scores of ≥ 2.
Dr. Khan also found that immunotherapy survival is, unsurprisingly, worse in patients with high metastatic burdens and more comorbidities.
“You should still consider immunotherapy for metastatic melanoma, non–small cell lung cancer, and renal cell carcinoma,” Dr. Khan said. The message here is to “think twice before using” it, especially in comorbid patients with widespread metastases.
“Just because something can be done doesn’t always mean it should be done,” he said.
At Yale, when Dr. Khan works, immunotherapy decisions are considered by a multidisciplinary tumor board. At Mass General, immunotherapy has generally moved to the frontline setting, and the hospital no longer prescribes checkpoint inhibitors to hospitalized patients because the cost is too high relative to the potential benefit, Dr. Petrillo explained.
Still, with all the uncertainties about risk and benefit, counseling patients is a challenge. Dr. Dizon called it “the epitome of shared decision-making.”
Dr. Petrillo noted that it’s critical not to counsel patients based solely on the anecdotal patients who do surprisingly well.
“It’s hard to mention that and not have that be what somebody anchors on,” she said. But that speaks to “how desperate people can feel, how hopeful they can be.”
Dr. Khan, Dr. Petrillo, and Dr. Chasky all reported no relevant conflicts of interest.
A version of this article first appeared on Medscape.com.
Chemotherapy has fallen out of favor for treating cancer toward the end of life. The toxicity is too high, and the benefit, if any, is often too low.
Immunotherapy, however, has been taking its place.
This means “there are patients who are getting immunotherapy who shouldn’t,” said Yale University, New Haven, Connecticut, surgical oncologist Sajid Khan, MD, senior investigator on a recent study that highlighted the growing use of these agents in patients’ last month of life.
What’s driving this trend, and how can oncologists avoid overtreatment with immunotherapy at the end of life?
The N-of-1 Patient
With immunotherapy at the end of life, “each of us has had our N-of-1” where a patient bounces back with a remarkable and durable response, said Don Dizon, MD, a gynecologic oncologist at Brown University, Providence, Rhode Island.
He recalled a patient with sarcoma who did not respond to chemotherapy. But after Dr. Dizon started her on immunotherapy, everything turned around. She has now been in remission for 8 years and counting.
The possibility of an unexpected or remarkable responder is seductive. And the improved safety of immunotherapy over chemotherapy adds to the allure.
Meanwhile, patients are often desperate. It’s rare for someone to be ready to stop treatment, Dr. Dizon said. Everybody “hopes that they’re going to be the exceptional responder.”
At the end of the day, the question often becomes: “Why not try immunotherapy? What’s there to lose?”
This thinking may be prompting broader use of immunotherapy in late-stage disease, even in instances with no Food and Drug Administration indication and virtually no supportive data, such as for metastatic ovarian cancer, Dr. Dizon said.
Back to Earth
The problem with the hopeful approach is that end-of-life turnarounds with immunotherapy are rare, and there’s no way at the moment to predict who will have one, said Laura Petrillo, MD, a palliative care physician at Massachusetts General Hospital, Boston.
Even though immunotherapy generally comes with fewer adverse events than chemotherapy, catastrophic side effects are still possible.
Dr. Petrillo recalled a 95-year-old woman with metastatic cancer who was largely asymptomatic.
She had a qualifying mutation for a checkpoint inhibitor, so her oncologist started her on one. The patient never bounced back from the severe colitis the agent caused, and she died of complications in the hospital.
Although such reactions with immunotherapy are uncommon, less serious problems caused by the agents can still have a major impact on a person’s quality of life. Low-grade diarrhea, for instance, may not sound too bad, but in a patient’s daily life, it can translate to six or more episodes a day.
Even with no side effects, prescribing immunotherapy can mean that patients with limited time left spend a good portion of it at an infusion clinic instead of at home. These patients are also less likely to be referred to hospice and more likely to be admitted to and die in the hospital.
