Pub Date : 2024-09-12DOI: 10.1158/1055-9965.epi-24-0450
Joseph Boyle, Jessica Yau, Jimmie L. Slade, Derrick A. Butts, Jessica Wimbush, Jong Y. Park, Arif Hussain, Eberechukwu Onukwugha, Cheryl L. Knott, David C. Wheeler, Kathryn Hughes Barry
Background: Studies have identified associations between neighborhood disadvantage (ND), which is more likely to affect African American (AA) individuals, and aggressive prostate cancer. Thus, ND may contribute to prostate cancer disparities. However, it is unknown what ND components drive aggressive disease and whether associations vary by race. Methods: We evaluated associations between aggressive prostate cancer and four ND metrics—Area Deprivation Index (ADI), validated Bayesian Neighborhood Deprivation Index (NDI), racial isolation (RI) index, and historical redlining, and whether these factors interacted with race, among men with prostate cancer treated at the University of Maryland Greenebaum Comprehensive Cancer Center (2004–2021). Results: We included 1,458 men (698 European American and 760 AA). AA men were more likely to experience ND. In adjusted models, the ADI, RI, and redlining were significantly associated with aggressive versus nonaggressive prostate cancer overall [ADI, OR for one SD increase = 1.14, 95% confidence interval (CI), 1.00–1.30; RI, OR = 1.27, CI, 1.07–1.51; redlining, OR = 1.77; CI, 1.23–2.56] and among AA men. The NDI was associated with aggressive prostate cancer among AA men (OR = 1.32, 95% credible interval: 1.13–1.57); percent in poverty received the largest importance weight. The ADI (P heterogeneity = 0.002) and NDI (exceedance probability heterogeneity = 98.1%) significantly interacted with race, such that associations were significantly stronger for AA men. Conclusions: We identified novel significant positive associations for racial segregation and historical redlining with aggressive prostate cancer and significant interactions between ND indices and race. Impact: Findings inform specific ND components that are associated with aggressive prostate cancer and suggest the ND effect is stronger for AA men, which has implications for interventions to reduce disparities.
{"title":"Neighborhood Disadvantage and Prostate Tumor Aggressiveness among African American and European American Men","authors":"Joseph Boyle, Jessica Yau, Jimmie L. Slade, Derrick A. Butts, Jessica Wimbush, Jong Y. Park, Arif Hussain, Eberechukwu Onukwugha, Cheryl L. Knott, David C. Wheeler, Kathryn Hughes Barry","doi":"10.1158/1055-9965.epi-24-0450","DOIUrl":"https://doi.org/10.1158/1055-9965.epi-24-0450","url":null,"abstract":"Background: Studies have identified associations between neighborhood disadvantage (ND), which is more likely to affect African American (AA) individuals, and aggressive prostate cancer. Thus, ND may contribute to prostate cancer disparities. However, it is unknown what ND components drive aggressive disease and whether associations vary by race. Methods: We evaluated associations between aggressive prostate cancer and four ND metrics—Area Deprivation Index (ADI), validated Bayesian Neighborhood Deprivation Index (NDI), racial isolation (RI) index, and historical redlining, and whether these factors interacted with race, among men with prostate cancer treated at the University of Maryland Greenebaum Comprehensive Cancer Center (2004–2021). Results: We included 1,458 men (698 European American and 760 AA). AA men were more likely to experience ND. In adjusted models, the ADI, RI, and redlining were significantly associated with aggressive versus nonaggressive prostate cancer overall [ADI, OR for one SD increase = 1.14, 95% confidence interval (CI), 1.00–1.30; RI, OR = 1.27, CI, 1.07–1.51; redlining, OR = 1.77; CI, 1.23–2.56] and among AA men. The NDI was associated with aggressive prostate cancer among AA men (OR = 1.32, 95% credible interval: 1.13–1.57); percent in poverty received the largest importance weight. The ADI (P heterogeneity = 0.002) and NDI (exceedance probability heterogeneity = 98.1%) significantly interacted with race, such that associations were significantly stronger for AA men. Conclusions: We identified novel significant positive associations for racial segregation and historical redlining with aggressive prostate cancer and significant interactions between ND indices and race. Impact: Findings inform specific ND components that are associated with aggressive prostate cancer and suggest the ND effect is stronger for AA men, which has implications for interventions to reduce disparities.","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":"12 1","pages":"OF1-OF9"},"PeriodicalIF":3.8,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142200142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-11DOI: 10.1158/1055-9965.epi-24-0594
Sarah S. Kalia, Nicholas J. Boddicker, Siddhartha Yadav, Hongyan Huang, Jie Na, Chunling Hu, Christine B. Ambrosone, Song Yao, Christopher A. Haiman, Fei Chen, Esther M. John, Allison W. Kurian, Boya Guo, Sara Lindström, Paul Auer, James V. Lacey, Susan L. Neuhausen, Maria Elena. Martinez, Dale P. Sandler, Katie M. O'Brien, Jack A. Taylor, Lauren R. Teras, James M. Hodge, Adriana Lori, Clara Bodelon, Amy Trentham-Dietz, Elizabeth S. Burnside, Celine M. Vachon, Stacey J. Winham, David E. Goldgar, Susan M. Domchek, Katherine L. Nathanson, Jeffrey N. Weitzel, Fergus J. Couch, Peter Kraft
Background: Breast cancer has been associated with monogenic, polygenic, and epidemiologic (clinical, reproductive and lifestyle) risk factors, but studies evaluating the combined effects of these factors have been limited. Methods: We extended previous work in breast cancer risk modeling, incorporating pathogenic variants (PV) in six breast cancer predisposition genes and a 105-SNP polygenic risk score (PRS), to include an epidemiologic risk score (ERS) in a sample of non-Hispanic White women drawn from prospective cohorts and population-based case-control studies, with 23,518 cases and 22,832 controls, from the Cancer Risk Estimates Related to Susceptibility (CARRIERS) Consortium. Results: The model predicts 4.4-fold higher risk of breast cancer for postmenopausal women with no predisposition PV and median PRS, but with the highest versus lowest ERS. Overall, women with CHEK2 PVs had >20% lifetime risk of breast cancer. However, 15.6% of women with CHEK2 PVs and a family history of breast cancer, and 45.1% of women with CHEK2 PVs but without a family history of breast cancer, had low (<20%) predicted lifetime risk and thus were below the threshold for MRI screening. CHEK2 PV carriers at the 10th percentile of the joint distribution of ERS and PRS, without a family history of breast cancer, had a predicted lifetime risk similar to the general population. Conclusions: These results illustrate that an ERS, alone and combined with the PRS, can contribute to clinically relevant risk stratification. Impact: Integrating monogenic, polygenic, and epidemiologic risk factors in breast cancer risk prediction models may inform personalized screening and prevention efforts.
