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Zhao X, Yang M, Fan J, Wang M, Wang Y, Qin N, Zhu M, Jiang Y, Gorlova OY, Gorlov IP, Albanes D, Lam S, Tardón A, Chen C, Goodman GE, Bojesen SE, Landi MT, Johansson M, Risch A, Wichmann HE, Bickeböller H, Christiani DC, Rennert G, Arnold SM, Brennan P, Field JK, Shete S, Le Marchand L, Liu G, Hung RJ, Andrew AS, Kiemeney LA, Zienolddiny S, Grankvist K, Johansson M, Caporaso NE, Woll PJ, Lazarus P, Schabath MB, Aldrich MC, Patel AV, Davies MPA, Ma H, Jin G, Hu Z, Amos CI, Shen H, Dai J. Identification of genetically predicted DNA methylation markers associated with non-small cell lung cancer risk among 34,964 cases and 448,579 controls. Cancer 2024; 130:913-926. [PMID: 38055287 DOI: 10.1002/cncr.35130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 05/05/2023] [Accepted: 05/22/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Although the associations between genetic variations and lung cancer risk have been explored, the epigenetic consequences of DNA methylation in lung cancer development are largely unknown. Here, the genetically predicted DNA methylation markers associated with non-small cell lung cancer (NSCLC) risk by a two-stage case-control design were investigated. METHODS The genetic prediction models for methylation levels based on genetic and methylation data of 1595 subjects from the Framingham Heart Study were established. The prediction models were applied to a fixed-effect meta-analysis of screening data sets with 27,120 NSCLC cases and 27,355 controls to identify the methylation markers, which were then replicated in independent data sets with 7844 lung cancer cases and 421,224 controls. Also performed was a multi-omics functional annotation for the identified CpGs by integrating genomics, epigenomics, and transcriptomics and investigation of the potential regulation pathways. RESULTS Of the 29,894 CpG sites passing the quality control, 39 CpGs associated with NSCLC risk (Bonferroni-corrected p ≤ 1.67 × 10-6 ) were originally identified. Of these, 16 CpGs remained significant in the validation stage (Bonferroni-corrected p ≤ 1.28 × 10-3 ), including four novel CpGs. Multi-omics functional annotation showed nine of 16 CpGs were potentially functional biomarkers for NSCLC risk. Thirty-five genes within a 1-Mb window of 12 CpGs that might be involved in regulatory pathways of NSCLC risk were identified. CONCLUSIONS Sixteen promising DNA methylation markers associated with NSCLC were identified. Changes of the methylation level at these CpGs might influence the development of NSCLC by regulating the expression of genes nearby. PLAIN LANGUAGE SUMMARY The epigenetic consequences of DNA methylation in lung cancer development are still largely unknown. This study used summary data of large-scale genome-wide association studies to investigate the associations between genetically predicted levels of methylation biomarkers and non-small cell lung cancer risk at the first time. This study looked at how well larotrectinib worked in adult patients with sarcomas caused by TRK fusion proteins. These findings will provide a unique insight into the epigenetic susceptibility mechanisms of lung cancer.
