Lung Cancer

In this edition of “How I Will Treat My Next Patient,” I highlight the potential role of new models for predicting risks of common, clinically important situations in general oncology practice: severe neutropenia in lung cancer patients and locoregional recurrence of breast cancer.

Predicting neutropenia

Accurate, lung cancer–specific prediction models would be useful to estimate risk of chemotherapy-induced neutropenia (CIN), especially febrile neutropenia (FN), since that particular toxicity is linked to infection, dose delays and dose reductions that can compromise treatment efficacy, and poor health-related quality of life. Lung cancer patients are often older adults, with advanced disease and comorbid conditions, so they are a particularly vulnerable population for CIN.

Xiaowen Cao of Duke University, Durham, N.C., and coinvestigators published a model for predicting risk of severe CIN in advanced lung cancer patients, based on 10 pretreatment variables (Lung Cancer. 2020 Jan 5. doi: 10.1016/j.lungcan.2020.01.004). They developed their model to overcome limitations of the previously published work of Gary H. Lyman, MD, and colleagues that is not specific to lung cancer and incorporated relative dose intensity as a predictor (Cancer. 2011;117:1917-27). Relative dose intensity is not determined until after a treatment course is completed.

The new prediction model was based on a lung cancer data set encompassing 11,352 patients from 67 phase 2-3 cooperative group studies conducted between 1991 and 2010. In this data set, the Lyman model had an area under the curve of 0.8772 in patients with small cell lung cancer, but an area under the curve of just 0.6787 in non–small cell lung cancer.

The derivation model was derived from about two-thirds of the patients, randomly selected. The validation set was conducted using the remaining third. The variables included were readily clinically available: age, gender, weight, body mass index, insurance status, disease stage, number of metastatic sites, chemotherapy agents used, number of chemotherapy agents, planned growth factor use, duration of planned therapy, pleural effusion, presence of symptoms, and performance status. Their model had an area under the curve of 0.8348 in the training set and 0.8234 in the testing set.
 

How these results influence practice

The risk of an initial episode of FN is highest during a patient’s initial cycle of chemotherapy, when most patients are receiving full-dose treatment, often without prophylactic measures. Guidelines from the National Comprehensive Cancer Network suggest the use of prophylactic growth factors in patients with more than a 20% risk of FN, and considering using prophylaxis in patients with 10%-20% risk of FN. Underestimating those risks and failure to take adequate precautions may be particularly important for patients with lung cancer who are generally older adults, with comorbid conditions.

The comprehensive risk model for neutropenic complications that was developed by Dr. Lyman and colleagues was based on a large, prospective cohort including nearly 3,800 patients. The model had a 90% sensitivity and 96% predictive value, but was not lung cancer specific and, in this latest study, did not perform as well in the 85% of lung cancer patients with non–small cell lung cancer. The Lyman data, however, was obtained in cancer patients treated with investigator-choice chemotherapy in community practices. It remains the National Comprehensive Cancer Network standard for evaluating FN risk in patients embarking on chemotherapy for advanced malignancies. That should remain the case, pending the additional validation testing of the new lung cancer–specific model at independent institutions, treating heterogeneous patients in real-world settings.
 

Locoregional recurrence

A retrospective cohort analysis of SWOG 8814, a phase 3 study of tamoxifen alone versus chemotherapy plus by tamoxifen in postmenopausal, node-positive, hormone receptor–positive breast cancer patients suggests that the 21-gene assay recurrence score (RS) can aid decisions about radiotherapy (RT).

Wendy A. Woodward, MD, PhD, and colleagues, analyzed patients who underwent mastectomy or breast-conserving surgery as their local therapy (JAMA Oncol. 2020 Jan 9. doi: 10.1001/jamaoncol.2019.5559). They found that patients with an intermediate or high RS – according to the 21-gene assay OncotypeDX – had more locoregional recurrences (LRR; breast, chest wall, axilla, internal mammary, supraclavicular or infraclavicular nodes).

There were 367 patients in SWOG 8814 who received tamoxifen alone or cyclophosphamide, doxorubicin, and fluorouracil followed by tamoxifen. LRR was observed in 5.8% of patients with a low RS (less than 18) and in 13.8% of patients with an intermediate or high RS (more than 18). The estimated 10-year cumulative LRR incidence rates were 9.7% and 16.5%, respectively (P = .02).

In the subset of patients with one to three positive nodes who had mastectomy without radiotherapy, the LRR was 1.5% for those with low RS and 11.1% for those with intermediate or high RS (P = .051). No difference by RS was found in the 10-year rates of LRR among patients with four or more involved nodes who received a mastectomy without RT (25.9% vs. 27.0%; P = .27).

In multivariate analysis, incorporating RS, type of surgery, and number of involved nodes, intermediate or high RS was a significant predictor of LRR, with a hazard ratio of 2.36 (P = .04). The investigators suggested that RS, when available, should be one of the factors considered in selecting patients for postmastectomy RT.
 

How these results influence practice

Selecting the node-positive, hormone receptor–positive, breast cancer patients who should receive postmastectomy RT is difficult and controversial. This is particularly true for those postmenopausal patients with fewer than four involved nodes, no lymphatic or vascular invasion, and no extracapsular spread of disease into the axillary fat. Limited information exists on the ability of genomic assays to identify LRR risk.

Eleftherios P. Mamounas, MD, and colleagues examined the results of NSABP B-28, a trial of chemotherapy plus tamoxifen (J Natl Cancer Inst. 2017;109[4]. doi:10.1093/jnci/djw259). Postmastectomy RT was not permitted. They found high RS correlated with greater LRR and low RS with decreased LRR among patients with one to three positive nodes. At first blush, the prospectively treated cohort of SWOG 8814 represents a uniformly treated cohort with long-term follow-up (median, 8.5 years) and extends in an independent analysis the findings of NSABP B-28.

However, as Dr. Woodward and colleagues point out, the current study has limitations. The use of RT was extracted retrospectively and may be underreported. More modern chemotherapy and RT may lower LRR from the risks observed in SWOG 8814. Finally, the modest numbers of LRR events precluded secondary analysis of RS as a continuous variable. This is important because the risk group cutoffs suggested by the authors are not aligned with those in the recently published TailorRx study or the ongoing RxPonder trial.

The TailorRT (Regional Radiotherapy in Biomarker Low Risk Node Positive Breast Cancer) study examines the safety of omitting RT among patients with low RS and one to three positive nodes. Until the TailorRT results are reported, the controversy regarding the role of postmastectomy RT in this group will continue for patients with low nodal tumor burden and less aggressive tumor features, including low RS.

An observed LRR risk of 11.1% in SWOG 8814 among patients with N1 disease and an RS above 18 suggest that genomic risk could be one of the factors that may justify postmastectomy RT in postmenopausal patients with node-positive, hormone receptor–positive breast cancer until additional data emerge from the contemporary trials.

Dr. Lyss has been a community-based medical oncologist and clinical researcher for more than 35 years, practicing in St. Louis. His clinical and research interests are in the prevention, diagnosis, and treatment of breast and lung cancers and in expanding access to clinical trials to medically underserved populations.

In this edition of “How I Will Treat My Next Patient,” I highlight the potential role of new models for predicting risks of common, clinically important situations in general oncology practice: severe neutropenia in lung cancer patients and locoregional recurrence of breast cancer.

Predicting neutropenia

Accurate, lung cancer–specific prediction models would be useful to estimate risk of chemotherapy-induced neutropenia (CIN), especially febrile neutropenia (FN), since that particular toxicity is linked to infection, dose delays and dose reductions that can compromise treatment efficacy, and poor health-related quality of life. Lung cancer patients are often older adults, with advanced disease and comorbid conditions, so they are a particularly vulnerable population for CIN.

Xiaowen Cao of Duke University, Durham, N.C., and coinvestigators published a model for predicting risk of severe CIN in advanced lung cancer patients, based on 10 pretreatment variables (Lung Cancer. 2020 Jan 5. doi: 10.1016/j.lungcan.2020.01.004). They developed their model to overcome limitations of the previously published work of Gary H. Lyman, MD, and colleagues that is not specific to lung cancer and incorporated relative dose intensity as a predictor (Cancer. 2011;117:1917-27). Relative dose intensity is not determined until after a treatment course is completed.

The new prediction model was based on a lung cancer data set encompassing 11,352 patients from 67 phase 2-3 cooperative group studies conducted between 1991 and 2010. In this data set, the Lyman model had an area under the curve of 0.8772 in patients with small cell lung cancer, but an area under the curve of just 0.6787 in non–small cell lung cancer.

The derivation model was derived from about two-thirds of the patients, randomly selected. The validation set was conducted using the remaining third. The variables included were readily clinically available: age, gender, weight, body mass index, insurance status, disease stage, number of metastatic sites, chemotherapy agents used, number of chemotherapy agents, planned growth factor use, duration of planned therapy, pleural effusion, presence of symptoms, and performance status. Their model had an area under the curve of 0.8348 in the training set and 0.8234 in the testing set.
 

How these results influence practice

The risk of an initial episode of FN is highest during a patient’s initial cycle of chemotherapy, when most patients are receiving full-dose treatment, often without prophylactic measures. Guidelines from the National Comprehensive Cancer Network suggest the use of prophylactic growth factors in patients with more than a 20% risk of FN, and considering using prophylaxis in patients with 10%-20% risk of FN. Underestimating those risks and failure to take adequate precautions may be particularly important for patients with lung cancer who are generally older adults, with comorbid conditions.

The comprehensive risk model for neutropenic complications that was developed by Dr. Lyman and colleagues was based on a large, prospective cohort including nearly 3,800 patients. The model had a 90% sensitivity and 96% predictive value, but was not lung cancer specific and, in this latest study, did not perform as well in the 85% of lung cancer patients with non–small cell lung cancer. The Lyman data, however, was obtained in cancer patients treated with investigator-choice chemotherapy in community practices. It remains the National Comprehensive Cancer Network standard for evaluating FN risk in patients embarking on chemotherapy for advanced malignancies. That should remain the case, pending the additional validation testing of the new lung cancer–specific model at independent institutions, treating heterogeneous patients in real-world settings.
 

Locoregional recurrence

A retrospective cohort analysis of SWOG 8814, a phase 3 study of tamoxifen alone versus chemotherapy plus by tamoxifen in postmenopausal, node-positive, hormone receptor–positive breast cancer patients suggests that the 21-gene assay recurrence score (RS) can aid decisions about radiotherapy (RT).

Wendy A. Woodward, MD, PhD, and colleagues, analyzed patients who underwent mastectomy or breast-conserving surgery as their local therapy (JAMA Oncol. 2020 Jan 9. doi: 10.1001/jamaoncol.2019.5559). They found that patients with an intermediate or high RS – according to the 21-gene assay OncotypeDX – had more locoregional recurrences (LRR; breast, chest wall, axilla, internal mammary, supraclavicular or infraclavicular nodes).

There were 367 patients in SWOG 8814 who received tamoxifen alone or cyclophosphamide, doxorubicin, and fluorouracil followed by tamoxifen. LRR was observed in 5.8% of patients with a low RS (less than 18) and in 13.8% of patients with an intermediate or high RS (more than 18). The estimated 10-year cumulative LRR incidence rates were 9.7% and 16.5%, respectively (P = .02).

In the subset of patients with one to three positive nodes who had mastectomy without radiotherapy, the LRR was 1.5% for those with low RS and 11.1% for those with intermediate or high RS (P = .051). No difference by RS was found in the 10-year rates of LRR among patients with four or more involved nodes who received a mastectomy without RT (25.9% vs. 27.0%; P = .27).

In multivariate analysis, incorporating RS, type of surgery, and number of involved nodes, intermediate or high RS was a significant predictor of LRR, with a hazard ratio of 2.36 (P = .04). The investigators suggested that RS, when available, should be one of the factors considered in selecting patients for postmastectomy RT.
 

How these results influence practice

Selecting the node-positive, hormone receptor–positive, breast cancer patients who should receive postmastectomy RT is difficult and controversial. This is particularly true for those postmenopausal patients with fewer than four involved nodes, no lymphatic or vascular invasion, and no extracapsular spread of disease into the axillary fat. Limited information exists on the ability of genomic assays to identify LRR risk.

Eleftherios P. Mamounas, MD, and colleagues examined the results of NSABP B-28, a trial of chemotherapy plus tamoxifen (J Natl Cancer Inst. 2017;109[4]. doi:10.1093/jnci/djw259). Postmastectomy RT was not permitted. They found high RS correlated with greater LRR and low RS with decreased LRR among patients with one to three positive nodes. At first blush, the prospectively treated cohort of SWOG 8814 represents a uniformly treated cohort with long-term follow-up (median, 8.5 years) and extends in an independent analysis the findings of NSABP B-28.

However, as Dr. Woodward and colleagues point out, the current study has limitations. The use of RT was extracted retrospectively and may be underreported. More modern chemotherapy and RT may lower LRR from the risks observed in SWOG 8814. Finally, the modest numbers of LRR events precluded secondary analysis of RS as a continuous variable. This is important because the risk group cutoffs suggested by the authors are not aligned with those in the recently published TailorRx study or the ongoing RxPonder trial.

The TailorRT (Regional Radiotherapy in Biomarker Low Risk Node Positive Breast Cancer) study examines the safety of omitting RT among patients with low RS and one to three positive nodes. Until the TailorRT results are reported, the controversy regarding the role of postmastectomy RT in this group will continue for patients with low nodal tumor burden and less aggressive tumor features, including low RS.

An observed LRR risk of 11.1% in SWOG 8814 among patients with N1 disease and an RS above 18 suggest that genomic risk could be one of the factors that may justify postmastectomy RT in postmenopausal patients with node-positive, hormone receptor–positive breast cancer until additional data emerge from the contemporary trials.

Dr. Lyss has been a community-based medical oncologist and clinical researcher for more than 35 years, practicing in St. Louis. His clinical and research interests are in the prevention, diagnosis, and treatment of breast and lung cancers and in expanding access to clinical trials to medically underserved populations.

In this edition of “How I Will Treat My Next Patient,” I highlight the potential role of new models for predicting risks of common, clinically important situations in general oncology practice: severe neutropenia in lung cancer patients and locoregional recurrence of breast cancer.

Predicting neutropenia

Accurate, lung cancer–specific prediction models would be useful to estimate risk of chemotherapy-induced neutropenia (CIN), especially febrile neutropenia (FN), since that particular toxicity is linked to infection, dose delays and dose reductions that can compromise treatment efficacy, and poor health-related quality of life. Lung cancer patients are often older adults, with advanced disease and comorbid conditions, so they are a particularly vulnerable population for CIN.