{"title":"Development of a breast cancer risk prediction model integrating monogenic, polygenic, and epidemiologic risk","authors":"Sarah S. Kalia, Nicholas J. Boddicker, Siddhartha Yadav, Hongyan Huang, Jie Na, Chunling Hu, Christine B. Ambrosone, Song Yao, Christopher A. Haiman, Fei Chen, Esther M. John, Allison W. Kurian, Boya Guo, Sara Lindström, Paul Auer, James V. Lacey, Susan L. Neuhausen, Maria Elena. Martinez, Dale P. Sandler, Katie M. O'Brien, Jack A. Taylor, Lauren R. Teras, James M. Hodge, Adriana Lori, Clara Bodelon, Amy Trentham-Dietz, Elizabeth S. Burnside, Celine M. Vachon, Stacey J. Winham, David E. Goldgar, Susan M. Domchek, Katherine L. Nathanson, Jeffrey N. Weitzel, Fergus J. Couch, Peter Kraft","doi":"10.1158/1055-9965.epi-24-0594","DOIUrl":"https://doi.org/10.1158/1055-9965.epi-24-0594","url":null,"abstract":"Background: Breast cancer has been associated with monogenic, polygenic, and epidemiologic (clinical, reproductive and lifestyle) risk factors, but studies evaluating the combined effects of these factors have been limited. Methods: We extended previous work in breast cancer risk modeling, incorporating pathogenic variants (PV) in six breast cancer predisposition genes and a 105-SNP polygenic risk score (PRS), to include an epidemiologic risk score (ERS) in a sample of non-Hispanic White women drawn from prospective cohorts and population-based case-control studies, with 23,518 cases and 22,832 controls, from the Cancer Risk Estimates Related to Susceptibility (CARRIERS) Consortium. Results: The model predicts 4.4-fold higher risk of breast cancer for postmenopausal women with no predisposition PV and median PRS, but with the highest versus lowest ERS. Overall, women with CHEK2 PVs had &gt;20% lifetime risk of breast cancer. However, 15.6% of women with CHEK2 PVs and a family history of breast cancer, and 45.1% of women with CHEK2 PVs but without a family history of breast cancer, had low (&lt;20%) predicted lifetime risk and thus were below the threshold for MRI screening. CHEK2 PV carriers at the 10th percentile of the joint distribution of ERS and PRS, without a family history of breast cancer, had a predicted lifetime risk similar to the general population. Conclusions: These results illustrate that an ERS, alone and combined with the PRS, can contribute to clinically relevant risk stratification. Impact: Integrating monogenic, polygenic, and epidemiologic risk factors in breast cancer risk prediction models may inform personalized screening and prevention efforts.","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":"61 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142225754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-10DOI: 10.1158/1055-9965.epi-24-0791
April R. Williams, Thomas S. Redding, Brian A. Sullivan, Robin N. Baidya, Belinda Ear, Kelly Cho, Kerry L. Ivey, Christina D. Williams, Jason A. Dominitz, David Lieberman, Elizabeth R. Hauser
Background: Risk for colorectal cancer (CRC) may accumulate through multiple environmental factors. Understanding their effects, along with genetics, age and family history, could allow improvements in clinical decisions for screening protocols. We aimed to extend previous work by recalibrating an environmental risk score (e-Score) for CRC among a sample of US Veteran participants of the Million Veteran Program (MVP). Methods: Demographic, lifestyle, and CRC data from 2011-2022 were abstracted from survey responses and health records of 227,504 male MVP participants. Weighting for each environmental factor’s effect size was recalculated using VA training data to create a recalibrated e-Score. This recalibrated score was compared with the original weighted e-Score in a validation sample of 113,752 (n cases=590). Nested multiple logistic regression models tested associations between quintiles for recalibrated and original e-Scores. Likelihood Ratio Tests were used to compare model performance. Results: Age (p<0.0001), education (p<0.0001), diabetes (p<0.0001), physical activity (p<0.0001), smoking (p<0.0001), NSAID use (p<0.0001), calcium (p=0.015), folate (p=0.020), and fruit consumption (p=0.019) were significantly different between CRC case and control groups. In the validation sample, the recalibrated e-Score model significantly improved the base model performance (p<0.001), but the original e-Score model did not (p=0.07). The recalibrated e-Score model quintile 5 was associated with significantly higher odds for CRC compared with quintile 1 (Q5 vs Q1: 1.79, 95% CI: 1.38-2.33). Conclusions: Multiple environmental factors, and the recalibrated e-Score quintiles were significantly associated with CRC cases. Impact: A recalibrated, Veteran-specific e-Score could be used to help personalize CRC screening and prevention strategies.