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Affiliation(s)
- Xiaoyu Zhao
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Statistics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Meiqi Yang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jingyi Fan
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China
- Health Management Center, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - Mei Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yifan Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Na Qin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China
- Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Yue Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China
| | - Olga Y Gorlova
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
- Department of Medicine, Epidemiology Section, Institute for Clinical and Translational Research, Baylor Medical College, Houston, Texas, USA
| | - Ivan P Gorlov
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
- Department of Medicine, Epidemiology Section, Institute for Clinical and Translational Research, Baylor Medical College, Houston, Texas, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Stephen Lam
- Department of Integrative Oncology, British Columbia Cancer Agency, Vancouver, British Columbia, Canada
| | - Adonina Tardón
- Department of Public Health IUOPA, University of Oviedo, ISPA and CIBERESP, Oviedo, Spain
| | - Chu Chen
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Gary E Goodman
- Public Health Sciences Division, Swedish Cancer Institute, Seattle, Washington, USA
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Mattias Johansson
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - Angela Risch
- Department of Biosciences, Allergy-Cancer-BioNano Research Centre, University of Salzburg, Salzburg, Austria
- Division of Epigenomics and Cancer Risk Factors, DKFZ-German Cancer Research Center, Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), German Center for Lung Research (DZL), Heidelberg, Germany
| | - H-Erich Wichmann
- Institute of Epidemiology, Helmholtz Center Munich, Neuherberg, Germany
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center Goettingen, Goettingen, Germany
| | - David C Christiani
- Departments of Environmental Health and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Gad Rennert
- Technion Faculty of Medicine, Carmel Medical Center, Haifa, Israel
| | - Susanne M Arnold
- Markey Cancer Center, University of Kentucky, Lexington, Kentucky, USA
| | - Paul Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - John K Field
- Molecular and Clinical Cancer Medicine, Roy Castle Lung Cancer Research Programme, The University of Liverpool Institute of Translational Medicine, Liverpool, UK
| | - Sanjay Shete
- Department of Epidemiology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Rayjean J Hung
- Prosseman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Angeline S Andrew
- Department of Neurology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Lambertus A Kiemeney
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, the Netherlands
| | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umea, Sweden
| | | | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Penella J Woll
- Academic Unit of Clinical Oncology, University of Sheffield, Sheffield, UK
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Melinda C Aldrich
- Department of Medicine (Division of Genetic Medicine), Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Alpa V Patel
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, USA
| | - Michael P A Davies
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Hongxia Ma
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China
| | - Guangfu Jin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China
| | - Christopher I Amos
- Baylor College of Medicine, Institute for Clinical and Translational Research, Houston, Texas, USA
| | - Hongbing Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China
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Li Y, Xiao X, Li J, Han Y, Cheng C, Fernandes GF, Slewitzke SE, Rosenberg SM, Zhu M, Byun J, Bossé Y, McKay JD, Albanes D, Lam S, Tardon A, Chen C, Bojesen SE, Landi MT, Johansson M, Risch A, Bickeböller H, Wichmann HE, Christiani DC, Rennert G, Arnold SM, Goodman GE, Field JK, Davies MP, Shete S, Marchand LL, Liu G, Hung RJ, Andrew AS, Kiemeney LA, Sun R, Zienolddiny S, Grankvist K, Johansson M, Caporaso NE, Cox A, Hong YC, Lazarus P, Schabath MB, Aldrich MC, Schwartz AG, Gorlov I, Purrington KS, Yang P, Liu Y, Bailey-Wilson JE, Pinney SM, Mandal D, Willey JC, Gaba C, Brennan P, Xia J, Shen H, Amos CI. Lung Cancer in Ever- and Never-Smokers: Findings from Multi-Population GWAS Studies. Cancer Epidemiol Biomarkers Prev 2024; 33:389-399. [PMID: 38180474 PMCID: PMC10905670 DOI: 10.1158/1055-9965.epi-23-0613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/03/2023] [Accepted: 01/03/2024] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Clinical, molecular, and genetic epidemiology studies displayed remarkable differences between ever- and never-smoking lung cancer. METHODS We conducted a stratified multi-population (European, East Asian, and African descent) association study on 44,823 ever-smokers and 20,074 never-smokers to identify novel variants that were missed in the non-stratified analysis. Functional analysis including expression quantitative trait loci (eQTL) colocalization and DNA damage assays, and annotation studies were conducted to evaluate the functional roles of the variants. We further evaluated the impact of smoking quantity on lung cancer risk for the variants associated with ever-smoking lung cancer. RESULTS Five novel independent loci, GABRA4, intergenic region 12q24.33, LRRC4C, LINC01088, and LCNL1 were identified with the association at two or three populations (P < 5 × 10-8). Further functional analysis provided multiple lines of evidence suggesting the variants affect lung cancer risk through excessive DNA damage (GABRA4) or cis-regulation of gene expression (LCNL1). The risk of variants from 12 independent regions, including the well-known CHRNA5, associated with ever-smoking lung cancer was evaluated for never-smokers, light-smokers (packyear ≤ 20), and moderate-to-heavy-smokers (packyear > 20). Different risk patterns were observed for the variants among the different groups by smoking behavior. CONCLUSIONS We identified novel variants associated with lung cancer in only ever- or never-smoking groups that were missed by prior main-effect association studies. IMPACT Our study highlights the genetic heterogeneity between ever- and never-smoking lung cancer and provides etiologic insights into the complicated genetic architecture of this deadly cancer.