Xiaowen Cao of Duke University, Durham, N.C., and coinvestigators published a model for predicting risk of severe CIN in advanced lung cancer patients, based on 10 pretreatment variables (Lung Cancer. 2020 Jan 5. doi: 10.1016/j.lungcan.2020.01.004). They developed their model to overcome limitations of the previously published work of Gary H. Lyman, MD, and colleagues that is not specific to lung cancer and incorporated relative dose intensity as a predictor (Cancer. 2011;117:1917-27). Relative dose intensity is not determined until after a treatment course is completed.

The new prediction model was based on a lung cancer data set encompassing 11,352 patients from 67 phase 2-3 cooperative group studies conducted between 1991 and 2010. In this data set, the Lyman model had an area under the curve of 0.8772 in patients with small cell lung cancer, but an area under the curve of just 0.6787 in non–small cell lung cancer.

The derivation model was derived from about two-thirds of the patients, randomly selected. The validation set was conducted using the remaining third. The variables included were readily clinically available: age, gender, weight, body mass index, insurance status, disease stage, number of metastatic sites, chemotherapy agents used, number of chemotherapy agents, planned growth factor use, duration of planned therapy, pleural effusion, presence of symptoms, and performance status. Their model had an area under the curve of 0.8348 in the training set and 0.8234 in the testing set.
 

How these results influence practice

The risk of an initial episode of FN is highest during a patient’s initial cycle of chemotherapy, when most patients are receiving full-dose treatment, often without prophylactic measures. Guidelines from the National Comprehensive Cancer Network suggest the use of prophylactic growth factors in patients with more than a 20% risk of FN, and considering using prophylaxis in patients with 10%-20% risk of FN. Underestimating those risks and failure to take adequate precautions may be particularly important for patients with lung cancer who are generally older adults, with comorbid conditions.

The comprehensive risk model for neutropenic complications that was developed by Dr. Lyman and colleagues was based on a large, prospective cohort including nearly 3,800 patients. The model had a 90% sensitivity and 96% predictive value, but was not lung cancer specific and, in this latest study, did not perform as well in the 85% of lung cancer patients with non–small cell lung cancer. The Lyman data, however, was obtained in cancer patients treated with investigator-choice chemotherapy in community practices. It remains the National Comprehensive Cancer Network standard for evaluating FN risk in patients embarking on chemotherapy for advanced malignancies. That should remain the case, pending the additional validation testing of the new lung cancer–specific model at independent institutions, treating heterogeneous patients in real-world settings.
 

Locoregional recurrence

A retrospective cohort analysis of SWOG 8814, a phase 3 study of tamoxifen alone versus chemotherapy plus by tamoxifen in postmenopausal, node-positive, hormone receptor–positive breast cancer patients suggests that the 21-gene assay recurrence score (RS) can aid decisions about radiotherapy (RT).

Wendy A. Woodward, MD, PhD, and colleagues, analyzed patients who underwent mastectomy or breast-conserving surgery as their local therapy (JAMA Oncol. 2020 Jan 9. doi: 10.1001/jamaoncol.2019.5559). They found that patients with an intermediate or high RS – according to the 21-gene assay OncotypeDX – had more locoregional recurrences (LRR; breast, chest wall, axilla, internal mammary, supraclavicular or infraclavicular nodes).

There were 367 patients in SWOG 8814 who received tamoxifen alone or cyclophosphamide, doxorubicin, and fluorouracil followed by tamoxifen. LRR was observed in 5.8% of patients with a low RS (less than 18) and in 13.8% of patients with an intermediate or high RS (more than 18). The estimated 10-year cumulative LRR incidence rates were 9.7% and 16.5%, respectively (P = .02).

In the subset of patients with one to three positive nodes who had mastectomy without radiotherapy, the LRR was 1.5% for those with low RS and 11.1% for those with intermediate or high RS (P = .051). No difference by RS was found in the 10-year rates of LRR among patients with four or more involved nodes who received a mastectomy without RT (25.9% vs. 27.0%; P = .27).

In multivariate analysis, incorporating RS, type of surgery, and number of involved nodes, intermediate or high RS was a significant predictor of LRR, with a hazard ratio of 2.36 (P = .04). The investigators suggested that RS, when available, should be one of the factors considered in selecting patients for postmastectomy RT.
 

How these results influence practice

Selecting the node-positive, hormone receptor–positive, breast cancer patients who should receive postmastectomy RT is difficult and controversial. This is particularly true for those postmenopausal patients with fewer than four involved nodes, no lymphatic or vascular invasion, and no extracapsular spread of disease into the axillary fat. Limited information exists on the ability of genomic assays to identify LRR risk.

Eleftherios P. Mamounas, MD, and colleagues examined the results of NSABP B-28, a trial of chemotherapy plus tamoxifen (J Natl Cancer Inst. 2017;109[4]. doi:10.1093/jnci/djw259). Postmastectomy RT was not permitted. They found high RS correlated with greater LRR and low RS with decreased LRR among patients with one to three positive nodes. At first blush, the prospectively treated cohort of SWOG 8814 represents a uniformly treated cohort with long-term follow-up (median, 8.5 years) and extends in an independent analysis the findings of NSABP B-28.

However, as Dr. Woodward and colleagues point out, the current study has limitations. The use of RT was extracted retrospectively and may be underreported. More modern chemotherapy and RT may lower LRR from the risks observed in SWOG 8814. Finally, the modest numbers of LRR events precluded secondary analysis of RS as a continuous variable. This is important because the risk group cutoffs suggested by the authors are not aligned with those in the recently published TailorRx study or the ongoing RxPonder trial.

The TailorRT (Regional Radiotherapy in Biomarker Low Risk Node Positive Breast Cancer) study examines the safety of omitting RT among patients with low RS and one to three positive nodes. Until the TailorRT results are reported, the controversy regarding the role of postmastectomy RT in this group will continue for patients with low nodal tumor burden and less aggressive tumor features, including low RS.

An observed LRR risk of 11.1% in SWOG 8814 among patients with N1 disease and an RS above 18 suggest that genomic risk could be one of the factors that may justify postmastectomy RT in postmenopausal patients with node-positive, hormone receptor–positive breast cancer until additional data emerge from the contemporary trials.

Dr. Lyss has been a community-based medical oncologist and clinical researcher for more than 35 years, practicing in St. Louis. His clinical and research interests are in the prevention, diagnosis, and treatment of breast and lung cancers and in expanding access to clinical trials to medically underserved populations.

A massive collaborative project spanning four continents and 744 research centers has revealed driver mutations in both protein-coding and noncoding regions of 38 cancer types.

Pan-Cancer Analysis of Whole Genomes

The Pan-Cancer Analysis of Whole Genomes (PCAWG) is an integrative analysis of the whole-genome sequences from 2,658 donors across 38 common tumor types. The findings are expected to add exponentially to what’s currently known about the complex genetics of cancer, and they point to possible strategies for improving cancer prevention, diagnosis, and care.

Six articles summarizing the findings are presented in a series of papers in Nature, and 16 more appear in affiliated publications.

“It’s humbling that it was only 14 years ago that the genomics community sequenced its very first cancer exome, and it was able to identify mutations within the roughly 20,000 protein-coding genes in the human cell,” investigator Lincoln Stein, MD, PhD, of the Ontario Institute for Cancer Research in Toronto, said in a telephone briefing.

Exome sequencing, however, covers only protein-coding genomic regions, which constitute only about 1% of the entire genome, “so assembling an accurate portrait of the cancer genome using just the exome data is like trying to put together a 100,000-piece jigsaw puzzle when you’re missing 99% of the pieces and there’s no puzzle box with a completed picture to guide you,” Dr. Stein said.

Members of the PCAWG from centers in North America, Europe, Asia, and Australia screened 2,658 whole-cancer genomes and matched samples of noncancerous tissues from the same individuals, along with 1,188 transcriptomes cataloging the sequences and expression of RNA transcripts in a given tumor. The 6-year project netted more than 800 terabytes of genomic data, roughly equivalent to the digital holdings of the U.S. Library of Congress multiplied by 11.

The findings are summarized in papers focusing on cancer drivers, noncoding changes, mutational signatures, structural variants, cancer evolution over time, and RNA alterations.
 

Driver mutations

Investigators found that the average cancer genome contains four or five driver mutations located in both coding and noncoding regions. They also found, however, that in approximately 5% of cases no driver mutations could be identified.

A substantial proportion of tumors displayed “hallmarks of genomic catastrophes.” About 22% of tumors exhibited chromothripsis, a mutational process marked by hundreds or even thousands of clustered chromosomal rearrangements. About 18% showed chromoplexy, which is characterized by scattering and rearrangement of multiple strands of DNA from one or more chromosomes.

Analyzing driver point mutations and structural variants in noncoding regions, the investigators found the usual suspects – previously reported culprits – as well as novel candidates.

For example, they identified point mutations in the five prime region of the tumor suppressor gene TP53 and the three prime untranslated regions of NFKBIZ (a nuclear factor kappa B inhibitor) and TOB1 (an antiproliferative protein), focal deletion in BRD4 (a transcriptional and epigenetic regulator), and rearrangements in chromosomal loci in members of the AKR1C family of enzymes thought to play a role in disease progression.

In addition, investigators identified mutations in noncoding regions of TERT, a telomerase gene. These mutations result in ramped-up expression of telomerase, which in turn promotes uncontrollable division of tumor cells.
 

Mutational signatures

In a related line of research, PCAWG investigators identified new DNA mutational signatures ranging from single nucleotide polymorphisms to insertions and deletions, as well as to structural variants – rearrangements of large sections of the genome.

“The substantial size of our dataset, compared with previous analyses, enabled the discovery of new signatures, the separation of overlapping signatures, and the decomposition of signatures into components that may represent associated – but distinct – DNA damage, repair, and/or replication mechanisms. By estimating the contribution of each signature to the mutational catalogs of individual cancer genomes, we revealed associations of signatures to exogenous or endogenous exposures, as well as to defective DNA maintenance processes,” the investigators wrote.

They also acknowledged, however, that “many signatures are of unknown cause.”
 

Cancer evolution

One of the six main studies focused on the evolution of cancer over time. Instead of providing a “snapshot” of the genome as captured by sequencing tissue from a single biopsy, consortium investigators created full-length features of the “life history and evolution of mutational processes and driver mutation sequences.”

They found that early cancer development was marked by relatively few mutations in driver genes and by identifiable copy-number gains, including trisomy 7 in glioblastoma, and an abnormal mirroring of the arms (isochromosome) of chromosome 17 in medulloblastoma.

In 40% of the samples, however, there were significant changes in the mutational spectrum as the cancers grew, leading to a near quadrupling of driver genes and increased genomic instability in later-stage tumors.

“Copy-number alterations often occur in mitotic crises and lead to simultaneous gains of chromosomal segments,” the investigators wrote. “Timing analyses suggest that driver mutations often precede diagnosis by many years, if not decades. Together, these results determine the evolutionary trajectories of cancer and highlight opportunities for early cancer detection.”
 

Implications for cancer care

“When I used to treat patients with cancer, I was always completely amazed and puzzled by how two patients could have what looked like the same tumor. It would look the same under the microscope, have the same size, and the two patients would receive exactly the same treatment, but the two patients would have completely opposite outcomes; one would survive, and one would die. What this analysis … has done is really laid bare the reasons for that unpredictability in clinical outcomes,” Peter Campbell, MD, PhD, of the Wellcome Sanger Institute in Hinxton, England, said during the telebriefing.

“The most striking finding out of all of the suite of papers is just how different one person’s cancer genome is from another person’s. We see thousands of different combinations of mutations that can cause the cancer, and more than 80 different underlying processes generating the mutations in a cancer, and that leads to very different shapes and patterns in the genome that result,” he added.

On a positive note, the research shows that one or more driver mutations can be identified in about 95% of all cancer patients, and it elucidates the sequence of events leading to oncogenesis and tumor evolution, providing opportunities for earlier identification and potential interventions to prevent cancer, Dr. Campbell said.

The PCAWG was a collaborative multinational effort with multiple funding sources and many investigators.

SOURCE: Nature. 2020 Feb 5. https://www.nature.com/collections/pcawg/

A massive collaborative project spanning four continents and 744 research centers has revealed driver mutations in both protein-coding and noncoding regions of 38 cancer types.

Pan-Cancer Analysis of Whole Genomes

The Pan-Cancer Analysis of Whole Genomes (PCAWG) is an integrative analysis of the whole-genome sequences from 2,658 donors across 38 common tumor types. The findings are expected to add exponentially to what’s currently known about the complex genetics of cancer, and they point to possible strategies for improving cancer prevention, diagnosis, and care.

Six articles summarizing the findings are presented in a series of papers in Nature, and 16 more appear in affiliated publications.

“It’s humbling that it was only 14 years ago that the genomics community sequenced its very first cancer exome, and it was able to identify mutations within the roughly 20,000 protein-coding genes in the human cell,” investigator Lincoln Stein, MD, PhD, of the Ontario Institute for Cancer Research in Toronto, said in a telephone briefing.

Exome sequencing, however, covers only protein-coding genomic regions, which constitute only about 1% of the entire genome, “so assembling an accurate portrait of the cancer genome using just the exome data is like trying to put together a 100,000-piece jigsaw puzzle when you’re missing 99% of the pieces and there’s no puzzle box with a completed picture to guide you,” Dr. Stein said.

Members of the PCAWG from centers in North America, Europe, Asia, and Australia screened 2,658 whole-cancer genomes and matched samples of noncancerous tissues from the same individuals, along with 1,188 transcriptomes cataloging the sequences and expression of RNA transcripts in a given tumor. The 6-year project netted more than 800 terabytes of genomic data, roughly equivalent to the digital holdings of the U.S. Library of Congress multiplied by 11.

The findings are summarized in papers focusing on cancer drivers, noncoding changes, mutational signatures, structural variants, cancer evolution over time, and RNA alterations.
 

Driver mutations

Investigators found that the average cancer genome contains four or five driver mutations located in both coding and noncoding regions. They also found, however, that in approximately 5% of cases no driver mutations could be identified.

A substantial proportion of tumors displayed “hallmarks of genomic catastrophes.” About 22% of tumors exhibited chromothripsis, a mutational process marked by hundreds or even thousands of clustered chromosomal rearrangements. About 18% showed chromoplexy, which is characterized by scattering and rearrangement of multiple strands of DNA from one or more chromosomes.

Analyzing driver point mutations and structural variants in noncoding regions, the investigators found the usual suspects – previously reported culprits – as well as novel candidates.