{"title":"Recalibrating the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) Environmental Risk Score for Use in US Veterans","authors":"April R. Williams, Thomas S. Redding, Brian A. Sullivan, Robin N. Baidya, Belinda Ear, Kelly Cho, Kerry L. Ivey, Christina D. Williams, Jason A. Dominitz, David Lieberman, Elizabeth R. Hauser","doi":"10.1158/1055-9965.epi-24-0791","DOIUrl":"https://doi.org/10.1158/1055-9965.epi-24-0791","url":null,"abstract":"Background: Risk for colorectal cancer (CRC) may accumulate through multiple environmental factors. Understanding their effects, along with genetics, age and family history, could allow improvements in clinical decisions for screening protocols. We aimed to extend previous work by recalibrating an environmental risk score (e-Score) for CRC among a sample of US Veteran participants of the Million Veteran Program (MVP). Methods: Demographic, lifestyle, and CRC data from 2011-2022 were abstracted from survey responses and health records of 227,504 male MVP participants. Weighting for each environmental factor’s effect size was recalculated using VA training data to create a recalibrated e-Score. This recalibrated score was compared with the original weighted e-Score in a validation sample of 113,752 (n cases=590). Nested multiple logistic regression models tested associations between quintiles for recalibrated and original e-Scores. Likelihood Ratio Tests were used to compare model performance. Results: Age (p&lt;0.0001), education (p&lt;0.0001), diabetes (p&lt;0.0001), physical activity (p&lt;0.0001), smoking (p&lt;0.0001), NSAID use (p&lt;0.0001), calcium (p=0.015), folate (p=0.020), and fruit consumption (p=0.019) were significantly different between CRC case and control groups. In the validation sample, the recalibrated e-Score model significantly improved the base model performance (p&lt;0.001), but the original e-Score model did not (p=0.07). The recalibrated e-Score model quintile 5 was associated with significantly higher odds for CRC compared with quintile 1 (Q5 vs Q1: 1.79, 95% CI: 1.38-2.33). Conclusions: Multiple environmental factors, and the recalibrated e-Score quintiles were significantly associated with CRC cases. Impact: A recalibrated, Veteran-specific e-Score could be used to help personalize CRC screening and prevention strategies.","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":"8 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142225730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-06DOI: 10.1158/1055-9965.EPI-24-0794
Chelsea Anderson, Jeannette T Bensen, Emma H Allott, Patricia V Basta, Debra E Irwin, Adrian Gerstel, Laura Farnan, Hung-Jui Tan, Erin E Kent, Tzy-Mey Kuo, Christopher D Baggett, Andrew F Olshan, H Shelton Earp, Hazel B Nichols
Background: Rapid growth in the number of U.S. cancer survivors drives the need for ongoing research efforts to improve outcomes and experiences after cancer. Here we describe the University of North Carolina (UNC) Cancer Survivorship Cohort, a medical center-based cohort of adults with cancer that integrates medical record-abstracted cancer information, patient-reported outcomes, and biologic specimens.
Methods: Participants ages 18+ were recruited from UNC oncology clinics between April 2010 and August 2016. After enrollment, participants completed questionnaires on a range of topics including demographics, health history, health care access and utilization, quality of life, and symptoms. Blood samples and tumor tissue specimens were collected and processed by study staff, and cancer characteristics and other clinical data were abstracted from electronic medical records. Participants consented to recontact for future studies and linkage of their data with other data resources.
Results: In total, 3,999 participants with a cancer diagnosis were enrolled in the cohort. The most common cancer types among those enrolled included breast (N=866), uterine (N=458), colorectal (N=300), prostate (N=296), and head and neck (N=248). Blood specimens were collected for 3,027 (76%). Additional participants without cancer (N=1,299) were also enrolled, and the majority (62%) provided biospecimen samples.
Conclusions: We encourage wide collaboration with investigators across institutions seeking to advance research in cancer survivorship. Procedures are in place to support proposals for use of existing or linked data and for proposals that require participant recontact or analysis of biospecimens.
Impact: The UNC Cancer Survivorship Cohort is a unique resource for cancer survivorship research.
{"title":"The University of North Carolina Cancer Survivorship Cohort: A resource for collaborative survivorship research.","authors":"Chelsea Anderson, Jeannette T Bensen, Emma H Allott, Patricia V Basta, Debra E Irwin, Adrian Gerstel, Laura Farnan, Hung-Jui Tan, Erin E Kent, Tzy-Mey Kuo, Christopher D Baggett, Andrew F Olshan, H Shelton Earp, Hazel B Nichols","doi":"10.1158/1055-9965.EPI-24-0794","DOIUrl":"https://doi.org/10.1158/1055-9965.EPI-24-0794","url":null,"abstract":"<p><strong>Background: </strong>Rapid growth in the number of U.S. cancer survivors drives the need for ongoing research efforts to improve outcomes and experiences after cancer. Here we describe the University of North Carolina (UNC) Cancer Survivorship Cohort, a medical center-based cohort of adults with cancer that integrates medical record-abstracted cancer information, patient-reported outcomes, and biologic specimens.</p><p><strong>Methods: </strong>Participants ages 18+ were recruited from UNC oncology clinics between April 2010 and August 2016. After enrollment, participants completed questionnaires on a range of topics including demographics, health history, health care access and utilization, quality of life, and symptoms. Blood samples and tumor tissue specimens were collected and processed by study staff, and cancer characteristics and other clinical data were abstracted from electronic medical records. Participants consented to recontact for future studies and linkage of their data with other data resources.</p><p><strong>Results: </strong>In total, 3,999 participants with a cancer diagnosis were enrolled in the cohort. The most common cancer types among those enrolled included breast (N=866), uterine (N=458), colorectal (N=300), prostate (N=296), and head and neck (N=248). Blood specimens were collected for 3,027 (76%). Additional participants without cancer (N=1,299) were also enrolled, and the majority (62%) provided biospecimen samples.</p><p><strong>Conclusions: </strong>We encourage wide collaboration with investigators across institutions seeking to advance research in cancer survivorship. Procedures are in place to support proposals for use of existing or linked data and for proposals that require participant recontact or analysis of biospecimens.</p><p><strong>Impact: </strong>The UNC Cancer Survivorship Cohort is a unique resource for cancer survivorship research.</p>","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142139387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-06DOI: 10.1158/1055-9965.EPI-24-0626
Hannah M Cranford, Patricia D Jones, Robert J Wong, Qinran Liu, Erin N Kobetz, Isildinha M Reis, Tulay Koru-Sengul, Paulo S Pinheiro
Background: Previous survival studies on hepatocellular carcinoma (HCC) by etiology are limited to hospital-based series, restricted cohorts, and monolithic etiological categories. We studied population-based survival by seven mutually exclusive HCC etiologic groups-standalone hepatitis-C virus (HCV), hepatitis-B virus (HBV), alcohol-related liver disease (ALD), non-alcoholic fatty liver disease (NAFLD), and dual etiology HCV&HBV, HCV&ALD, and HBV&ALD-accounting for clinical and socio-demographic characteristics.