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Affiliation(s)
- Yafang Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Xiangjun Xiao
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
| | - Jianrong Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
| | - Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Chao Cheng
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Gail F. Fernandes
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Shannon E. Slewitzke
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Susan M. Rosenberg
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Meng Zhu
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, P.R. China
| | - Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec, Department of Molecular Medicine, Laval University, Quebec City, Canada
| | - James D. McKay
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Stephen Lam
- Department of Integrative Oncology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Adonina Tardon
- Public Health Department, University of Oviedo, ISPA and CIBERESP, Asturias, Spain
| | - Chu Chen
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Stig E. Bojesen
- Department of Clinical Biochemistry, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maria T. Landi
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Angela Risch
- Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, Germany
- University of Salzburg and Cancer Cluster Salzburg, Salzburg, Austria
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
| | | | - David C. Christiani
- Departments of Environmental Health and Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | | | | | - John K. Field
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Michael P.A. Davies
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Sanjay Shete
- Department of Biostatistics, The University of Texas, MD Anderson Cancer Center, Houston, Texas
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Geoffrey Liu
- University Health Network- The Princess Margaret Cancer Centre, Toronto, California
| | - Rayjean J. Hung
- Luenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Canada
| | - Angeline S. Andrew
- Departments of Epidemiology and Community and Family Medicine, Dartmouth College, Hanover, New Hampshire
| | | | - Ryan Sun
- Department of Biostatistics, The University of Texas, MD Anderson Cancer Center, Houston, Texas
| | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Angela Cox
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of South Korea
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Matthew B. Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Melinda C. Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ann G. Schwartz
- Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan
- Karmanos Cancer Institute, Detroit, Michigan
| | - Ivan Gorlov
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Kristen S. Purrington
- Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan
- Karmanos Cancer Institute, Detroit, Michigan
| | - Ping Yang
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Yanhong Liu
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | | | - Susan M. Pinney
- University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Diptasri Mandal
- Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - James C. Willey
- College of Medicine and Life Sciences, University of Toledo, Toledo, Ohio
| | - Colette Gaba
- The University of Toledo College of Medicine, Toledo, Ohio
| | - Paul Brennan
- Institut universitaire de cardiologie et de pneumologie de Québec, Department of Molecular Medicine, Laval University, Quebec City, Canada
| | - Jun Xia
- Creighton University School of Medicine, Omaha, Nebraska
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, P.R. China
| | - Christopher I. Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
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3
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Du M, Xin J, Zheng R, Yuan Q, Wang Z, Liu H, Liu H, Cai G, Albanes D, Lam S, Tardon A, Chen C, Bojesen SE, Landi MT, Johansson M, Risch A, Bickeböller H, Wichmann HE, Rennert G, Arnold S, Brennan P, Field JK, Shete SS, Le Marchand L, Liu G, Andrew AS, Kiemeney LA, Zienolddiny S, Grankvist K, Johansson M, Caporaso NE, Cox A, Hong YC, Yuan JM, Schabath MB, Aldrich MC, Wang M, Shen H, Chen F, Zhang Z, Hung RJ, Amos CI, Wei Q, Lazarus P, Christiani DC. CYP2A6 Activity and Cigarette Consumption Interact in Smoking-Related Lung Cancer Susceptibility. Cancer Res 2024; 84:616-625. [PMID: 38117513 DOI: 10.1158/0008-5472.can-23-0900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 07/28/2023] [Accepted: 12/14/2023] [Indexed: 12/21/2023]
Abstract
Cigarette smoke, containing both nicotine and carcinogens, causes lung cancer. However, not all smokers develop lung cancer, highlighting the importance of the interaction between host susceptibility and environmental exposure in tumorigenesis. Here, we aimed to delineate the interaction between metabolizing ability of tobacco carcinogens and smoking intensity in mediating genetic susceptibility to smoking-related lung tumorigenesis. Single-variant and gene-based associations of 43 tobacco carcinogen-metabolizing genes with lung cancer were analyzed using summary statistics and individual-level genetic data, followed by causal inference of Mendelian randomization, mediation analysis, and structural equation modeling. Cigarette smoke-exposed cell models were used to detect gene expression patterns in relation to specific alleles. Data from the International Lung Cancer Consortium (29,266 cases and 56,450 controls) and UK Biobank (2,155 cases and 376,329 controls) indicated that the genetic variant rs56113850 C>T located in intron 4 of CYP2A6 was significantly associated with decreased lung cancer risk among smokers (OR = 0.88, 95% confidence interval = 0.85-0.91, P = 2.18 × 10-16), which might interact (Pinteraction = 0.028) with and partially be mediated (ORindirect = 0.987) by smoking status. Smoking intensity accounted for 82.3% of the effect of CYP2A6 activity on lung cancer risk but entirely mediated the genetic effect of rs56113850. Mechanistically, the rs56113850 T allele rescued the downregulation of CYP2A6 caused by cigarette smoke exposure, potentially through preferential recruitment of transcription factor helicase-like transcription factor. Together, this study provides additional insights into the interplay between host susceptibility and carcinogen exposure in smoking-related lung tumorigenesis. SIGNIFICANCE The causal pathway connecting CYP2A6 genetic variability and activity, cigarette consumption, and lung cancer susceptibility in smokers highlights the need for behavior modification interventions based on host susceptibility for cancer prevention.