For example, they identified point mutations in the five prime region of the tumor suppressor gene TP53 and the three prime untranslated regions of NFKBIZ (a nuclear factor kappa B inhibitor) and TOB1 (an antiproliferative protein), focal deletion in BRD4 (a transcriptional and epigenetic regulator), and rearrangements in chromosomal loci in members of the AKR1C family of enzymes thought to play a role in disease progression.

In addition, investigators identified mutations in noncoding regions of TERT, a telomerase gene. These mutations result in ramped-up expression of telomerase, which in turn promotes uncontrollable division of tumor cells.
 

Mutational signatures

In a related line of research, PCAWG investigators identified new DNA mutational signatures ranging from single nucleotide polymorphisms to insertions and deletions, as well as to structural variants – rearrangements of large sections of the genome.

“The substantial size of our dataset, compared with previous analyses, enabled the discovery of new signatures, the separation of overlapping signatures, and the decomposition of signatures into components that may represent associated – but distinct – DNA damage, repair, and/or replication mechanisms. By estimating the contribution of each signature to the mutational catalogs of individual cancer genomes, we revealed associations of signatures to exogenous or endogenous exposures, as well as to defective DNA maintenance processes,” the investigators wrote.

They also acknowledged, however, that “many signatures are of unknown cause.”
 

Cancer evolution

One of the six main studies focused on the evolution of cancer over time. Instead of providing a “snapshot” of the genome as captured by sequencing tissue from a single biopsy, consortium investigators created full-length features of the “life history and evolution of mutational processes and driver mutation sequences.”

They found that early cancer development was marked by relatively few mutations in driver genes and by identifiable copy-number gains, including trisomy 7 in glioblastoma, and an abnormal mirroring of the arms (isochromosome) of chromosome 17 in medulloblastoma.

In 40% of the samples, however, there were significant changes in the mutational spectrum as the cancers grew, leading to a near quadrupling of driver genes and increased genomic instability in later-stage tumors.

“Copy-number alterations often occur in mitotic crises and lead to simultaneous gains of chromosomal segments,” the investigators wrote. “Timing analyses suggest that driver mutations often precede diagnosis by many years, if not decades. Together, these results determine the evolutionary trajectories of cancer and highlight opportunities for early cancer detection.”
 

Implications for cancer care

“When I used to treat patients with cancer, I was always completely amazed and puzzled by how two patients could have what looked like the same tumor. It would look the same under the microscope, have the same size, and the two patients would receive exactly the same treatment, but the two patients would have completely opposite outcomes; one would survive, and one would die. What this analysis … has done is really laid bare the reasons for that unpredictability in clinical outcomes,” Peter Campbell, MD, PhD, of the Wellcome Sanger Institute in Hinxton, England, said during the telebriefing.

“The most striking finding out of all of the suite of papers is just how different one person’s cancer genome is from another person’s. We see thousands of different combinations of mutations that can cause the cancer, and more than 80 different underlying processes generating the mutations in a cancer, and that leads to very different shapes and patterns in the genome that result,” he added.

On a positive note, the research shows that one or more driver mutations can be identified in about 95% of all cancer patients, and it elucidates the sequence of events leading to oncogenesis and tumor evolution, providing opportunities for earlier identification and potential interventions to prevent cancer, Dr. Campbell said.

The PCAWG was a collaborative multinational effort with multiple funding sources and many investigators.

SOURCE: Nature. 2020 Feb 5. https://www.nature.com/collections/pcawg/

A massive collaborative project spanning four continents and 744 research centers has revealed driver mutations in both protein-coding and noncoding regions of 38 cancer types.

Pan-Cancer Analysis of Whole Genomes

The Pan-Cancer Analysis of Whole Genomes (PCAWG) is an integrative analysis of the whole-genome sequences from 2,658 donors across 38 common tumor types. The findings are expected to add exponentially to what’s currently known about the complex genetics of cancer, and they point to possible strategies for improving cancer prevention, diagnosis, and care.

Six articles summarizing the findings are presented in a series of papers in Nature, and 16 more appear in affiliated publications.

“It’s humbling that it was only 14 years ago that the genomics community sequenced its very first cancer exome, and it was able to identify mutations within the roughly 20,000 protein-coding genes in the human cell,” investigator Lincoln Stein, MD, PhD, of the Ontario Institute for Cancer Research in Toronto, said in a telephone briefing.

Exome sequencing, however, covers only protein-coding genomic regions, which constitute only about 1% of the entire genome, “so assembling an accurate portrait of the cancer genome using just the exome data is like trying to put together a 100,000-piece jigsaw puzzle when you’re missing 99% of the pieces and there’s no puzzle box with a completed picture to guide you,” Dr. Stein said.

Members of the PCAWG from centers in North America, Europe, Asia, and Australia screened 2,658 whole-cancer genomes and matched samples of noncancerous tissues from the same individuals, along with 1,188 transcriptomes cataloging the sequences and expression of RNA transcripts in a given tumor. The 6-year project netted more than 800 terabytes of genomic data, roughly equivalent to the digital holdings of the U.S. Library of Congress multiplied by 11.

The findings are summarized in papers focusing on cancer drivers, noncoding changes, mutational signatures, structural variants, cancer evolution over time, and RNA alterations.
 

Driver mutations

Investigators found that the average cancer genome contains four or five driver mutations located in both coding and noncoding regions. They also found, however, that in approximately 5% of cases no driver mutations could be identified.

A substantial proportion of tumors displayed “hallmarks of genomic catastrophes.” About 22% of tumors exhibited chromothripsis, a mutational process marked by hundreds or even thousands of clustered chromosomal rearrangements. About 18% showed chromoplexy, which is characterized by scattering and rearrangement of multiple strands of DNA from one or more chromosomes.

Analyzing driver point mutations and structural variants in noncoding regions, the investigators found the usual suspects – previously reported culprits – as well as novel candidates.

For example, they identified point mutations in the five prime region of the tumor suppressor gene TP53 and the three prime untranslated regions of NFKBIZ (a nuclear factor kappa B inhibitor) and TOB1 (an antiproliferative protein), focal deletion in BRD4 (a transcriptional and epigenetic regulator), and rearrangements in chromosomal loci in members of the AKR1C family of enzymes thought to play a role in disease progression.

In addition, investigators identified mutations in noncoding regions of TERT, a telomerase gene. These mutations result in ramped-up expression of telomerase, which in turn promotes uncontrollable division of tumor cells.
 

Mutational signatures

In a related line of research, PCAWG investigators identified new DNA mutational signatures ranging from single nucleotide polymorphisms to insertions and deletions, as well as to structural variants – rearrangements of large sections of the genome.

“The substantial size of our dataset, compared with previous analyses, enabled the discovery of new signatures, the separation of overlapping signatures, and the decomposition of signatures into components that may represent associated – but distinct – DNA damage, repair, and/or replication mechanisms. By estimating the contribution of each signature to the mutational catalogs of individual cancer genomes, we revealed associations of signatures to exogenous or endogenous exposures, as well as to defective DNA maintenance processes,” the investigators wrote.

They also acknowledged, however, that “many signatures are of unknown cause.”
 

Cancer evolution

One of the six main studies focused on the evolution of cancer over time. Instead of providing a “snapshot” of the genome as captured by sequencing tissue from a single biopsy, consortium investigators created full-length features of the “life history and evolution of mutational processes and driver mutation sequences.”

They found that early cancer development was marked by relatively few mutations in driver genes and by identifiable copy-number gains, including trisomy 7 in glioblastoma, and an abnormal mirroring of the arms (isochromosome) of chromosome 17 in medulloblastoma.

In 40% of the samples, however, there were significant changes in the mutational spectrum as the cancers grew, leading to a near quadrupling of driver genes and increased genomic instability in later-stage tumors.

“Copy-number alterations often occur in mitotic crises and lead to simultaneous gains of chromosomal segments,” the investigators wrote. “Timing analyses suggest that driver mutations often precede diagnosis by many years, if not decades. Together, these results determine the evolutionary trajectories of cancer and highlight opportunities for early cancer detection.”
 

Implications for cancer care

“When I used to treat patients with cancer, I was always completely amazed and puzzled by how two patients could have what looked like the same tumor. It would look the same under the microscope, have the same size, and the two patients would receive exactly the same treatment, but the two patients would have completely opposite outcomes; one would survive, and one would die. What this analysis … has done is really laid bare the reasons for that unpredictability in clinical outcomes,” Peter Campbell, MD, PhD, of the Wellcome Sanger Institute in Hinxton, England, said during the telebriefing.

“The most striking finding out of all of the suite of papers is just how different one person’s cancer genome is from another person’s. We see thousands of different combinations of mutations that can cause the cancer, and more than 80 different underlying processes generating the mutations in a cancer, and that leads to very different shapes and patterns in the genome that result,” he added.

On a positive note, the research shows that one or more driver mutations can be identified in about 95% of all cancer patients, and it elucidates the sequence of events leading to oncogenesis and tumor evolution, providing opportunities for earlier identification and potential interventions to prevent cancer, Dr. Campbell said.

The PCAWG was a collaborative multinational effort with multiple funding sources and many investigators.

SOURCE: Nature. 2020 Feb 5. https://www.nature.com/collections/pcawg/

Endobronchial ultrasound with transbronchial needle aspiration (EBUS-TBNA) had the highest diagnostic yield of lung lesions, compared with other bronchoscopic approaches, according to a multisite study of current and former smokers with suspected lung cancer.

Bronchoscopy has long played a role in the identification of lung lesions, but the yield varies according to many factors associated with the lesion and the type of bronchoscopy, and recent studies suggest that the yield may be lower than previously thought, wrote Gerard A. Silvestri, MD, of Medical University of South Carolina, Charleston, and colleagues.

In a study published in Chest, the researchers sought to assess the yield of bronchoscopy based on procedure and characteristics, as well as the physician-calculated pretest probability of cancer.

They conducted a secondary analysis of 687 patients from the AEGIS trial, a prospective 28-site study of current and former smokers who underwent bronchoscopy for suspected lung cancer. Patients under 21, those without a history of smoking, and those with a concurrent cancer or history of lung cancer were excluded. The average age of the participants was 63 years, and two-thirds were male. Of these, 474 had diagnostic bronchoscopies and 213 had nondiagnostic bronchoscopies.

The overall diagnostic yield was 69%. However, the diagnostic yield significantly higher (80%) with the use of EBUS-TBNA, compared with 55% for standard bronchoscopy with biopsy +/– fluoroscopy, 57% for electromagnetic navigation, and 74% for combination procedures.

Patients with diagnostic bronchoscopies were significantly more likely than were those who had nondiagnostic bronchoscopies to have lesions greater than 3 cm (67% vs. 45%), to have central locations (75% vs. 50%), and to have lymphadenopathy (57% vs. 55%).

In addition, yields were significantly higher (77%) for patients whose preprocedure physician-assessed probability of cancer was at least 60%, compared with yields in those whose preprocedure physician-assessed probability of cancer was less than 10% or 10%-60% (44% and 42%, respectively).

The study findings were limited by several factors including the high prevalence of cancer in the study population, a 1-year follow-up that may have missed slow-growing cancers, and lack of data on the presence or absence of a bronchus sign, the researchers noted. However, the results were strengthened by the large size, mixture of sites, and use of multiple technologies and presentations, they said.

The study is the largest to assess diagnostic yields and various bronchoscopy techniques and supports EBUS-TBNA as the most reliable, but patient selection and improved procedural training can help improve diagnostic yields, the researchers emphasized.

“While the overall yield of bronchoscopy is reasonable, EBUS-TBNA is the only technique that reliably provides a diagnosis in those suspected of having lung cancer, likely because the biopsy is targeting a central lymph node and there is direct visualization of the needle passing into the target,” they said. However,“better bronchoscopic technology is needed and there are devices in the development pipeline that promise improved diagnostic yield, though these products will require evaluation through prospective comparative effectiveness trials prior to widespread adoption,” they noted. Clinicians should be prepared to pursue alternatives to bronchoscopy if a diagnosis is unlikely, they concluded.

Dr. Silvestri disclosed research grant awards to his university from Olympus America, Auris robotics, Veracyte, and Veran Medical, as well as consulting fees from Olympus and Auris robotics.

SOURCE: Silvestri GA et al. CHEST. 2020 Jan 21. doi: 10.1016/j.chest.2019.12.024.

Endobronchial ultrasound with transbronchial needle aspiration (EBUS-TBNA) had the highest diagnostic yield of lung lesions, compared with other bronchoscopic approaches, according to a multisite study of current and former smokers with suspected lung cancer.

Bronchoscopy has long played a role in the identification of lung lesions, but the yield varies according to many factors associated with the lesion and the type of bronchoscopy, and recent studies suggest that the yield may be lower than previously thought, wrote Gerard A. Silvestri, MD, of Medical University of South Carolina, Charleston, and colleagues.

In a study published in Chest, the researchers sought to assess the yield of bronchoscopy based on procedure and characteristics, as well as the physician-calculated pretest probability of cancer.

They conducted a secondary analysis of 687 patients from the AEGIS trial, a prospective 28-site study of current and former smokers who underwent bronchoscopy for suspected lung cancer. Patients under 21, those without a history of smoking, and those with a concurrent cancer or history of lung cancer were excluded. The average age of the participants was 63 years, and two-thirds were male. Of these, 474 had diagnostic bronchoscopies and 213 had nondiagnostic bronchoscopies.

The overall diagnostic yield was 69%. However, the diagnostic yield significantly higher (80%) with the use of EBUS-TBNA, compared with 55% for standard bronchoscopy with biopsy +/– fluoroscopy, 57% for electromagnetic navigation, and 74% for combination procedures.

Patients with diagnostic bronchoscopies were significantly more likely than were those who had nondiagnostic bronchoscopies to have lesions greater than 3 cm (67% vs. 45%), to have central locations (75% vs. 50%), and to have lymphadenopathy (57% vs. 55%).

In addition, yields were significantly higher (77%) for patients whose preprocedure physician-assessed probability of cancer was at least 60%, compared with yields in those whose preprocedure physician-assessed probability of cancer was less than 10% or 10%-60% (44% and 42%, respectively).

The study findings were limited by several factors including the high prevalence of cancer in the study population, a 1-year follow-up that may have missed slow-growing cancers, and lack of data on the presence or absence of a bronchus sign, the researchers noted. However, the results were strengthened by the large size, mixture of sites, and use of multiple technologies and presentations, they said.

The study is the largest to assess diagnostic yields and various bronchoscopy techniques and supports EBUS-TBNA as the most reliable, but patient selection and improved procedural training can help improve diagnostic yields, the researchers emphasized.