Methods: All HCC cases diagnosed during 2005-2018 from the Florida Cancer Registry were linked for etiology using statewide discharge and viral hepatitis data. We performed cause-specific survival analysis including Cox regression for the matched 15,616 cases by HCC etiology.
Results: The leading etiology was HCV only (n=4,983; 31.9%); the leading dual etiology was HCV&ALD (n=2,552; 16.3%). Five-year adjusted survival was low, 17.6% overall and <22% across all HCC etiologies; yet ALD-related etiologies [ALD only (14.4%; 95%CI:12.7-16.0), HCV&ALD (10.2%; 95%CI:8.7-11.7), HBV&ALD (8.2%; 95%CI:2.2-14.1)] showed lower survival than non-ALD causes-HCV only, HBV only, and NAFLD only. After adjustment for clinical and socio-demographic covariates, ALD- and HBV&ALD-HCC had 1.20 (95%CI:1.13-1.27) and 1.28 (95%CI:1.06-1.54) times higher risk of death, compared to those with HCV only-HCC.
Conclusions: ALD only and dual etiologies involving ALD show worse prognosis for HCC, compared to viral etiology alone. To increase survival, improved screening and treatment are needed for patients with multiple HCC risk factors.
Impact: Understanding US disparities in HCC survival by etiology can help guide the identification of etiologically specific biomarkers and potential therapeutic targets and inform public health measures.
{"title":"Hepatocellular Carcinoma Etiology Drives Survival Outcomes: A Population-Based Analysis.","authors":"Hannah M Cranford, Patricia D Jones, Robert J Wong, Qinran Liu, Erin N Kobetz, Isildinha M Reis, Tulay Koru-Sengul, Paulo S Pinheiro","doi":"10.1158/1055-9965.EPI-24-0626","DOIUrl":"https://doi.org/10.1158/1055-9965.EPI-24-0626","url":null,"abstract":"<p><strong>Background: </strong>Previous survival studies on hepatocellular carcinoma (HCC) by etiology are limited to hospital-based series, restricted cohorts, and monolithic etiological categories. We studied population-based survival by seven mutually exclusive HCC etiologic groups-standalone hepatitis-C virus (HCV), hepatitis-B virus (HBV), alcohol-related liver disease (ALD), non-alcoholic fatty liver disease (NAFLD), and dual etiology HCV&HBV, HCV&ALD, and HBV&ALD-accounting for clinical and socio-demographic characteristics.</p><p><strong>Methods: </strong>All HCC cases diagnosed during 2005-2018 from the Florida Cancer Registry were linked for etiology using statewide discharge and viral hepatitis data. We performed cause-specific survival analysis including Cox regression for the matched 15,616 cases by HCC etiology.</p><p><strong>Results: </strong>The leading etiology was HCV only (n=4,983; 31.9%); the leading dual etiology was HCV&ALD (n=2,552; 16.3%). Five-year adjusted survival was low, 17.6% overall and <22% across all HCC etiologies; yet ALD-related etiologies [ALD only (14.4%; 95%CI:12.7-16.0), HCV&ALD (10.2%; 95%CI:8.7-11.7), HBV&ALD (8.2%; 95%CI:2.2-14.1)] showed lower survival than non-ALD causes-HCV only, HBV only, and NAFLD only. After adjustment for clinical and socio-demographic covariates, ALD- and HBV&ALD-HCC had 1.20 (95%CI:1.13-1.27) and 1.28 (95%CI:1.06-1.54) times higher risk of death, compared to those with HCV only-HCC.</p><p><strong>Conclusions: </strong>ALD only and dual etiologies involving ALD show worse prognosis for HCC, compared to viral etiology alone. To increase survival, improved screening and treatment are needed for patients with multiple HCC risk factors.</p><p><strong>Impact: </strong>Understanding US disparities in HCC survival by etiology can help guide the identification of etiologically specific biomarkers and potential therapeutic targets and inform public health measures.</p>","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142139386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-03DOI: 10.1158/1055-9965.EPI-24-1031
Elizabeth A Platz
{"title":"An Update from the Editor-in-Chief.","authors":"Elizabeth A Platz","doi":"10.1158/1055-9965.EPI-24-1031","DOIUrl":"https://doi.org/10.1158/1055-9965.EPI-24-1031","url":null,"abstract":"","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":"33 9","pages":"1143-1146"},"PeriodicalIF":3.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142119063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-03DOI: 10.1158/1055-9965.EPI-24-0482
Nidia Rodriguez-Ormaza, Chelsea Anderson, Christopher D Baggett, Paul L Delamater, Melissa A Troester, Stephanie B Wheeler, Alexis C Wardell, Allison M Deal, Andrew Smitherman, Jennifer Mersereau, Valerie L Baker, Hazel B Nichols
Background: Fertility counseling is recommended for adolescent and young adult women facing gonadotoxic cancer therapy. However, fertility care is subspecialized medical care offered at a limited number of institutions, making geographic access a potential barrier to guideline-concordant care. We assessed the relationship between geographic access and receipt of fertility counseling among adolescent and young adult women with cancer.