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Affiliation(s)
- Mulong Du
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Junyi Xin
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Rui Zheng
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Qianyu Yuan
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Zhihui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Hongliang Liu
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Hanting Liu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Guoshuai Cai
- Department of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, NCI, US NIH, Bethesda, Maryland
| | - Stephen Lam
- British Columbia Cancer Agency, Vancouver, British Columbia, Canada
| | - Adonina Tardon
- Faculty of Medicine, University of Oviedo, ISPA and CIBERESP, Oviedo, Spain
| | - Chu Chen
- Program in Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen, Denmark
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, NCI, US NIH, Bethesda, Maryland
| | - Mattias Johansson
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Angela Risch
- University of Salzburg and Cancer Cluster Salzburg, Salzburg, Austria
- Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, Germany
- German Center for Lung Research (DZL), Heidelberg, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg August University Göttingen, Göttingen, Germany
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilian University, Munich, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Statistics and Epidemiology, Technical University of Munich, Munich, Germany
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Susanne Arnold
- Markey Cancer Center, University of Kentucky, Lexington, Kentucky
| | - Paul Brennan
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - John K Field
- Department of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - Sanjay S Shete
- Department of Epidemiology, Division of Cancer Prevention and Population Science, The University of Texas, MD Anderson Cancer Center, Houston, Texas
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Geoffrey Liu
- Princess Margaret Cancer Center, University of Toronto, Toronto, Ontario, Canada
| | - Angeline S Andrew
- Norris Cotton Cancer Center, Geisel School of Medicine, Hanover, New Hampshire
| | | | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, NCI, US NIH, Bethesda, Maryland
| | - Angela Cox
- Department of Oncology, University of Sheffield, Sheffield, United Kingdom
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of South Korea
| | - Jian-Min Yuan
- UPMC Hillman Cancer Center and Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Melinda C Aldrich
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Meilin Wang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Feng Chen
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Zhengdong Zhang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Rayjean J Hung
- Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, University of Toronto, Toronto, Ontario, Canada
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor Medical College, Houston, Texas
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
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4
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Wang X, Zhang Z, Ding Y, Chen T, Mucci L, Albanes D, Landi MT, Caporaso NE, Lam S, Tardon A, Chen C, Bojesen SE, Johansson M, Risch A, Bickeböller H, Wichmann HE, Rennert G, Arnold S, Brennan P, McKay JD, Field JK, Shete SS, Le Marchand L, Liu G, Andrew AS, Kiemeney LA, Zienolddiny-Narui S, Behndig A, Johansson M, Cox A, Lazarus P, Schabath MB, Aldrich MC, Hung RJ, Amos CI, Lin X, Christiani DC. Impact of individual level uncertainty of lung cancer polygenic risk score (PRS) on risk stratification. Genome Med 2024; 16:22. [PMID: 38317189 PMCID: PMC10840262 DOI: 10.1186/s13073-024-01298-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 01/26/2024] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Although polygenic risk score (PRS) has emerged as a promising tool for predicting cancer risk from genome-wide association studies (GWAS), the individual-level accuracy of lung cancer PRS and the extent to which its impact on subsequent clinical applications remains largely unexplored. METHODS Lung cancer PRSs and confidence/credible interval (CI) were constructed using two statistical approaches for each individual: (1) the weighted sum of 16 GWAS-derived significant SNP loci and the CI through the bootstrapping method (PRS-16-CV) and (2) LDpred2 and the CI through posteriors sampling (PRS-Bayes), among 17,166 lung cancer cases and 12,894 controls with European ancestry from the International Lung Cancer Consortium. Individuals were classified into different genetic risk subgroups based on the relationship between their own PRS mean/PRS CI and the population level threshold. RESULTS Considerable variances in PRS point estimates at the individual level were observed for both methods, with an average standard deviation (s.d.) of 0.12 for PRS-16-CV and a much larger s.d. of 0.88 for PRS-Bayes. Using PRS-16-CV, only 25.0% of individuals with PRS point estimates in the lowest decile of PRS and 16.8% in the highest decile have their entire 95% CI fully contained