“While the overall yield of bronchoscopy is reasonable, EBUS-TBNA is the only technique that reliably provides a diagnosis in those suspected of having lung cancer, likely because the biopsy is targeting a central lymph node and there is direct visualization of the needle passing into the target,” they said. However,“better bronchoscopic technology is needed and there are devices in the development pipeline that promise improved diagnostic yield, though these products will require evaluation through prospective comparative effectiveness trials prior to widespread adoption,” they noted. Clinicians should be prepared to pursue alternatives to bronchoscopy if a diagnosis is unlikely, they concluded.

Dr. Silvestri disclosed research grant awards to his university from Olympus America, Auris robotics, Veracyte, and Veran Medical, as well as consulting fees from Olympus and Auris robotics.

SOURCE: Silvestri GA et al. CHEST. 2020 Jan 21. doi: 10.1016/j.chest.2019.12.024.

Endobronchial ultrasound with transbronchial needle aspiration (EBUS-TBNA) had the highest diagnostic yield of lung lesions, compared with other bronchoscopic approaches, according to a multisite study of current and former smokers with suspected lung cancer.

Bronchoscopy has long played a role in the identification of lung lesions, but the yield varies according to many factors associated with the lesion and the type of bronchoscopy, and recent studies suggest that the yield may be lower than previously thought, wrote Gerard A. Silvestri, MD, of Medical University of South Carolina, Charleston, and colleagues.

In a study published in Chest, the researchers sought to assess the yield of bronchoscopy based on procedure and characteristics, as well as the physician-calculated pretest probability of cancer.

They conducted a secondary analysis of 687 patients from the AEGIS trial, a prospective 28-site study of current and former smokers who underwent bronchoscopy for suspected lung cancer. Patients under 21, those without a history of smoking, and those with a concurrent cancer or history of lung cancer were excluded. The average age of the participants was 63 years, and two-thirds were male. Of these, 474 had diagnostic bronchoscopies and 213 had nondiagnostic bronchoscopies.

The overall diagnostic yield was 69%. However, the diagnostic yield significantly higher (80%) with the use of EBUS-TBNA, compared with 55% for standard bronchoscopy with biopsy +/– fluoroscopy, 57% for electromagnetic navigation, and 74% for combination procedures.

Patients with diagnostic bronchoscopies were significantly more likely than were those who had nondiagnostic bronchoscopies to have lesions greater than 3 cm (67% vs. 45%), to have central locations (75% vs. 50%), and to have lymphadenopathy (57% vs. 55%).

In addition, yields were significantly higher (77%) for patients whose preprocedure physician-assessed probability of cancer was at least 60%, compared with yields in those whose preprocedure physician-assessed probability of cancer was less than 10% or 10%-60% (44% and 42%, respectively).

The study findings were limited by several factors including the high prevalence of cancer in the study population, a 1-year follow-up that may have missed slow-growing cancers, and lack of data on the presence or absence of a bronchus sign, the researchers noted. However, the results were strengthened by the large size, mixture of sites, and use of multiple technologies and presentations, they said.

The study is the largest to assess diagnostic yields and various bronchoscopy techniques and supports EBUS-TBNA as the most reliable, but patient selection and improved procedural training can help improve diagnostic yields, the researchers emphasized.

“While the overall yield of bronchoscopy is reasonable, EBUS-TBNA is the only technique that reliably provides a diagnosis in those suspected of having lung cancer, likely because the biopsy is targeting a central lymph node and there is direct visualization of the needle passing into the target,” they said. However,“better bronchoscopic technology is needed and there are devices in the development pipeline that promise improved diagnostic yield, though these products will require evaluation through prospective comparative effectiveness trials prior to widespread adoption,” they noted. Clinicians should be prepared to pursue alternatives to bronchoscopy if a diagnosis is unlikely, they concluded.

Dr. Silvestri disclosed research grant awards to his university from Olympus America, Auris robotics, Veracyte, and Veran Medical, as well as consulting fees from Olympus and Auris robotics.

SOURCE: Silvestri GA et al. CHEST. 2020 Jan 21. doi: 10.1016/j.chest.2019.12.024.

For lung cancer patients with moderately decreased lung function, the 6-minute walk test may be a useful tool to help predict postoperative cardiopulmonary complications, researchers have found.

Risk of cardiopulmonary complications increased nearly eightfold in patients with moderate lung function decreases who failed to walk 400 m or more, according to the study, which included data on 416 patients with non–small cell lung cancer (NSCLC) who underwent lobectomy.

This is believed to be the first large study evaluating the utility of the 6-minute walk test (6MWT) to predict postoperative cardiopulmonary complications in this surgical setting, according to researchers led by Hyun Lee, MD, of Hanyang University in Seoul, South Korea. 

“Our findings suggest that 6-minute walk distance would provide additional information in lung cancer patients with moderately decreased lung function who plan to undergo surgical resection,” said Dr. Lee and coauthors of the study report, which appears in CHEST.

More specifically, the option of curative resection should be considered in those lung cancer patients with moderately decreased lung function but a longer 6-minute walk distance, they added.

Exercise testing is currently recommended to further stratify risk of postoperative complications among patient with moderately decreased lung function, according to the researchers. The 6-minute walk test might be a good tool to evaluate feasibility for moderate risk patients, according to one recent review. However, studies so far have been limited by small numbers of patients, and larger studies have not specifically looked at predicted postoperative lung function status, they said.

Accordingly, the researchers evaluated data from patients expected to undergo curative lung cancer surgery who were enrolled in a prospective cohort study in Korea. They were classified as low or moderate risk based on pulmonary function tests, and further classified into short distance (less than 400 m) and long distance (400 m or more) groups based on their performance on the 6-minute walk test. 

Postoperative cardiopulmonary complications were seen in 42.9% of the moderate-risk, short-distance group, versus 14.4% of patients in the moderate-risk, long-distance group. In the low-risk patients, those complications were seen in 9.5% and 8.3% of those in the long and short distance groups.

Odds for postoperative cardiopulmonary complications were significantly increased in the moderate-risk, short-distance group, compared with the low-risk, long-distance group (adjusted odds ratio, 7.84; 95% confidence interval, 2.24-27.46).

By contrast, odds for complications were not significantly increased in the moderate-risk, long-distance group, nor in the low-risk, short-distance groups, investigators said.

Dr. Lee and coauthors said they had no conflicts of interest to disclose.

SOURCE: Lee H et al. CHEST. 2020. doi: 10.1016/j.chest.2019.12.039.

For lung cancer patients with moderately decreased lung function, the 6-minute walk test may be a useful tool to help predict postoperative cardiopulmonary complications, researchers have found.

Risk of cardiopulmonary complications increased nearly eightfold in patients with moderate lung function decreases who failed to walk 400 m or more, according to the study, which included data on 416 patients with non–small cell lung cancer (NSCLC) who underwent lobectomy.

This is believed to be the first large study evaluating the utility of the 6-minute walk test (6MWT) to predict postoperative cardiopulmonary complications in this surgical setting, according to researchers led by Hyun Lee, MD, of Hanyang University in Seoul, South Korea. 

“Our findings suggest that 6-minute walk distance would provide additional information in lung cancer patients with moderately decreased lung function who plan to undergo surgical resection,” said Dr. Lee and coauthors of the study report, which appears in CHEST.

More specifically, the option of curative resection should be considered in those lung cancer patients with moderately decreased lung function but a longer 6-minute walk distance, they added.

Exercise testing is currently recommended to further stratify risk of postoperative complications among patient with moderately decreased lung function, according to the researchers. The 6-minute walk test might be a good tool to evaluate feasibility for moderate risk patients, according to one recent review. However, studies so far have been limited by small numbers of patients, and larger studies have not specifically looked at predicted postoperative lung function status, they said.

Accordingly, the researchers evaluated data from patients expected to undergo curative lung cancer surgery who were enrolled in a prospective cohort study in Korea. They were classified as low or moderate risk based on pulmonary function tests, and further classified into short distance (less than 400 m) and long distance (400 m or more) groups based on their performance on the 6-minute walk test. 

Postoperative cardiopulmonary complications were seen in 42.9% of the moderate-risk, short-distance group, versus 14.4% of patients in the moderate-risk, long-distance group. In the low-risk patients, those complications were seen in 9.5% and 8.3% of those in the long and short distance groups.

Odds for postoperative cardiopulmonary complications were significantly increased in the moderate-risk, short-distance group, compared with the low-risk, long-distance group (adjusted odds ratio, 7.84; 95% confidence interval, 2.24-27.46).

By contrast, odds for complications were not significantly increased in the moderate-risk, long-distance group, nor in the low-risk, short-distance groups, investigators said.

Dr. Lee and coauthors said they had no conflicts of interest to disclose.

SOURCE: Lee H et al. CHEST. 2020. doi: 10.1016/j.chest.2019.12.039.

For lung cancer patients with moderately decreased lung function, the 6-minute walk test may be a useful tool to help predict postoperative cardiopulmonary complications, researchers have found.

Risk of cardiopulmonary complications increased nearly eightfold in patients with moderate lung function decreases who failed to walk 400 m or more, according to the study, which included data on 416 patients with non–small cell lung cancer (NSCLC) who underwent lobectomy.

This is believed to be the first large study evaluating the utility of the 6-minute walk test (6MWT) to predict postoperative cardiopulmonary complications in this surgical setting, according to researchers led by Hyun Lee, MD, of Hanyang University in Seoul, South Korea. 

“Our findings suggest that 6-minute walk distance would provide additional information in lung cancer patients with moderately decreased lung function who plan to undergo surgical resection,” said Dr. Lee and coauthors of the study report, which appears in CHEST.

More specifically, the option of curative resection should be considered in those lung cancer patients with moderately decreased lung function but a longer 6-minute walk distance, they added.

Exercise testing is currently recommended to further stratify risk of postoperative complications among patient with moderately decreased lung function, according to the researchers. The 6-minute walk test might be a good tool to evaluate feasibility for moderate risk patients, according to one recent review. However, studies so far have been limited by small numbers of patients, and larger studies have not specifically looked at predicted postoperative lung function status, they said.

Accordingly, the researchers evaluated data from patients expected to undergo curative lung cancer surgery who were enrolled in a prospective cohort study in Korea. They were classified as low or moderate risk based on pulmonary function tests, and further classified into short distance (less than 400 m) and long distance (400 m or more) groups based on their performance on the 6-minute walk test. 

Postoperative cardiopulmonary complications were seen in 42.9% of the moderate-risk, short-distance group, versus 14.4% of patients in the moderate-risk, long-distance group. In the low-risk patients, those complications were seen in 9.5% and 8.3% of those in the long and short distance groups.

Odds for postoperative cardiopulmonary complications were significantly increased in the moderate-risk, short-distance group, compared with the low-risk, long-distance group (adjusted odds ratio, 7.84; 95% confidence interval, 2.24-27.46).

By contrast, odds for complications were not significantly increased in the moderate-risk, long-distance group, nor in the low-risk, short-distance groups, investigators said.

Dr. Lee and coauthors said they had no conflicts of interest to disclose.

SOURCE: Lee H et al. CHEST. 2020. doi: 10.1016/j.chest.2019.12.039.

A combination of the tyrosine kinase inhibitor lenvatinib (Lenvima) and the immune checkpoint inhibitor pembrolizumab (Keytruda) was safe and showed promising activity against advanced renal cell carcinoma and other solid tumors in a phase 1b/2 study.

Overall response rates (ORR) at 24 weeks ranged from 63% for patients with advanced renal cell carcinomas (RCC) to 25% for patients with urothelial cancers, reported Matthew H. Taylor, MD, of Knight Cancer Institute at Oregon Health & Science University in Portland, and colleagues.

The findings from this study sparked additional clinical trials for patients with gastric cancer, gastroesophageal cancer, and differentiated thyroid cancer, and set the stage for larger phase 3 trials in patients with advanced RCC, endometrial cancer, malignant melanoma, and non–small cell lung cancer (NSCLC).

“In the future, we also plan to study lenvatinib plus pembrolizumab in patients with RCC who have had disease progression after treatment with immune checkpoint inhibitors,” they wrote. The report was published in Journal of Clinical Oncology.

Lenvatinib is a multitargeted tyrosine kinase inhibitor (TKI) with action against vascular endothelial growth factor (VEGF) receptors 1-3, fibroblast growth factor (FGF) receptors 1-4, platelet-derived growth factor receptors alpha and the RET and KIT kinases.

“Preclinical and clinical studies suggest that modulation of VEGF-mediated immune suppression via angiogenesis inhibition could potentially augment the immunotherapeutic activity of immune checkpoint inhibitors,” the investigators wrote.

They reported results from the dose finding (1b) phase including 13 patients and initial phase 2 expansion cohorts with a total of 124 patients.

The maximum tolerated dose of lenvatinib in combination with pembrolizumab was established as 20 mg/day.

At 24 weeks of follow-up, the ORR for 30 patients with RCC was 63%; two additional patients had responses after week 24, for a total ORR at study cutoff in this cohort of 70%. The median duration of response for these patients was 20 months, and the median progression-free survival (PFS) was 19.8 months. At the time of data cutoff for this analysis, 9 of the 30 patients with RCC were still on treatment.

For 23 patients with endometrial cancer, the 24-week and overall ORR were 52%, with a median duration of response not reached, and a median PFS of 9.7 months. Seven patients were still on treatment at data cutoff.

For 21 patients with melanoma, the 24-week and overall ORR were 48%, median duration of response was 12.5 months, and median PFS was 5.5 months. Two of the patients were still on treatment at data cutoff.

For the 22 patients with squamous cell cancer of the head and neck, the 24-week ORR was 36%, with two patients having a response after week 24 for a total ORR at data cutoff of 46%. The median duration of response was 8.2 months and the median PFS was 4.7 months. Three patients remained on treatment at data cutoff.

For 21 patients with NSCLC, the 24-week and overall ORR were 33%, the median duration of response was 10.9 months, and median PFS was 5.9 months. Six of the patients were still receiving treatment at data cutoff.

For 20 patients with urothelial cancer, the 24-week and overall ORR were 25%, with a median duration of response not reached, and a median PFS of 5.4 months. Three patients were still receiving the combination at the time of data cutoff.

Treatment related adverse events (TRAEs) occurred in 133 of all 137 patients enrolled in the two study phases. The adverse events were similar across all cohorts, with any grade of events including fatigue in 58%, diarrhea in 52%, hypertension in 47%, hypothyroidism in 42%, and decreased appetite in 39%.

The most frequent grade 3 or 4 TRAEs were hypertension in 20%, fatigue in 12%, diarrhea in 9%, proteinuria in 8%, and increased lipase levels in 7%.