Methods: Using data from the North Carolina Central Cancer Registry, we identified women diagnosed with lymphoma, gynecologic cancer, or breast cancer at ages 15 to 39 years during 2004 to 2015. Eligible women were invited to complete an online survey on various topics, including fertility counseling. Geographic access was measured, using geocoded addresses, as vehicular travel time from residence to the nearest fertility clinic available at diagnosis. Multivariable regression models were used to examine the association between travel time and receipt of fertility counseling by provider type: health care provider versus fertility specialist.
Results: Analyses included 380 women. The median travel time to a fertility clinic was 31 (IQR: 17-71) minutes. Overall, 75% received fertility counseling from a health care provider and 16% by a fertility specialist. Women who lived ≥30 minutes from a clinic were 13% less likely to receive fertility counseling by a health care provider (prevalence ratio: 0.87; 95% confidence interval, 0.75-1.00) and 49% less likely to receive counseling by a fertility specialist (prevalence ratio: 0.51; 95% confidence interval, 0.28-0.93).
Conclusions: Women who lived further away from fertility clinics were less likely to receive fertility counseling.
Impact: Interventions to improve access to fertility counseling should include strategies to alleviate the burden of geographic access.
{"title":"Geographic Access to Fertility Counseling among Adolescent and Young Adult Women with Cancer in North Carolina.","authors":"Nidia Rodriguez-Ormaza, Chelsea Anderson, Christopher D Baggett, Paul L Delamater, Melissa A Troester, Stephanie B Wheeler, Alexis C Wardell, Allison M Deal, Andrew Smitherman, Jennifer Mersereau, Valerie L Baker, Hazel B Nichols","doi":"10.1158/1055-9965.EPI-24-0482","DOIUrl":"10.1158/1055-9965.EPI-24-0482","url":null,"abstract":"<p><strong>Background: </strong>Fertility counseling is recommended for adolescent and young adult women facing gonadotoxic cancer therapy. However, fertility care is subspecialized medical care offered at a limited number of institutions, making geographic access a potential barrier to guideline-concordant care. We assessed the relationship between geographic access and receipt of fertility counseling among adolescent and young adult women with cancer.</p><p><strong>Methods: </strong>Using data from the North Carolina Central Cancer Registry, we identified women diagnosed with lymphoma, gynecologic cancer, or breast cancer at ages 15 to 39 years during 2004 to 2015. Eligible women were invited to complete an online survey on various topics, including fertility counseling. Geographic access was measured, using geocoded addresses, as vehicular travel time from residence to the nearest fertility clinic available at diagnosis. Multivariable regression models were used to examine the association between travel time and receipt of fertility counseling by provider type: health care provider versus fertility specialist.</p><p><strong>Results: </strong>Analyses included 380 women. The median travel time to a fertility clinic was 31 (IQR: 17-71) minutes. Overall, 75% received fertility counseling from a health care provider and 16% by a fertility specialist. Women who lived ≥30 minutes from a clinic were 13% less likely to receive fertility counseling by a health care provider (prevalence ratio: 0.87; 95% confidence interval, 0.75-1.00) and 49% less likely to receive counseling by a fertility specialist (prevalence ratio: 0.51; 95% confidence interval, 0.28-0.93).</p><p><strong>Conclusions: </strong>Women who lived further away from fertility clinics were less likely to receive fertility counseling.</p><p><strong>Impact: </strong>Interventions to improve access to fertility counseling should include strategies to alleviate the burden of geographic access.</p>","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":" ","pages":"1194-1202"},"PeriodicalIF":3.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11371502/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141562644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-03DOI: 10.1158/1055-9965.EPI-24-0333
Matthew R Trendowski, Donovan Watza, Christine M Lusk, Fulvio Lonardo, Valerie Ratliff, Angela S Wenzlaff, Hirva Mamdani, Christine Neslund-Dudas, Julie L Boerner, Ann G Schwartz, Heather M Gibson
Background: African Americans have higher incidence and mortality from lung cancer than non-Hispanic Whites, but investigations into differences in immune response have been minimal. Therefore, we compared components of the tumor microenvironment among African Americans and non-Hispanic Whites diagnosed with non-small cell lung cancer based on PDL1 or tertiary lymphoid structure (TLS) status to identify differences of translational relevance.
Methods: Using a cohort of 280 patients with non-small cell lung cancer from the Inflammation, Health, Ancestry, and Lung Epidemiology study (non-Hispanic White: n = 155; African American: n = 125), we evaluated PDL1 tumor proportion score (<1% vs. ≥1%) and TLS status (presence/absence), comparing differences within the tumor microenvironment based on immune cell distribution and differential expression of genes.
Results: Tumors from African Americans had a higher proportion of plasma cell signatures within the tumor microenvironment than non-Hispanic Whites. In addition, gene expression patterns in African American PDL1-positive samples suggest that these tumors contained greater numbers of γδ T cells and resting dendritic cells, along with fewer CD8+ T cells after adjusting for age, sex, pack-years, stage, and histology. Investigation of differential expression of B cell/plasma cell-related genes between the two patient populations revealed that two immunoglobulin genes (IGKV2-29 and IGLL5) were associated with decreased mortality risk in African Americans.