And with treatments that can cost $20,000 per dose, financial toxicity becomes a big concern.
In short, some of the reasons why chemotherapy is not recommended at the end of life also apply to immunotherapy, Dr. Petrillo said.
Prescribing Decisions
Recent research highlights the growing use of immunotherapy at the end of life.
Dr. Khan’s retrospective study found, for instance, that the percentage of patients starting immunotherapy in the last 30 days of life increased by about fourfold to fivefold over the study period for the three cancers analyzed — stage IV melanoma, lung, and kidney cancers.
Among the population that died within 30 days, the percentage receiving immunotherapy increased over the study periods — 0.8%-4.3% for melanoma, 0.9%-3.2% for NSCLC, and 0.5%-2.6% for kidney cell carcinoma — prompting the conclusion that immunotherapy prescriptions in the last month of life are on the rise.
Prescribing immunotherapy in patients who ultimately died within 1 month occurred more frequently at low-volume, nonacademic centers than at academic or high-volume centers, and outcomes varied by practice setting.
Patients had better survival outcomes overall when receiving immunotherapy at academic or high-volume centers — a finding Dr. Khan said is worth investigating further. Possible explanations include better management of severe immune-related side effects at larger centers and more caution when prescribing immunotherapy to “borderline” candidates, such as those with several comorbidities.
Importantly, given the retrospective design, Dr. Khan and colleagues already knew which patients prescribed immunotherapy died within 30 days of initiating treatment.
More specifically, 5192 of 71,204 patients who received immunotherapy (7.3%) died within a month of initiating therapy, while 66,012 (92.7%) lived beyond that point.
The study, however, did not assess how the remaining 92.7% who lived beyond 30 days fared on immunotherapy and the differences between those who lived less than 30 days and those who survived longer.
Knowing the outcome of patients at the outset of the analysis still leaves open the question of when immunotherapy can extend life and when it can’t for the patient in front of you.
To avoid overtreating at the end of life, it’s important to have “the same standard that you have for giving chemotherapy. You have to treat it with the same respect,” said Moshe Chasky, MD, a community medical oncologist with Alliance Cancer Specialists in Philadelphia, Pennsylvania. “You can’t just be throwing” immunotherapy around “at the end of life.”
While there are no clear predictors of risk and benefit, there are some factors to help guide decisions.
As with chemotherapy, Dr. Petrillo said performance status is key. Dr. Petrillo and colleagues found that median overall survival with immune checkpoint inhibitors for advanced non–small cell lung cancer was 14.3 months in patients with an Eastern Cooperative Oncology Group performance score of 0-1 but only 4.5 months with scores of ≥ 2.
Dr. Khan also found that immunotherapy survival is, unsurprisingly, worse in patients with high metastatic burdens and more comorbidities.
“You should still consider immunotherapy for metastatic melanoma, non–small cell lung cancer, and renal cell carcinoma,” Dr. Khan said. The message here is to “think twice before using” it, especially in comorbid patients with widespread metastases.
“Just because something can be done doesn’t always mean it should be done,” he said.
At Yale, when Dr. Khan works, immunotherapy decisions are considered by a multidisciplinary tumor board. At Mass General, immunotherapy has generally moved to the frontline setting, and the hospital no longer prescribes checkpoint inhibitors to hospitalized patients because the cost is too high relative to the potential benefit, Dr. Petrillo explained.
Still, with all the uncertainties about risk and benefit, counseling patients is a challenge. Dr. Dizon called it “the epitome of shared decision-making.”
Dr. Petrillo noted that it’s critical not to counsel patients based solely on the anecdotal patients who do surprisingly well.
“It’s hard to mention that and not have that be what somebody anchors on,” she said. But that speaks to “how desperate people can feel, how hopeful they can be.”
Dr. Khan, Dr. Petrillo, and Dr. Chasky all reported no relevant conflicts of interest.
A version of this article first appeared on Medscape.com.