In all, 85% of patients had a TRAE leading to lenvatinib dose reduction and/or interruption, and 13% required lenvatinib discontinuation.

Events leading to pembrolizumab dose interruption occurred in 45% of patients, and pembrolizumab discontinuation in 15%.

The study was sponsored by Eisai with collaboration from Merck Sharp & Dohme. Dr. Taylor disclosed a consulting or advisory role for Bristol-Myers Squibb, Eisai, Array BioPharma, Loxo, Bayer, ArQule, Blueprint Medicines, Novartis, and Sanofi/Genzyme, and speakers bureau activities for BMS and Eisai.

SOURCE: Taylor MH et al. J Clin Oncol. 2020 Jan. 21 doi: 10.1200/JCO.19.01598.

A combination of the tyrosine kinase inhibitor lenvatinib (Lenvima) and the immune checkpoint inhibitor pembrolizumab (Keytruda) was safe and showed promising activity against advanced renal cell carcinoma and other solid tumors in a phase 1b/2 study.

Overall response rates (ORR) at 24 weeks ranged from 63% for patients with advanced renal cell carcinomas (RCC) to 25% for patients with urothelial cancers, reported Matthew H. Taylor, MD, of Knight Cancer Institute at Oregon Health & Science University in Portland, and colleagues.

The findings from this study sparked additional clinical trials for patients with gastric cancer, gastroesophageal cancer, and differentiated thyroid cancer, and set the stage for larger phase 3 trials in patients with advanced RCC, endometrial cancer, malignant melanoma, and non–small cell lung cancer (NSCLC).

“In the future, we also plan to study lenvatinib plus pembrolizumab in patients with RCC who have had disease progression after treatment with immune checkpoint inhibitors,” they wrote. The report was published in Journal of Clinical Oncology.

Lenvatinib is a multitargeted tyrosine kinase inhibitor (TKI) with action against vascular endothelial growth factor (VEGF) receptors 1-3, fibroblast growth factor (FGF) receptors 1-4, platelet-derived growth factor receptors alpha and the RET and KIT kinases.

“Preclinical and clinical studies suggest that modulation of VEGF-mediated immune suppression via angiogenesis inhibition could potentially augment the immunotherapeutic activity of immune checkpoint inhibitors,” the investigators wrote.

They reported results from the dose finding (1b) phase including 13 patients and initial phase 2 expansion cohorts with a total of 124 patients.

The maximum tolerated dose of lenvatinib in combination with pembrolizumab was established as 20 mg/day.

At 24 weeks of follow-up, the ORR for 30 patients with RCC was 63%; two additional patients had responses after week 24, for a total ORR at study cutoff in this cohort of 70%. The median duration of response for these patients was 20 months, and the median progression-free survival (PFS) was 19.8 months. At the time of data cutoff for this analysis, 9 of the 30 patients with RCC were still on treatment.

For 23 patients with endometrial cancer, the 24-week and overall ORR were 52%, with a median duration of response not reached, and a median PFS of 9.7 months. Seven patients were still on treatment at data cutoff.

For 21 patients with melanoma, the 24-week and overall ORR were 48%, median duration of response was 12.5 months, and median PFS was 5.5 months. Two of the patients were still on treatment at data cutoff.

For the 22 patients with squamous cell cancer of the head and neck, the 24-week ORR was 36%, with two patients having a response after week 24 for a total ORR at data cutoff of 46%. The median duration of response was 8.2 months and the median PFS was 4.7 months. Three patients remained on treatment at data cutoff.

For 21 patients with NSCLC, the 24-week and overall ORR were 33%, the median duration of response was 10.9 months, and median PFS was 5.9 months. Six of the patients were still receiving treatment at data cutoff.

For 20 patients with urothelial cancer, the 24-week and overall ORR were 25%, with a median duration of response not reached, and a median PFS of 5.4 months. Three patients were still receiving the combination at the time of data cutoff.

Treatment related adverse events (TRAEs) occurred in 133 of all 137 patients enrolled in the two study phases. The adverse events were similar across all cohorts, with any grade of events including fatigue in 58%, diarrhea in 52%, hypertension in 47%, hypothyroidism in 42%, and decreased appetite in 39%.

The most frequent grade 3 or 4 TRAEs were hypertension in 20%, fatigue in 12%, diarrhea in 9%, proteinuria in 8%, and increased lipase levels in 7%.

In all, 85% of patients had a TRAE leading to lenvatinib dose reduction and/or interruption, and 13% required lenvatinib discontinuation.

Events leading to pembrolizumab dose interruption occurred in 45% of patients, and pembrolizumab discontinuation in 15%.

The study was sponsored by Eisai with collaboration from Merck Sharp & Dohme. Dr. Taylor disclosed a consulting or advisory role for Bristol-Myers Squibb, Eisai, Array BioPharma, Loxo, Bayer, ArQule, Blueprint Medicines, Novartis, and Sanofi/Genzyme, and speakers bureau activities for BMS and Eisai.

SOURCE: Taylor MH et al. J Clin Oncol. 2020 Jan. 21 doi: 10.1200/JCO.19.01598.

A combination of the tyrosine kinase inhibitor lenvatinib (Lenvima) and the immune checkpoint inhibitor pembrolizumab (Keytruda) was safe and showed promising activity against advanced renal cell carcinoma and other solid tumors in a phase 1b/2 study.

Overall response rates (ORR) at 24 weeks ranged from 63% for patients with advanced renal cell carcinomas (RCC) to 25% for patients with urothelial cancers, reported Matthew H. Taylor, MD, of Knight Cancer Institute at Oregon Health & Science University in Portland, and colleagues.

The findings from this study sparked additional clinical trials for patients with gastric cancer, gastroesophageal cancer, and differentiated thyroid cancer, and set the stage for larger phase 3 trials in patients with advanced RCC, endometrial cancer, malignant melanoma, and non–small cell lung cancer (NSCLC).

“In the future, we also plan to study lenvatinib plus pembrolizumab in patients with RCC who have had disease progression after treatment with immune checkpoint inhibitors,” they wrote. The report was published in Journal of Clinical Oncology.

Lenvatinib is a multitargeted tyrosine kinase inhibitor (TKI) with action against vascular endothelial growth factor (VEGF) receptors 1-3, fibroblast growth factor (FGF) receptors 1-4, platelet-derived growth factor receptors alpha and the RET and KIT kinases.

“Preclinical and clinical studies suggest that modulation of VEGF-mediated immune suppression via angiogenesis inhibition could potentially augment the immunotherapeutic activity of immune checkpoint inhibitors,” the investigators wrote.

They reported results from the dose finding (1b) phase including 13 patients and initial phase 2 expansion cohorts with a total of 124 patients.

The maximum tolerated dose of lenvatinib in combination with pembrolizumab was established as 20 mg/day.

At 24 weeks of follow-up, the ORR for 30 patients with RCC was 63%; two additional patients had responses after week 24, for a total ORR at study cutoff in this cohort of 70%. The median duration of response for these patients was 20 months, and the median progression-free survival (PFS) was 19.8 months. At the time of data cutoff for this analysis, 9 of the 30 patients with RCC were still on treatment.

For 23 patients with endometrial cancer, the 24-week and overall ORR were 52%, with a median duration of response not reached, and a median PFS of 9.7 months. Seven patients were still on treatment at data cutoff.

For 21 patients with melanoma, the 24-week and overall ORR were 48%, median duration of response was 12.5 months, and median PFS was 5.5 months. Two of the patients were still on treatment at data cutoff.

For the 22 patients with squamous cell cancer of the head and neck, the 24-week ORR was 36%, with two patients having a response after week 24 for a total ORR at data cutoff of 46%. The median duration of response was 8.2 months and the median PFS was 4.7 months. Three patients remained on treatment at data cutoff.

For 21 patients with NSCLC, the 24-week and overall ORR were 33%, the median duration of response was 10.9 months, and median PFS was 5.9 months. Six of the patients were still receiving treatment at data cutoff.

For 20 patients with urothelial cancer, the 24-week and overall ORR were 25%, with a median duration of response not reached, and a median PFS of 5.4 months. Three patients were still receiving the combination at the time of data cutoff.

Treatment related adverse events (TRAEs) occurred in 133 of all 137 patients enrolled in the two study phases. The adverse events were similar across all cohorts, with any grade of events including fatigue in 58%, diarrhea in 52%, hypertension in 47%, hypothyroidism in 42%, and decreased appetite in 39%.

The most frequent grade 3 or 4 TRAEs were hypertension in 20%, fatigue in 12%, diarrhea in 9%, proteinuria in 8%, and increased lipase levels in 7%.

In all, 85% of patients had a TRAE leading to lenvatinib dose reduction and/or interruption, and 13% required lenvatinib discontinuation.

Events leading to pembrolizumab dose interruption occurred in 45% of patients, and pembrolizumab discontinuation in 15%.

The study was sponsored by Eisai with collaboration from Merck Sharp & Dohme. Dr. Taylor disclosed a consulting or advisory role for Bristol-Myers Squibb, Eisai, Array BioPharma, Loxo, Bayer, ArQule, Blueprint Medicines, Novartis, and Sanofi/Genzyme, and speakers bureau activities for BMS and Eisai.

SOURCE: Taylor MH et al. J Clin Oncol. 2020 Jan. 21 doi: 10.1200/JCO.19.01598.

CT scan screening of older people with heavy smoking histories – using lesion volume, not diameter, as a trigger for further work-up – reduced lung cancer deaths by about 30% in a randomized trial from the Netherlands and Belgium with almost 16,000 current and former smokers, investigators reported in the New England Journal of Medicine.

The Dutch-Belgian lung-cancer screening trial (Nederlands-Leuvens Longkanker Screenings Onderzoek [NELSON]) is “arguably the only adequately powered trial other than the” National Lung Screening Trial (NLST) in the United States to assess the role of CT scan screening among smokers, wrote University of London cancer epidemiologist Stephen Duffy, MSc, and University of Liverpool molecular oncology professor John Field, PhD, in an accompanying editorial.

NLST, which used lesion diameter, found an approximately 20% lower lung cancer mortality than screening with chest x-rays among 53,454 heavy smokers after a median follow-up of 6.5 years. The trial ultimately led the U.S. Preventive Services Task Force to recommend annual screening for people aged 55-80 years with a history of at least 30 pack-years.

European countries have considered similar programs but have hesitated “partly due to doubts fostered by the early publication of inconclusive results of a number of smaller trials in Europe. These doubts should be laid to rest,” Mr. Duffy and Dr. Field wrote.

“With the NELSON results, the efficacy of low-dose CT screening for lung cancer is confirmed. Our job is no longer to assess whether low-dose CT screening for lung cancer works; it does. Our job is to identify the target population in which it will be acceptable and cost effective,” they added.

The 15,789 NELSON participants (84% men, with a median age of 58 years and 38 pack-year history) were randomized about 1:1 to either low-dose CT scan screening at baseline and 1, 3, and 5.5 years, or to no screening.

At 10 years follow-up, there were 5.58 lung cancer cases and 2.5 deaths per 1,000 person-years in the screened group versus 4.91 cases and 3.3 deaths per 1,000 person-years among controls. Lung-cancer mortality was 24% lower among screened subjects overall, and 33% lower among screened women. The team estimated that screening prevented about 60 lung cancer deaths.

Using volume instead of diameter “resulted in low[er] referral rates” – 2.1% with a positive predictive value of 43.5% versus 24% with a positive predictive value of 3.8% in NLST – for additional work-up, explained investigators led by H.J. de Koning, MD, PhD, of the department of public health at Erasmus University Medical Center in Rotterdam, the Netherlands.

The upper limit of overdiagnosis risk – a major concern with any screening program – was 18.5% with NLST versus 8.9% with NELSON, they wrote.

In short: “Volume CT screening enabled a significant reduction of harms (e.g., false positive tests and unnecessary work-up procedures) without jeopardizing favorable outcomes,” the investigators wrote. Indeed, an ad hoc analysis suggested “more-favorable effects on lung-cancer mortality than in the NLST, despite lower referral rates for suspicious lesions” and the fact that NLST used annual screening.

“Recently,” Mr. Duffy and Dr. Field explained in their editorial, “the NELSON investigators evaluated both diameter and volume measurement to estimate lung-nodule size as an imaging biomarker for nodule management; this provided evidence that using mean or maximum axial diameter to assess nodule volume led to a substantial overestimation of nodule volume.” Direct measurement of volume “resulted in a substantial number of early-stage cancers identified at the time of diagnosis and avoided false positives from the overestimation incurred by management based on diameter.”

“The lung-nodule management system used in the NELSON trial has been advocated in the European position statement on lung-cancer screening. This will improve the acceptability of the intervention, because the rate of further investigation has been a major concern in lung cancer screening,” they wrote.

Baseline characteristics did not differ significantly between the screened and unscreened in NELSON, except for a slightly longer duration of smoking in the screened group.

The work was funded by the Netherlands Organization of Health Research and Development, among others. Mr. Duffy and Dr. de Koning didn’t report any disclosures. Dr. Field is an advisor for AstraZeneca, Epigenomics, and Nucleix, and has a research grant to his university from Janssen.
 

SOURCE: de Honing HJ et al. N Engl J Med. 2020 Jan 29. doi: 10.1056/NEJMoa1911793.

CT scan screening of older people with heavy smoking histories – using lesion volume, not diameter, as a trigger for further work-up – reduced lung cancer deaths by about 30% in a randomized trial from the Netherlands and Belgium with almost 16,000 current and former smokers, investigators reported in the New England Journal of Medicine.

The Dutch-Belgian lung-cancer screening trial (Nederlands-Leuvens Longkanker Screenings Onderzoek [NELSON]) is “arguably the only adequately powered trial other than the” National Lung Screening Trial (NLST) in the United States to assess the role of CT scan screening among smokers, wrote University of London cancer epidemiologist Stephen Duffy, MSc, and University of Liverpool molecular oncology professor John Field, PhD, in an accompanying editorial.

NLST, which used lesion diameter, found an approximately 20% lower lung cancer mortality than screening with chest x-rays among 53,454 heavy smokers after a median follow-up of 6.5 years. The trial ultimately led the U.S. Preventive Services Task Force to recommend annual screening for people aged 55-80 years with a history of at least 30 pack-years.

European countries have considered similar programs but have hesitated “partly due to doubts fostered by the early publication of inconclusive results of a number of smaller trials in Europe. These doubts should be laid to rest,” Mr. Duffy and Dr. Field wrote.