Conclusions: In the first known race-stratified analysis of tumor microenvironment components in lung cancer based on PDL1 expression or TLS status, differences within the immune cell composition and transcriptomic signature were identified that may have therapeutic implications.
Impact: Future investigation of racial variation within the tumor microenvironment may help direct the use of immunotherapy.
背景:非裔美国人的肺癌发病率和死亡率均高于非西班牙裔白人,但有关免疫反应差异的研究却很少。因此,我们根据 PD-L1 或三级淋巴结构(TLS)状态比较了非裔美国人和非西班牙裔白人中确诊为非小细胞肺癌(NSCLC)的肿瘤微环境成分,以确定与转化相关的差异:我们利用INHALE研究中的280名NSCLC患者(非西班牙裔白人:n=155;非裔美国人:n=125),对PD-L1肿瘤比例评分进行了评估(结果:非裔美国人的肿瘤比例评分更高,而非裔美国人的肿瘤比例评分更低):与非西班牙裔白人相比,非裔美国人的肿瘤微环境中浆细胞特征的比例更高。此外,非裔美国人 PD-L1 阳性样本的基因表达模式表明,在调整年龄、性别、包年、分期和组织学后,这些肿瘤含有更多的 γδ T 细胞和静息树突状细胞,而 CD8+ T 细胞较少。对两个患者群体的 B 细胞/浆细胞相关基因的差异表达进行调查后发现,两个免疫球蛋白基因(IGKV2-29 和 IGLL5)与非裔美国人的死亡风险降低有关:在首次基于 PD-L1 表达或 TLS 状态对肺癌肿瘤微环境成分进行的已知种族分层分析中,发现了免疫细胞组成和转录组特征的差异,这些差异可能具有治疗意义:影响:未来对肿瘤微环境中种族差异的研究可能有助于指导免疫疗法的使用。
{"title":"Evaluation of the Immune Response within the Tumor Microenvironment in African American and Non-Hispanic White Patients with Non-Small Cell Lung Cancer.","authors":"Matthew R Trendowski, Donovan Watza, Christine M Lusk, Fulvio Lonardo, Valerie Ratliff, Angela S Wenzlaff, Hirva Mamdani, Christine Neslund-Dudas, Julie L Boerner, Ann G Schwartz, Heather M Gibson","doi":"10.1158/1055-9965.EPI-24-0333","DOIUrl":"10.1158/1055-9965.EPI-24-0333","url":null,"abstract":"<p><strong>Background: </strong>African Americans have higher incidence and mortality from lung cancer than non-Hispanic Whites, but investigations into differences in immune response have been minimal. Therefore, we compared components of the tumor microenvironment among African Americans and non-Hispanic Whites diagnosed with non-small cell lung cancer based on PDL1 or tertiary lymphoid structure (TLS) status to identify differences of translational relevance.</p><p><strong>Methods: </strong>Using a cohort of 280 patients with non-small cell lung cancer from the Inflammation, Health, Ancestry, and Lung Epidemiology study (non-Hispanic White: n = 155; African American: n = 125), we evaluated PDL1 tumor proportion score (<1% vs. ≥1%) and TLS status (presence/absence), comparing differences within the tumor microenvironment based on immune cell distribution and differential expression of genes.</p><p><strong>Results: </strong>Tumors from African Americans had a higher proportion of plasma cell signatures within the tumor microenvironment than non-Hispanic Whites. In addition, gene expression patterns in African American PDL1-positive samples suggest that these tumors contained greater numbers of γδ T cells and resting dendritic cells, along with fewer CD8+ T cells after adjusting for age, sex, pack-years, stage, and histology. Investigation of differential expression of B cell/plasma cell-related genes between the two patient populations revealed that two immunoglobulin genes (IGKV2-29 and IGLL5) were associated with decreased mortality risk in African Americans.</p><p><strong>Conclusions: </strong>In the first known race-stratified analysis of tumor microenvironment components in lung cancer based on PDL1 expression or TLS status, differences within the immune cell composition and transcriptomic signature were identified that may have therapeutic implications.</p><p><strong>Impact: </strong>Future investigation of racial variation within the tumor microenvironment may help direct the use of immunotherapy.</p>","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":" ","pages":"1220-1228"},"PeriodicalIF":3.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11371519/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141490965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-03DOI: 10.1158/1055-9965.EPI-24-0096
Zhanmo Ni, Prosenjit Kundu, David F McKean, William Wheeler, Demetrius Albanes, Gabriella Andreotti, Samuel O Antwi, Alan A Arslan, William R Bamlet, Laura E Beane-Freeman, Sonja I Berndt, Paige M Bracci, Paul Brennan, Julie E Buring, Stephen J Chanock, Steven Gallinger, J M Gaziano, Graham G Giles, Edward L Giovannucci, Michael G Goggins, Phyllis J Goodman, Christopher A Haiman, Manal M Hassan, Elizabeth A Holly, Rayjean J Hung, Verena Katzke, Charles Kooperberg, Peter Kraft, Loic LeMarchand, Donghui Li, Marjorie L McCullough, Roger L Milne, Steven C Moore, Rachel E Neale, Ann L Oberg, Alpa V Patel, Ulrike Peters, Kari G Rabe, Harvey A Risch, Xiao-Ou Shu, Karl Smith-Byrne, Kala Visvanathan, Jean Wactawski-Wende, Emily White, Brian M Wolpin, Herbert Yu, Anne Zeleniuch-Jacquotte, Wei Zheng, Jun Zhong, Laufey T Amundadottir, Rachael Z Stolzenberg-Solomon, Alison P Klein
Background: Pancreatic cancer is a leading cause of cancer-related death globally. Risk factors for pancreatic cancer include common genetic variants and potentially heavy alcohol consumption. We assessed if genetic variants modify the association between heavy alcohol consumption and pancreatic cancer risk.