“With the NELSON results, the efficacy of low-dose CT screening for lung cancer is confirmed. Our job is no longer to assess whether low-dose CT screening for lung cancer works; it does. Our job is to identify the target population in which it will be acceptable and cost effective,” they added.

The 15,789 NELSON participants (84% men, with a median age of 58 years and 38 pack-year history) were randomized about 1:1 to either low-dose CT scan screening at baseline and 1, 3, and 5.5 years, or to no screening.

At 10 years follow-up, there were 5.58 lung cancer cases and 2.5 deaths per 1,000 person-years in the screened group versus 4.91 cases and 3.3 deaths per 1,000 person-years among controls. Lung-cancer mortality was 24% lower among screened subjects overall, and 33% lower among screened women. The team estimated that screening prevented about 60 lung cancer deaths.

Using volume instead of diameter “resulted in low[er] referral rates” – 2.1% with a positive predictive value of 43.5% versus 24% with a positive predictive value of 3.8% in NLST – for additional work-up, explained investigators led by H.J. de Koning, MD, PhD, of the department of public health at Erasmus University Medical Center in Rotterdam, the Netherlands.

The upper limit of overdiagnosis risk – a major concern with any screening program – was 18.5% with NLST versus 8.9% with NELSON, they wrote.

In short: “Volume CT screening enabled a significant reduction of harms (e.g., false positive tests and unnecessary work-up procedures) without jeopardizing favorable outcomes,” the investigators wrote. Indeed, an ad hoc analysis suggested “more-favorable effects on lung-cancer mortality than in the NLST, despite lower referral rates for suspicious lesions” and the fact that NLST used annual screening.

“Recently,” Mr. Duffy and Dr. Field explained in their editorial, “the NELSON investigators evaluated both diameter and volume measurement to estimate lung-nodule size as an imaging biomarker for nodule management; this provided evidence that using mean or maximum axial diameter to assess nodule volume led to a substantial overestimation of nodule volume.” Direct measurement of volume “resulted in a substantial number of early-stage cancers identified at the time of diagnosis and avoided false positives from the overestimation incurred by management based on diameter.”

“The lung-nodule management system used in the NELSON trial has been advocated in the European position statement on lung-cancer screening. This will improve the acceptability of the intervention, because the rate of further investigation has been a major concern in lung cancer screening,” they wrote.

Baseline characteristics did not differ significantly between the screened and unscreened in NELSON, except for a slightly longer duration of smoking in the screened group.

The work was funded by the Netherlands Organization of Health Research and Development, among others. Mr. Duffy and Dr. de Koning didn’t report any disclosures. Dr. Field is an advisor for AstraZeneca, Epigenomics, and Nucleix, and has a research grant to his university from Janssen.
 

SOURCE: de Honing HJ et al. N Engl J Med. 2020 Jan 29. doi: 10.1056/NEJMoa1911793.

CT scan screening of older people with heavy smoking histories – using lesion volume, not diameter, as a trigger for further work-up – reduced lung cancer deaths by about 30% in a randomized trial from the Netherlands and Belgium with almost 16,000 current and former smokers, investigators reported in the New England Journal of Medicine.

The Dutch-Belgian lung-cancer screening trial (Nederlands-Leuvens Longkanker Screenings Onderzoek [NELSON]) is “arguably the only adequately powered trial other than the” National Lung Screening Trial (NLST) in the United States to assess the role of CT scan screening among smokers, wrote University of London cancer epidemiologist Stephen Duffy, MSc, and University of Liverpool molecular oncology professor John Field, PhD, in an accompanying editorial.

NLST, which used lesion diameter, found an approximately 20% lower lung cancer mortality than screening with chest x-rays among 53,454 heavy smokers after a median follow-up of 6.5 years. The trial ultimately led the U.S. Preventive Services Task Force to recommend annual screening for people aged 55-80 years with a history of at least 30 pack-years.

European countries have considered similar programs but have hesitated “partly due to doubts fostered by the early publication of inconclusive results of a number of smaller trials in Europe. These doubts should be laid to rest,” Mr. Duffy and Dr. Field wrote.

“With the NELSON results, the efficacy of low-dose CT screening for lung cancer is confirmed. Our job is no longer to assess whether low-dose CT screening for lung cancer works; it does. Our job is to identify the target population in which it will be acceptable and cost effective,” they added.

The 15,789 NELSON participants (84% men, with a median age of 58 years and 38 pack-year history) were randomized about 1:1 to either low-dose CT scan screening at baseline and 1, 3, and 5.5 years, or to no screening.

At 10 years follow-up, there were 5.58 lung cancer cases and 2.5 deaths per 1,000 person-years in the screened group versus 4.91 cases and 3.3 deaths per 1,000 person-years among controls. Lung-cancer mortality was 24% lower among screened subjects overall, and 33% lower among screened women. The team estimated that screening prevented about 60 lung cancer deaths.

Using volume instead of diameter “resulted in low[er] referral rates” – 2.1% with a positive predictive value of 43.5% versus 24% with a positive predictive value of 3.8% in NLST – for additional work-up, explained investigators led by H.J. de Koning, MD, PhD, of the department of public health at Erasmus University Medical Center in Rotterdam, the Netherlands.

The upper limit of overdiagnosis risk – a major concern with any screening program – was 18.5% with NLST versus 8.9% with NELSON, they wrote.

In short: “Volume CT screening enabled a significant reduction of harms (e.g., false positive tests and unnecessary work-up procedures) without jeopardizing favorable outcomes,” the investigators wrote. Indeed, an ad hoc analysis suggested “more-favorable effects on lung-cancer mortality than in the NLST, despite lower referral rates for suspicious lesions” and the fact that NLST used annual screening.

“Recently,” Mr. Duffy and Dr. Field explained in their editorial, “the NELSON investigators evaluated both diameter and volume measurement to estimate lung-nodule size as an imaging biomarker for nodule management; this provided evidence that using mean or maximum axial diameter to assess nodule volume led to a substantial overestimation of nodule volume.” Direct measurement of volume “resulted in a substantial number of early-stage cancers identified at the time of diagnosis and avoided false positives from the overestimation incurred by management based on diameter.”

“The lung-nodule management system used in the NELSON trial has been advocated in the European position statement on lung-cancer screening. This will improve the acceptability of the intervention, because the rate of further investigation has been a major concern in lung cancer screening,” they wrote.

Baseline characteristics did not differ significantly between the screened and unscreened in NELSON, except for a slightly longer duration of smoking in the screened group.

The work was funded by the Netherlands Organization of Health Research and Development, among others. Mr. Duffy and Dr. de Koning didn’t report any disclosures. Dr. Field is an advisor for AstraZeneca, Epigenomics, and Nucleix, and has a research grant to his university from Janssen.
 

SOURCE: de Honing HJ et al. N Engl J Med. 2020 Jan 29. doi: 10.1056/NEJMoa1911793.

Cigarette smokers who also use cannabis appear to face higher hurdles to quit smoking, a large national survey has found.

Scott Harms/iStockphoto

“Over the past decade, there has been an increase in the use of cannabis among cigarette smokers and prevalence of cigarettes and cannabis co-use, suggesting that the negative consequences of cigarette–cannabis co-use may also become more prevalent over time,” wrote Andrea H. Weinberger, PhD, of Yeshiva University, New York, and colleagues. They noted that the prevalence of cigarette smoking is nearly three times higher among persons who use cannabis and have cannabis use disorders relative to those who do not.

The 2019 National Survey of Drug Use and Health estimated that 15.9% of Americans aged 12 years or older used cannabis in the past year. This number has been rising throughout the 2000s.

In that same report, cannabis use disorder (or marijuana use disorder) was defined as when an individual experiences clinically significant impairment caused by the recurrent use of marijuana, including health problems, persistent or increasing use, and failure to meet major responsibilities at work, school, or home. The report stated that approximately 1.6% of Americans aged 12 or older in 2018 had marijuana use disorder.

In the study published in Tobacco Control, the researchers used the National Survey on Drug Use and Health data to analyze cigarette smoking quit ratios among U.S. adults with and without cannabis use and cannabis use disorders. “Quit ratio was calculated as the proportion of former smokers among lifetime smokers and is considered a measure of total cessation in a population,” the researchers said.

In 2016, the quit ratios for adults with a history of cannabis use or cannabis use disorders were 23% and 15%, respectively, compared with 51% and 48%, respectively, in those with no cannabis use or cannabis use disorders.

Overall, quit ratios did not change significantly from 2002 to 2016 for individuals with cannabis use disorders after controlling for multiple demographic factors and other substance use disorders. However, during the same time period, quit ratios showed a nonlinear increase in cannabis users, nonusers, and individuals without cannabis use disorders.

The study findings were limited by several factors including the inability to generalize results to youth or individuals living outside the United States, the use of DSM-IV criteria to identify cannabis use disorder, the use of self-reports, and the inability to examine the timing of cannabis use as related to attempts to quit smoking, the researchers noted. However, the results highlight the need to consider offering smoking cessation treatment to individuals being treated for cannabis use disorders, and to include cannabis users in smoking cessation programs, the researchers noted.

“Based on our results, both public health and clinical efforts to improve cigarette quit outcomes may benefit from including those with any cannabis use,” they said. More research is needed to determine whether trends in the quit ratio change over time for cannabis users or those with cannabis use disorder, they added.

The study was funded by the National Institute on Drug Abuse. The researchers had no financial conflicts to disclose.

SOURCE: Weinberger AH et al. Tob Control. 2020;29(1):74-80. doi: 10.1136/tobaccocontrol-2018-054590.

Cigarette smokers who also use cannabis appear to face higher hurdles to quit smoking, a large national survey has found.

Scott Harms/iStockphoto

“Over the past decade, there has been an increase in the use of cannabis among cigarette smokers and prevalence of cigarettes and cannabis co-use, suggesting that the negative consequences of cigarette–cannabis co-use may also become more prevalent over time,” wrote Andrea H. Weinberger, PhD, of Yeshiva University, New York, and colleagues. They noted that the prevalence of cigarette smoking is nearly three times higher among persons who use cannabis and have cannabis use disorders relative to those who do not.

The 2019 National Survey of Drug Use and Health estimated that 15.9% of Americans aged 12 years or older used cannabis in the past year. This number has been rising throughout the 2000s.

In that same report, cannabis use disorder (or marijuana use disorder) was defined as when an individual experiences clinically significant impairment caused by the recurrent use of marijuana, including health problems, persistent or increasing use, and failure to meet major responsibilities at work, school, or home. The report stated that approximately 1.6% of Americans aged 12 or older in 2018 had marijuana use disorder.

In the study published in Tobacco Control, the researchers used the National Survey on Drug Use and Health data to analyze cigarette smoking quit ratios among U.S. adults with and without cannabis use and cannabis use disorders. “Quit ratio was calculated as the proportion of former smokers among lifetime smokers and is considered a measure of total cessation in a population,” the researchers said.

In 2016, the quit ratios for adults with a history of cannabis use or cannabis use disorders were 23% and 15%, respectively, compared with 51% and 48%, respectively, in those with no cannabis use or cannabis use disorders.

Overall, quit ratios did not change significantly from 2002 to 2016 for individuals with cannabis use disorders after controlling for multiple demographic factors and other substance use disorders. However, during the same time period, quit ratios showed a nonlinear increase in cannabis users, nonusers, and individuals without cannabis use disorders.

The study findings were limited by several factors including the inability to generalize results to youth or individuals living outside the United States, the use of DSM-IV criteria to identify cannabis use disorder, the use of self-reports, and the inability to examine the timing of cannabis use as related to attempts to quit smoking, the researchers noted. However, the results highlight the need to consider offering smoking cessation treatment to individuals being treated for cannabis use disorders, and to include cannabis users in smoking cessation programs, the researchers noted.

“Based on our results, both public health and clinical efforts to improve cigarette quit outcomes may benefit from including those with any cannabis use,” they said. More research is needed to determine whether trends in the quit ratio change over time for cannabis users or those with cannabis use disorder, they added.

The study was funded by the National Institute on Drug Abuse. The researchers had no financial conflicts to disclose.

SOURCE: Weinberger AH et al. Tob Control. 2020;29(1):74-80. doi: 10.1136/tobaccocontrol-2018-054590.

Cigarette smokers who also use cannabis appear to face higher hurdles to quit smoking, a large national survey has found.

Scott Harms/iStockphoto

“Over the past decade, there has been an increase in the use of cannabis among cigarette smokers and prevalence of cigarettes and cannabis co-use, suggesting that the negative consequences of cigarette–cannabis co-use may also become more prevalent over time,” wrote Andrea H. Weinberger, PhD, of Yeshiva University, New York, and colleagues. They noted that the prevalence of cigarette smoking is nearly three times higher among persons who use cannabis and have cannabis use disorders relative to those who do not.

The 2019 National Survey of Drug Use and Health estimated that 15.9% of Americans aged 12 years or older used cannabis in the past year. This number has been rising throughout the 2000s.

In that same report, cannabis use disorder (or marijuana use disorder) was defined as when an individual experiences clinically significant impairment caused by the recurrent use of marijuana, including health problems, persistent or increasing use, and failure to meet major responsibilities at work, school, or home. The report stated that approximately 1.6% of Americans aged 12 or older in 2018 had marijuana use disorder.

In the study published in Tobacco Control, the researchers used the National Survey on Drug Use and Health data to analyze cigarette smoking quit ratios among U.S. adults with and without cannabis use and cannabis use disorders. “Quit ratio was calculated as the proportion of former smokers among lifetime smokers and is considered a measure of total cessation in a population,” the researchers said.

In 2016, the quit ratios for adults with a history of cannabis use or cannabis use disorders were 23% and 15%, respectively, compared with 51% and 48%, respectively, in those with no cannabis use or cannabis use disorders.

Overall, quit ratios did not change significantly from 2002 to 2016 for individuals with cannabis use disorders after controlling for multiple demographic factors and other substance use disorders. However, during the same time period, quit ratios showed a nonlinear increase in cannabis users, nonusers, and individuals without cannabis use disorders.

The study findings were limited by several factors including the inability to generalize results to youth or individuals living outside the United States, the use of DSM-IV criteria to identify cannabis use disorder, the use of self-reports, and the inability to examine the timing of cannabis use as related to attempts to quit smoking, the researchers noted. However, the results highlight the need to consider offering smoking cessation treatment to individuals being treated for cannabis use disorders, and to include cannabis users in smoking cessation programs, the researchers noted.

“Based on our results, both public health and clinical efforts to improve cigarette quit outcomes may benefit from including those with any cannabis use,” they said. More research is needed to determine whether trends in the quit ratio change over time for cannabis users or those with cannabis use disorder, they added.

The study was funded by the National Institute on Drug Abuse. The researchers had no financial conflicts to disclose.

SOURCE: Weinberger AH et al. Tob Control. 2020;29(1):74-80. doi: 10.1136/tobaccocontrol-2018-054590.

A new and simple model for predicting risk of severe neutropenia in advanced lung cancer could ease the evaluation process and help inform patient management decisions, according to investigators.

The model, based on 10 pretreatment variables, appears to overcome limitations of a comprehensive risk prediction model that is not specific to lung cancer, according to Xiaowen Cao of Duke University, Durham, N.C., and coinvestigators.

“We believe that this model, once validated, will help oncologists accurately identify those patients with lung cancer who are at a high risk of developing severe neutropenia, based on simple, readily available information,” the researchers said in a report on their work, which appears in the journal Lung Cancer.

Oncologists could then make “proactive” decisions about monitoring of high-risk patients, modifying the dose of chemotherapy, and using prophylactic growth factors, the authors added.

Accurate, lung cancer–specific prediction models would be useful to estimate risk of neutropenia, which the investigators acknowledged as a serious chemotherapy-induced toxicity linked to life-threatening infections, dose delays, and reductions that can compromise treatment efficacy, and reduced health-related quality of life.

There are other, previously developed models to predict chemotherapy-induced neutropenia, but those have significant limitations, including development based on small patient sample sizes, according to the researchers.

A comprehensive risk model for neutropenic complications has been developed by Gary H. Lyman, MD, and colleagues, based on a large, prospective cohort including nearly 3,800 patients. That model performs well and had a 90% sensitivity and 96% predictive value; however, it’s not lung cancer specific, and hasn’t been externally validated, according to Ms. Cao and coauthors.

Accordingly, they set out to develop a new risk prediction model based on a lung cancer data set encompassing 11,352 patients from 67 phase 2 or 3 cooperative group studies conducted between 1991 and 2010.

The Lyman model in this data set had an area under the curve (AUC) of 0.8772 in patients with small cell lung cancer (SCLC), but an AUC of just 0.6787 in non–small cell lung cancer (NSCLC), suggesting “much better predictive performance in the SCLC,” the researchers noted.

They used stepwise logistic regression and lasso regression to develop a new model, which was derived based on about two-thirds of the patients, randomly selected, while the validation was conducted using the remaining third.

Variables included in the final model included age, gender, weight, BMI, insurance status, disease stage, number of metastatic sites, chemotherapy agents used, number of chemotherapy agents, planned growth factor use, duration of planned therapy, pleural effusion, presence of symptoms, and performance status.

That model had a good AUC, according to investigators, in both the training set and the testing set (0.8348 and 0.8234, respectively).

“It is worth noticing that our final model compensated for the deficiency of Lyman’s risk model in NSCLC patients,” the researchers noted in a discussion of their results.

The study was supported in part by grants from the National Institutes of Health, the National Center for Advancing Translational Sciences, and the Health and Medical Research Fund of Hong Kong. One study coauthor reported a conflict of interest outside the submitted work related to Genentech.

SOURCE: Cao X et al. Lung Cancer 2020 Jan 5. doi: 10.1016/j.lungcan.2020.01.004.

A new and simple model for predicting risk of severe neutropenia in advanced lung cancer could ease the evaluation process and help inform patient management decisions, according to investigators.

The model, based on 10 pretreatment variables, appears to overcome limitations of a comprehensive risk prediction model that is not specific to lung cancer, according to Xiaowen Cao of Duke University, Durham, N.C., and coinvestigators.

“We believe that this model, once validated, will help oncologists accurately identify those patients with lung cancer who are at a high risk of developing severe neutropenia, based on simple, readily available information,” the researchers said in a report on their work, which appears in the journal Lung Cancer.

Oncologists could then make “proactive” decisions about monitoring of high-risk patients, modifying the dose of chemotherapy, and using prophylactic growth factors, the authors added.

Accurate, lung cancer–specific prediction models would be useful to estimate risk of neutropenia, which the investigators acknowledged as a serious chemotherapy-induced toxicity linked to life-threatening infections, dose delays, and reductions that can compromise treatment efficacy, and reduced health-related quality of life.

There are other, previously developed models to predict chemotherapy-induced neutropenia, but those have significant limitations, including development based on small patient sample sizes, according to the researchers.

A comprehensive risk model for neutropenic complications has been developed by Gary H. Lyman, MD, and colleagues, based on a large, prospective cohort including nearly 3,800 patients. That model performs well and had a 90% sensitivity and 96% predictive value; however, it’s not lung cancer specific, and hasn’t been externally validated, according to Ms. Cao and coauthors.

Accordingly, they set out to develop a new risk prediction model based on a lung cancer data set encompassing 11,352 patients from 67 phase 2 or 3 cooperative group studies conducted between 1991 and 2010.

The Lyman model in this data set had an area under the curve (AUC) of 0.8772 in patients with small cell lung cancer (SCLC), but an AUC of just 0.6787 in non–small cell lung cancer (NSCLC), suggesting “much better predictive performance in the SCLC,” the researchers noted.

They used stepwise logistic regression and lasso regression to develop a new model, which was derived based on about two-thirds of the patients, randomly selected, while the validation was conducted using the remaining third.

Variables included in the final model included age, gender, weight, BMI, insurance status, disease stage, number of metastatic sites, chemotherapy agents used, number of chemotherapy agents, planned growth factor use, duration of planned therapy, pleural effusion, presence of symptoms, and performance status.

That model had a good AUC, according to investigators, in both the training set and the testing set (0.8348 and 0.8234, respectively).

“It is worth noticing that our final model compensated for the deficiency of Lyman’s risk model in NSCLC patients,” the researchers noted in a discussion of their results.

The study was supported in part by grants from the National Institutes of Health, the National Center for Advancing Translational Sciences, and the Health and Medical Research Fund of Hong Kong. One study coauthor reported a conflict of interest outside the submitted work related to Genentech.

SOURCE: Cao X et al. Lung Cancer 2020 Jan 5. doi: 10.1016/j.lungcan.2020.01.004.

A new and simple model for predicting risk of severe neutropenia in advanced lung cancer could ease the evaluation process and help inform patient management decisions, according to investigators.

The model, based on 10 pretreatment variables, appears to overcome limitations of a comprehensive risk prediction model that is not specific to lung cancer, according to Xiaowen Cao of Duke University, Durham, N.C., and coinvestigators.

“We believe that this model, once validated, will help oncologists accurately identify those patients with lung cancer who are at a high risk of developing severe neutropenia, based on simple, readily available information,” the researchers said in a report on their work, which appears in the journal Lung Cancer.

Oncologists could then make “proactive” decisions about monitoring of high-risk patients, modifying the dose of chemotherapy, and using prophylactic growth factors, the authors added.

Accurate, lung cancer–specific prediction models would be useful to estimate risk of neutropenia, which the investigators acknowledged as a serious chemotherapy-induced toxicity linked to life-threatening infections, dose delays, and reductions that can compromise treatment efficacy, and reduced health-related quality of life.

There are other, previously developed models to predict chemotherapy-induced neutropenia, but those have significant limitations, including development based on small patient sample sizes, according to the researchers.

A comprehensive risk model for neutropenic complications has been developed by Gary H. Lyman, MD, and colleagues, based on a large, prospective cohort including nearly 3,800 patients. That model performs well and had a 90% sensitivity and 96% predictive value; however, it’s not lung cancer specific, and hasn’t been externally validated, according to Ms. Cao and coauthors.

Accordingly, they set out to develop a new risk prediction model based on a lung cancer data set encompassing 11,352 patients from 67 phase 2 or 3 cooperative group studies conducted between 1991 and 2010.

The Lyman model in this data set had an area under the curve (AUC) of 0.8772 in patients with small cell lung cancer (SCLC), but an AUC of just 0.6787 in non–small cell lung cancer (NSCLC), suggesting “much better predictive performance in the SCLC,” the researchers noted.

They used stepwise logistic regression and lasso regression to develop a new model, which was derived based on about two-thirds of the patients, randomly selected, while the validation was conducted using the remaining third.

Variables included in the final model included age, gender, weight, BMI, insurance status, disease stage, number of metastatic sites, chemotherapy agents used, number of chemotherapy agents, planned growth factor use, duration of planned therapy, pleural effusion, presence of symptoms, and performance status.

That model had a good AUC, according to investigators, in both the training set and the testing set (0.8348 and 0.8234, respectively).

“It is worth noticing that our final model compensated for the deficiency of Lyman’s risk model in NSCLC patients,” the researchers noted in a discussion of their results.

The study was supported in part by grants from the National Institutes of Health, the National Center for Advancing Translational Sciences, and the Health and Medical Research Fund of Hong Kong. One study coauthor reported a conflict of interest outside the submitted work related to Genentech.

SOURCE: Cao X et al. Lung Cancer 2020 Jan 5. doi: 10.1016/j.lungcan.2020.01.004.

Declines in death rates for lung cancer and melanoma have gained momentum in recent years, fueling a record drop in cancer mortality, the American Cancer Society says.

Lung cancer death rates, which were falling by 3% in men and 2% in women annually in 2008 through 2013, dropped by 5% in men and nearly 4% per year in women annually from 2013 to 2017, according to the society’s 2020 statistical report.

Those accelerating reductions in death rates helped fuel the biggest-ever single year decline in overall cancer mortality, of 2.2%, from 2016 to 2017, their report shows.

According to the investigators, the decline in melanoma death rates escalated to 6.9% per year among 20- to 49-year-olds over 2013-2017, compared with a decline of just 2.9% per year during 2006-2010. Likewise, the melanoma death rate decline was 7.2% annually for the more recent time period, compared with just 1.3% annually in the earlier time period. The finding was even more remarkable for those 65 years of age and older, according to investigators, since the declines in melanoma death rates reached 6.2% annually, compared with a 0.9% annual increase in the years before immunotherapy.

Smoking cessation has been the main driver of progress in cutting lung cancer death rates, according to the report, while in melanoma, death rates have dropped after the introduction of immune checkpoint inhibitors and targeted therapies.

By contrast, reductions in death rates have slowed for colorectal cancers and female breast cancers, and have stabilized for prostate cancer, Ms. Siegel and coauthors stated, adding that racial and geographic disparities persist in preventable cancers, including those of the lung and cervix.

“Increased investment in both the equitable application of existing cancer control interventions and basic and clinical research to further advance treatment options would undoubtedly accelerate progress against cancer,” said the investigators. The report appears in CA: A Cancer Journal for Clinicians.

While the decline in lung cancer death rates is good news, the disease remains a major killer, responsible for more deaths than breast, colorectal, and ovarian cancer combined, said Jacques P. Fontaine, MD, a thoracic surgeon at Moffitt Cancer Center in Tampa, Fla.

“Five-year survival rates are still around the 18%-20% range, which is much lower than breast and prostate cancer,” Dr. Fontaine said in an interview. “Nonetheless, we’ve made a little dent in that, and we’re improving.”

Two other factors that have helped spur that improvement, according to Dr. Fontaine, are the reduced incidence of squamous cell carcinomas, which are linked to smoking, and the increased use of lung cancer screening with low-dose computed tomography.

Squamous cell carcinomas tend to be a central rather than peripheral, which makes the tumors harder to resect: “Surgery is sometimes not an option, and even to this day in 2020, the single most effective treatment for lung cancer remains surgical resection,” said Dr. Fontaine.

Likewise, centrally located tumors may preclude giving high-dose radiation and may result in more “collateral damage” to healthy tissue, he added.

Landmark studies show that low-dose CT scans reduce lung cancer deaths by 20% or more; however, screening can have false-positive results that lead to unnecessary biopsies and other harms, suggesting that the procedures should be done in centers of excellence that provide high-quality, responsible screening for early lung cancer, Dr. Fontaine said.

While the drop in melanoma death rates is encouraging and, not surprising in light of new cutting-edge therapies, an ongoing unmet treatment need still exists, according to Vishal Anil Patel, MD, director of cutaneous oncology at the George Washington Cancer Center in Washington.

“We still have a lot to learn, and a way to go, because we’ve really just made the first breakthrough,” Dr. Patel said in an interview.

SOURCE: Siegel RL et al. CA Cancer J Clin. 2020;70(1):7-30. doi: 10.3322/caac.21590.

Declines in death rates for lung cancer and melanoma have gained momentum in recent years, fueling a record drop in cancer mortality, the American Cancer Society says.

Lung cancer death rates, which were falling by 3% in men and 2% in women annually in 2008 through 2013, dropped by 5% in men and nearly 4% per year in women annually from 2013 to 2017, according to the society’s 2020 statistical report.

Those accelerating reductions in death rates helped fuel the biggest-ever single year decline in overall cancer mortality, of 2.2%, from 2016 to 2017, their report shows.

According to the investigators, the decline in melanoma death rates escalated to 6.9% per year among 20- to 49-year-olds over 2013-2017, compared with a decline of just 2.9% per year during 2006-2010. Likewise, the melanoma death rate decline was 7.2% annually for the more recent time period, compared with just 1.3% annually in the earlier time period. The finding was even more remarkable for those 65 years of age and older, according to investigators, since the declines in melanoma death rates reached 6.2% annually, compared with a 0.9% annual increase in the years before immunotherapy.

Smoking cessation has been the main driver of progress in cutting lung cancer death rates, according to the report, while in melanoma, death rates have dropped after the introduction of immune checkpoint inhibitors and targeted therapies.

By contrast, reductions in death rates have slowed for colorectal cancers and female breast cancers, and have stabilized for prostate cancer, Ms. Siegel and coauthors stated, adding that racial and geographic disparities persist in preventable cancers, including those of the lung and cervix.

“Increased investment in both the equitable application of existing cancer control interventions and basic and clinical research to further advance treatment options would undoubtedly accelerate progress against cancer,” said the investigators. The report appears in CA: A Cancer Journal for Clinicians.

While the decline in lung cancer death rates is good news, the disease remains a major killer, responsible for more deaths than breast, colorectal, and ovarian cancer combined, said Jacques P. Fontaine, MD, a thoracic surgeon at Moffitt Cancer Center in Tampa, Fla.

“Five-year survival rates are still around the 18%-20% range, which is much lower than breast and prostate cancer,” Dr. Fontaine said in an interview. “Nonetheless, we’ve made a little dent in that, and we’re improving.”

Two other factors that have helped spur that improvement, according to Dr. Fontaine, are the reduced incidence of squamous cell carcinomas, which are linked to smoking, and the increased use of lung cancer screening with low-dose computed tomography.