Methods: We conducted a genome-wide interaction analysis of single-nucleotide polymorphisms (SNP) by heavy alcohol consumption (more than three drinks per day) for pancreatic cancer in European ancestry populations from genome-wide association studies. Our analysis included 3,707 cases and 4,167 controls from case-control studies and 1,098 cases and 1,162 controls from cohort studies. Fixed-effect meta-analyses were conducted.
Results: A potential novel region of association on 10p11.22, lead SNP rs7898449 (interaction P value (Pinteraction) = 5.1 × 10-8 in the meta-analysis; Pinteraction = 2.1 × 10-9 in the case-control studies; Pinteraction = 0.91 in the cohort studies), was identified. An SNP correlated with this lead SNP is an expression quantitative trait locus for the neuropilin 1 gene. Of the 17 genomic regions with genome-wide significant evidence of association with pancreatic cancer in prior studies, we observed suggestive evidence that heavy alcohol consumption modified the association for one SNP near LINC00673, rs11655237 on 17q25.1 (Pinteraction = 0.004).
Conclusions: We identified a novel genomic region that may be associated with pancreatic cancer risk in conjunction with heavy alcohol consumption located near an expression quantitative trait locus for neuropilin 1, a protein that plays an important role in the development and progression of pancreatic cancer.
Impact: This work can provide insights into the etiology of pancreatic cancer, particularly in heavy drinkers.
{"title":"Genome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk.","authors":"Zhanmo Ni, Prosenjit Kundu, David F McKean, William Wheeler, Demetrius Albanes, Gabriella Andreotti, Samuel O Antwi, Alan A Arslan, William R Bamlet, Laura E Beane-Freeman, Sonja I Berndt, Paige M Bracci, Paul Brennan, Julie E Buring, Stephen J Chanock, Steven Gallinger, J M Gaziano, Graham G Giles, Edward L Giovannucci, Michael G Goggins, Phyllis J Goodman, Christopher A Haiman, Manal M Hassan, Elizabeth A Holly, Rayjean J Hung, Verena Katzke, Charles Kooperberg, Peter Kraft, Loic LeMarchand, Donghui Li, Marjorie L McCullough, Roger L Milne, Steven C Moore, Rachel E Neale, Ann L Oberg, Alpa V Patel, Ulrike Peters, Kari G Rabe, Harvey A Risch, Xiao-Ou Shu, Karl Smith-Byrne, Kala Visvanathan, Jean Wactawski-Wende, Emily White, Brian M Wolpin, Herbert Yu, Anne Zeleniuch-Jacquotte, Wei Zheng, Jun Zhong, Laufey T Amundadottir, Rachael Z Stolzenberg-Solomon, Alison P Klein","doi":"10.1158/1055-9965.EPI-24-0096","DOIUrl":"10.1158/1055-9965.EPI-24-0096","url":null,"abstract":"<p><strong>Background: </strong>Pancreatic cancer is a leading cause of cancer-related death globally. Risk factors for pancreatic cancer include common genetic variants and potentially heavy alcohol consumption. We assessed if genetic variants modify the association between heavy alcohol consumption and pancreatic cancer risk.</p><p><strong>Methods: </strong>We conducted a genome-wide interaction analysis of single-nucleotide polymorphisms (SNP) by heavy alcohol consumption (more than three drinks per day) for pancreatic cancer in European ancestry populations from genome-wide association studies. Our analysis included 3,707 cases and 4,167 controls from case-control studies and 1,098 cases and 1,162 controls from cohort studies. Fixed-effect meta-analyses were conducted.</p><p><strong>Results: </strong>A potential novel region of association on 10p11.22, lead SNP rs7898449 (interaction P value (Pinteraction) = 5.1 × 10-8 in the meta-analysis; Pinteraction = 2.1 × 10-9 in the case-control studies; Pinteraction = 0.91 in the cohort studies), was identified. An SNP correlated with this lead SNP is an expression quantitative trait locus for the neuropilin 1 gene. Of the 17 genomic regions with genome-wide significant evidence of association with pancreatic cancer in prior studies, we observed suggestive evidence that heavy alcohol consumption modified the association for one SNP near LINC00673, rs11655237 on 17q25.1 (Pinteraction = 0.004).</p><p><strong>Conclusions: </strong>We identified a novel genomic region that may be associated with pancreatic cancer risk in conjunction with heavy alcohol consumption located near an expression quantitative trait locus for neuropilin 1, a protein that plays an important role in the development and progression of pancreatic cancer.</p><p><strong>Impact: </strong>This work can provide insights into the etiology of pancreatic cancer, particularly in heavy drinkers.</p>","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":" ","pages":"1229-1239"},"PeriodicalIF":4.3,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141310127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-03DOI: 10.1158/1055-9965.EPI-24-0189
Catherine Metayer, Logan G Spector, Michael E Scheurer, Soyoung Jeon, Rodney J Scott, Masatoshi Takagi, Jacqueline Clavel, Atsushi Manabe, Xiaomei Ma, Elleni M Hailu, Philip J Lupo, Kevin Y Urayama, Audrey Bonaventure, Motohiro Kato, Aline Meirhaeghe, Charleston W K Chiang, Libby M Morimoto, Joseph L Wiemels
Background: Prenatal folate supplementation has been consistently associated with a reduced risk of childhood acute lymphoblastic leukemia (ALL). Previous germline genetic studies examining the one carbon (folate) metabolism pathway were limited in sample size, scope, and population diversity and led to inconclusive results.
Methods: We evaluated whether ∼2,900 single-nucleotide polymorphisms (SNP) within 46 candidate genes involved in the folate metabolism pathway influence the risk of childhood ALL, using genome-wide data from nine case-control studies in the Childhood Cancer and Leukemia International Consortium (n = 9,058 cases including 4,510 children of European ancestry, 3,018 Latinx, and 1,406 Asians, and 92,364 controls). Each study followed a standardized protocol for quality control and imputation of genome-wide data and summary statistics were meta-analyzed for all children combined and by major ancestry group using METAL software.
Results: None of the selected SNPs reached statistical significance, overall and for major ancestry groups (using adjusted Bonferroni P-value of 5 × 10-6 and less-stringent P-value of 3.5 × 10-5 accounting for the number of "independent" SNPs). None of the 10 top (nonsignificant) SNPs and corresponding genes overlapped across ancestry groups.
Conclusions: This large meta-analysis of original data does not reveal associations between many common genetic variants in the folate metabolism pathway and childhood ALL in various ancestry groups.
Impact: Genetic variants in the folate pathway alone do not appear to substantially influence childhood acute lymphoblastic leukemia risk. Other mechanisms such as gene-folate interaction, DNA methylation, or maternal genetic effects may explain the observed associations with self-reported prenatal folate intake.
背景:产前补充叶酸一直与降低儿童淋巴细胞白血病(ALL)风险相关。以前对一碳(叶酸)代谢途径进行的种系遗传学研究在样本量、范围和人群多样性方面都很有限,结果也不确定:我们利用儿童癌症和白血病国际联盟(Childhood Cancer and Leukemia International Consortium)中九项病例对照研究的全基因组数据(n=9,058 例病例,包括 4,510 名欧洲裔儿童、3,018 名拉丁裔儿童、1,406 名亚洲裔儿童,以及 92,364 例对照),评估了涉及叶酸代谢途径的 46 个候选基因中的约 2,900 个单核苷酸多态性(SNPs)是否会影响儿童 ALL 的发病风险。每项研究都遵循标准化方案对全基因组数据进行质量控制和估算,并使用 METAL 软件对所有儿童和主要血统群体的汇总统计数据进行了元分析:所选 SNP 均未达到统计学显著性,无论是在总体上还是在主要祖先群体中(使用调整后的 5x10-6 Bonferroni p 值和考虑到 "独立 "SNP 数量的较宽松 p 值 3.5x10-5)。10 个顶级(非显著)SNPs 和相应基因在不同祖先群体中均无重叠:这项对原始数据的大型荟萃分析并未揭示叶酸代谢途径中的许多常见遗传变异与不同血统群体中的儿童 ALL 之间的关联:影响:仅叶酸代谢途径中的遗传变异似乎不会对儿童 ALL 风险产生重大影响。其他机制,如基因与叶酸的相互作用、DNA甲基化或母体遗传效应,可能解释了所观察到的与自我报告的产前叶酸摄入量之间的关联。
{"title":"Folate Metabolism and Risk of Childhood Acute Lymphoblastic Leukemia: A Genetic Pathway Analysis from the Childhood Cancer and Leukemia International Consortium.","authors":"Catherine Metayer, Logan G Spector, Michael E Scheurer, Soyoung Jeon, Rodney J Scott, Masatoshi Takagi, Jacqueline Clavel, Atsushi Manabe, Xiaomei Ma, Elleni M Hailu, Philip J Lupo, Kevin Y Urayama, Audrey Bonaventure, Motohiro Kato, Aline Meirhaeghe, Charleston W K Chiang, Libby M Morimoto, Joseph L Wiemels","doi":"10.1158/1055-9965.EPI-24-0189","DOIUrl":"10.1158/1055-9965.EPI-24-0189","url":null,"abstract":"<p><strong>Background: </strong>Prenatal folate supplementation has been consistently associated with a reduced risk of childhood acute lymphoblastic leukemia (ALL). Previous germline genetic studies examining the one carbon (folate) metabolism pathway were limited in sample size, scope, and population diversity and led to inconclusive results.</p><p><strong>Methods: </strong>We evaluated whether ∼2,900 single-nucleotide polymorphisms (SNP) within 46 candidate genes involved in the folate metabolism pathway influence the risk of childhood ALL, using genome-wide data from nine case-control studies in the Childhood Cancer and Leukemia International Consortium (n = 9,058 cases including 4,510 children of European ancestry, 3,018 Latinx, and 1,406 Asians, and 92,364 controls). Each study followed a standardized protocol for quality control and imputation of genome-wide data and summary statistics were meta-analyzed for all children combined and by major ancestry group using METAL software.</p><p><strong>Results: </strong>None of the selected SNPs reached statistical significance, overall and for major ancestry groups (using adjusted Bonferroni P-value of 5 × 10-6 and less-stringent P-value of 3.5 × 10-5 accounting for the number of \"independent\" SNPs). None of the 10 top (nonsignificant) SNPs and corresponding genes overlapped across ancestry groups.</p><p><strong>Conclusions: </strong>This large meta-analysis of original data does not reveal associations between many common genetic variants in the folate metabolism pathway and childhood ALL in various ancestry groups.</p><p><strong>Impact: </strong>Genetic variants in the folate pathway alone do not appear to substantially influence childhood acute lymphoblastic leukemia risk. Other mechanisms such as gene-folate interaction, DNA methylation, or maternal genetic effects may explain the observed associations with self-reported prenatal folate intake.</p>","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":" ","pages":"1248-1252"},"PeriodicalIF":4.3,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11369612/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141431486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}