Squamous cell carcinomas tend to be a central rather than peripheral, which makes the tumors harder to resect: “Surgery is sometimes not an option, and even to this day in 2020, the single most effective treatment for lung cancer remains surgical resection,” said Dr. Fontaine.

Likewise, centrally located tumors may preclude giving high-dose radiation and may result in more “collateral damage” to healthy tissue, he added.

Landmark studies show that low-dose CT scans reduce lung cancer deaths by 20% or more; however, screening can have false-positive results that lead to unnecessary biopsies and other harms, suggesting that the procedures should be done in centers of excellence that provide high-quality, responsible screening for early lung cancer, Dr. Fontaine said.

While the drop in melanoma death rates is encouraging and, not surprising in light of new cutting-edge therapies, an ongoing unmet treatment need still exists, according to Vishal Anil Patel, MD, director of cutaneous oncology at the George Washington Cancer Center in Washington.

“We still have a lot to learn, and a way to go, because we’ve really just made the first breakthrough,” Dr. Patel said in an interview.

SOURCE: Siegel RL et al. CA Cancer J Clin. 2020;70(1):7-30. doi: 10.3322/caac.21590.

Declines in death rates for lung cancer and melanoma have gained momentum in recent years, fueling a record drop in cancer mortality, the American Cancer Society says.

Lung cancer death rates, which were falling by 3% in men and 2% in women annually in 2008 through 2013, dropped by 5% in men and nearly 4% per year in women annually from 2013 to 2017, according to the society’s 2020 statistical report.

Those accelerating reductions in death rates helped fuel the biggest-ever single year decline in overall cancer mortality, of 2.2%, from 2016 to 2017, their report shows.

According to the investigators, the decline in melanoma death rates escalated to 6.9% per year among 20- to 49-year-olds over 2013-2017, compared with a decline of just 2.9% per year during 2006-2010. Likewise, the melanoma death rate decline was 7.2% annually for the more recent time period, compared with just 1.3% annually in the earlier time period. The finding was even more remarkable for those 65 years of age and older, according to investigators, since the declines in melanoma death rates reached 6.2% annually, compared with a 0.9% annual increase in the years before immunotherapy.

Smoking cessation has been the main driver of progress in cutting lung cancer death rates, according to the report, while in melanoma, death rates have dropped after the introduction of immune checkpoint inhibitors and targeted therapies.

By contrast, reductions in death rates have slowed for colorectal cancers and female breast cancers, and have stabilized for prostate cancer, Ms. Siegel and coauthors stated, adding that racial and geographic disparities persist in preventable cancers, including those of the lung and cervix.

“Increased investment in both the equitable application of existing cancer control interventions and basic and clinical research to further advance treatment options would undoubtedly accelerate progress against cancer,” said the investigators. The report appears in CA: A Cancer Journal for Clinicians.

While the decline in lung cancer death rates is good news, the disease remains a major killer, responsible for more deaths than breast, colorectal, and ovarian cancer combined, said Jacques P. Fontaine, MD, a thoracic surgeon at Moffitt Cancer Center in Tampa, Fla.

“Five-year survival rates are still around the 18%-20% range, which is much lower than breast and prostate cancer,” Dr. Fontaine said in an interview. “Nonetheless, we’ve made a little dent in that, and we’re improving.”

Two other factors that have helped spur that improvement, according to Dr. Fontaine, are the reduced incidence of squamous cell carcinomas, which are linked to smoking, and the increased use of lung cancer screening with low-dose computed tomography.

Squamous cell carcinomas tend to be a central rather than peripheral, which makes the tumors harder to resect: “Surgery is sometimes not an option, and even to this day in 2020, the single most effective treatment for lung cancer remains surgical resection,” said Dr. Fontaine.

Likewise, centrally located tumors may preclude giving high-dose radiation and may result in more “collateral damage” to healthy tissue, he added.

Landmark studies show that low-dose CT scans reduce lung cancer deaths by 20% or more; however, screening can have false-positive results that lead to unnecessary biopsies and other harms, suggesting that the procedures should be done in centers of excellence that provide high-quality, responsible screening for early lung cancer, Dr. Fontaine said.

While the drop in melanoma death rates is encouraging and, not surprising in light of new cutting-edge therapies, an ongoing unmet treatment need still exists, according to Vishal Anil Patel, MD, director of cutaneous oncology at the George Washington Cancer Center in Washington.

“We still have a lot to learn, and a way to go, because we’ve really just made the first breakthrough,” Dr. Patel said in an interview.

SOURCE: Siegel RL et al. CA Cancer J Clin. 2020;70(1):7-30. doi: 10.3322/caac.21590.

A new tool specifically designed to evaluate immune checkpoint inhibitor–related toxicity, developed based on direct patient involvement, picks up on cutaneous and other side effects that would be missed using traditional quality of life questionnaires, investigators say.

The 25-item list represents the first-ever health-related quality of life (HRQOL) toxicity subscale developed for patients receiving checkpoint inhibitors, according to the investigators, led by Aaron R. Hansen, MBBS, of the division of medical oncology and hematology in the department of medicine at the University of Toronto.

The toxicity subscale is combined with the Functional Assessment of Cancer Therapy–General (FACT-G), which measures physical, emotional, family and social, and functional domains, to form the Functional Assessment of Cancer Therapy–Immune Checkpoint Modulator (FACT-ICM), Dr. Hansen stated in a recent report that describes initial development and early validation efforts.

The FACT-ICM could become an important tool for measuring HRQOL in patients receiving checkpoint inhibitors, depending on results of further investigations including more patients, the authors wrote in that report.

“Currently, we would recommend that our toxicity subscale be validated first before use in clinical care, or in trials with QOL as a primary or secondary endpoint,” wrote Dr. Hansen and colleagues in the report, which appears in Cancer.

The toxicity subscale asks patients to rate items such as “I am bothered by dry skin,” “I feel pain, soreness or aches in some of my muscles,” and “My fatigue keeps me from doing the things I want do” on a scale of 0 (not at all) to 4 (very much).

Development of the toxicity subscale was based on focus groups and interviews with 37 patients with a variety of cancer types who were being treated with a PD-1, PD-L1, and CTLA-4 immune checkpoint inhibitors. Sixteen physicians were surveyed to evaluate the patient input, while 11 of them also participated in follow-up interviews.

“At every step in this process, the patients were central,” the investigators wrote in their report.

According to the investigators, that approach is in line with guidance from the Food and Drug Administration, which has said that meaningful patient input should be used in the upfront development of patient-reported outcome (PRO) measures, rather than obtaining patient endorsement after the fact.

By contrast, an electronic PRO immune-oncology module recently developed, based on 19 immune-related adverse events from drug labels and clinical trial reports, had “no evaluation” of effects on HRQOL, according to Dr. Hansen and coauthors, who added that the tool “did not adhere” to the FDA call for meaningful patient input.

Some previous studies of quality of life in immune checkpoint inhibitor–treated patients have used tumor-specific PROs and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire–Core 30 Items (EORTC-QLQ-C30).

The new, immune checkpoint inhibitor–specific toxicity subscale has “broader coverage” of side effects that reportedly affect HRQOL in patients treated with these agents, including taste disturbance, cough, and fever or chills, according to the investigators.

Moreover, the EORTC-QLQ-C30 and the EORTC head and neck cancer–specific-35 module (EORTC QLQ-H&N35), do not include items related to cutaneous adverse events such as itch, rash, and dry skin that have been seen in some checkpoint inhibitor clinical trials, they noted.

“This represents a clear limitation of such preexisting PRO instruments, which should be addressed with our immune checkpoint moduator–specific tool,” they wrote.

The study was supported by a grant from the University of Toronto. Authors of the study provided disclosures related to Merck, Bristol-Myers Squibb, Karyopharm, Boston Biomedical, Novartis, Genentech, Hoffmann La Roche, GlaxoSmithKline, and others.

SOURCE: Hansen AR et al. Cancer. 2020 Jan 8. doi: 10.1002/cncr.32692.

A new tool specifically designed to evaluate immune checkpoint inhibitor–related toxicity, developed based on direct patient involvement, picks up on cutaneous and other side effects that would be missed using traditional quality of life questionnaires, investigators say.

The 25-item list represents the first-ever health-related quality of life (HRQOL) toxicity subscale developed for patients receiving checkpoint inhibitors, according to the investigators, led by Aaron R. Hansen, MBBS, of the division of medical oncology and hematology in the department of medicine at the University of Toronto.

The toxicity subscale is combined with the Functional Assessment of Cancer Therapy–General (FACT-G), which measures physical, emotional, family and social, and functional domains, to form the Functional Assessment of Cancer Therapy–Immune Checkpoint Modulator (FACT-ICM), Dr. Hansen stated in a recent report that describes initial development and early validation efforts.

The FACT-ICM could become an important tool for measuring HRQOL in patients receiving checkpoint inhibitors, depending on results of further investigations including more patients, the authors wrote in that report.

“Currently, we would recommend that our toxicity subscale be validated first before use in clinical care, or in trials with QOL as a primary or secondary endpoint,” wrote Dr. Hansen and colleagues in the report, which appears in Cancer.

The toxicity subscale asks patients to rate items such as “I am bothered by dry skin,” “I feel pain, soreness or aches in some of my muscles,” and “My fatigue keeps me from doing the things I want do” on a scale of 0 (not at all) to 4 (very much).

Development of the toxicity subscale was based on focus groups and interviews with 37 patients with a variety of cancer types who were being treated with a PD-1, PD-L1, and CTLA-4 immune checkpoint inhibitors. Sixteen physicians were surveyed to evaluate the patient input, while 11 of them also participated in follow-up interviews.

“At every step in this process, the patients were central,” the investigators wrote in their report.

According to the investigators, that approach is in line with guidance from the Food and Drug Administration, which has said that meaningful patient input should be used in the upfront development of patient-reported outcome (PRO) measures, rather than obtaining patient endorsement after the fact.

By contrast, an electronic PRO immune-oncology module recently developed, based on 19 immune-related adverse events from drug labels and clinical trial reports, had “no evaluation” of effects on HRQOL, according to Dr. Hansen and coauthors, who added that the tool “did not adhere” to the FDA call for meaningful patient input.

Some previous studies of quality of life in immune checkpoint inhibitor–treated patients have used tumor-specific PROs and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire–Core 30 Items (EORTC-QLQ-C30).

The new, immune checkpoint inhibitor–specific toxicity subscale has “broader coverage” of side effects that reportedly affect HRQOL in patients treated with these agents, including taste disturbance, cough, and fever or chills, according to the investigators.

Moreover, the EORTC-QLQ-C30 and the EORTC head and neck cancer–specific-35 module (EORTC QLQ-H&N35), do not include items related to cutaneous adverse events such as itch, rash, and dry skin that have been seen in some checkpoint inhibitor clinical trials, they noted.

“This represents a clear limitation of such preexisting PRO instruments, which should be addressed with our immune checkpoint moduator–specific tool,” they wrote.

The study was supported by a grant from the University of Toronto. Authors of the study provided disclosures related to Merck, Bristol-Myers Squibb, Karyopharm, Boston Biomedical, Novartis, Genentech, Hoffmann La Roche, GlaxoSmithKline, and others.

SOURCE: Hansen AR et al. Cancer. 2020 Jan 8. doi: 10.1002/cncr.32692.

A new tool specifically designed to evaluate immune checkpoint inhibitor–related toxicity, developed based on direct patient involvement, picks up on cutaneous and other side effects that would be missed using traditional quality of life questionnaires, investigators say.

The 25-item list represents the first-ever health-related quality of life (HRQOL) toxicity subscale developed for patients receiving checkpoint inhibitors, according to the investigators, led by Aaron R. Hansen, MBBS, of the division of medical oncology and hematology in the department of medicine at the University of Toronto.

The toxicity subscale is combined with the Functional Assessment of Cancer Therapy–General (FACT-G), which measures physical, emotional, family and social, and functional domains, to form the Functional Assessment of Cancer Therapy–Immune Checkpoint Modulator (FACT-ICM), Dr. Hansen stated in a recent report that describes initial development and early validation efforts.

The FACT-ICM could become an important tool for measuring HRQOL in patients receiving checkpoint inhibitors, depending on results of further investigations including more patients, the authors wrote in that report.

“Currently, we would recommend that our toxicity subscale be validated first before use in clinical care, or in trials with QOL as a primary or secondary endpoint,” wrote Dr. Hansen and colleagues in the report, which appears in Cancer.

The toxicity subscale asks patients to rate items such as “I am bothered by dry skin,” “I feel pain, soreness or aches in some of my muscles,” and “My fatigue keeps me from doing the things I want do” on a scale of 0 (not at all) to 4 (very much).

Development of the toxicity subscale was based on focus groups and interviews with 37 patients with a variety of cancer types who were being treated with a PD-1, PD-L1, and CTLA-4 immune checkpoint inhibitors. Sixteen physicians were surveyed to evaluate the patient input, while 11 of them also participated in follow-up interviews.

“At every step in this process, the patients were central,” the investigators wrote in their report.

According to the investigators, that approach is in line with guidance from the Food and Drug Administration, which has said that meaningful patient input should be used in the upfront development of patient-reported outcome (PRO) measures, rather than obtaining patient endorsement after the fact.

By contrast, an electronic PRO immune-oncology module recently developed, based on 19 immune-related adverse events from drug labels and clinical trial reports, had “no evaluation” of effects on HRQOL, according to Dr. Hansen and coauthors, who added that the tool “did not adhere” to the FDA call for meaningful patient input.

Some previous studies of quality of life in immune checkpoint inhibitor–treated patients have used tumor-specific PROs and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire–Core 30 Items (EORTC-QLQ-C30).

The new, immune checkpoint inhibitor–specific toxicity subscale has “broader coverage” of side effects that reportedly affect HRQOL in patients treated with these agents, including taste disturbance, cough, and fever or chills, according to the investigators.

Moreover, the EORTC-QLQ-C30 and the EORTC head and neck cancer–specific-35 module (EORTC QLQ-H&N35), do not include items related to cutaneous adverse events such as itch, rash, and dry skin that have been seen in some checkpoint inhibitor clinical trials, they noted.

“This represents a clear limitation of such preexisting PRO instruments, which should be addressed with our immune checkpoint moduator–specific tool,” they wrote.

The study was supported by a grant from the University of Toronto. Authors of the study provided disclosures related to Merck, Bristol-Myers Squibb, Karyopharm, Boston Biomedical, Novartis, Genentech, Hoffmann La Roche, GlaxoSmithKline, and others.

SOURCE: Hansen AR et al. Cancer. 2020 Jan 8. doi: 10.1002/cncr.32692.