in the lowest and highest decile, respectively, while PRS-Bayes was unable to find any eligible individuals. Only 19% of the individuals were concordantly identified as having high genetic risk (> 90th percentile) using the two PRS estimators. An increased relative risk of lung cancer comparing the highest PRS percentile to the lowest was observed when taking the CI into account (OR = 2.73, 95% CI: 2.12-3.50, P-value = 4.13 × 10-15) compared to using PRS-16-CV mean (OR = 2.23, 95% CI: 1.99-2.49, P-value = 5.70 × 10-46). Improved risk prediction performance with higher AUC was consistently observed in individuals identified by PRS-16-CV CI, and the best performance was achieved by incorporating age, gender, and detailed smoking pack-years (AUC: 0.73, 95% CI = 0.72-0.74). CONCLUSIONS Lung cancer PRS estimates using different methods have modest correlations at the individual level, highlighting the importance of considering individual-level uncertainty when evaluating the practical utility of PRS.
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Affiliation(s)
- Xinan Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, 667 Huntington Ave, Boston, MA, 02115, USA
| | - Ziwei Zhang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Yi Ding
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, USA
| | - Tony Chen
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Lorelei Mucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen Lam
- Department of Medicine, British Columbia Cancer Agency, University of British Columbia, Vancouver, Canada
| | - Adonina Tardon
- Faculty of Medicine, University of Oviedo and CIBERESP, Oviedo, Spain
| | - Chu Chen
- Department of Epidemiology, University of Washington School of Public Health, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Angela Risch
- Department of Biosciences and Medical Biology, Allergy-Cancer-BioNano Research Centre, University of Salzburg, and Cancer Cluster Salzburg, Salzburg, Austria
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg August University Göttingen, Göttingen, Germany
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians University, Munich, Germany
| | - Gadi Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Carmel, Haifa, Israel
| | - Susanne Arnold
- Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - James D McKay
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - John K Field
- Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Sanjay S Shete
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Angeline S Andrew
- Department of Epidemiology, Department of Community and Family Medicine, Dartmouth Geisel School of Medicine, Hanover, NH, USA
| | - Lambertus A Kiemeney
- Department for Health Evidence, Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Annelie Behndig
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | - Angie Cox
- Department of Oncology and Metabolism, The Medical School, University of Sheffield, Sheffield, UK
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, WA, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Melinda C Aldrich
- Department of Medicine, Department of Biomedical Informatics and Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Department of Medicine, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, 667 Huntington Ave, Boston, MA, 02115, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
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5
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Amorrortu R, Garcia M, Zhao Y, El Naqa I, Balagurunathan Y, Chen DT, Thieu T, Schabath MB, Rollison DE. Overview of approaches to estimate real-world disease progression in lung cancer. JNCI Cancer Spectr 2023; 7:pkad074. [PMID: 37738580 PMCID: PMC10637832 DOI: 10.1093/jncics/pkad074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 08/28/2023] [Accepted: 09/18/2023] [Indexed: 09/24/2023] Open
Abstract
BACKGROUND Randomized clinical trials of novel treatments for solid tumors normally measure disease progression using the Response Evaluation Criteria in Solid Tumors. However, novel, scalable approaches to estimate disease progression using real-world data are needed to advance cancer outcomes research. The purpose of this narrative review is to summarize examples from the existing literature on approaches to estimate real-world disease progression and their relative strengths and limitations, using lung cancer as a case study. METHODS A narrative literature review was conducted in PubMed to identify articles that used approaches to estimate real-world disease progression in lung cancer patients. Data abstracted included data source, approach used to estimate real-world progression, and comparison to a selected gold standard (if applicable). RESULTS A total of 40 articles were identified from 2008 to 2022. Five approaches to estimate real-world disease progression were identified including manual abstraction of medical records, natural language processing of clinical notes and/or radiology reports, treatment-based algorithms, changes in tumor volume, and delta radiomics-based approaches. The accuracy of these progression approaches were assessed using different methods, including correlations between real-world endpoints and overall survival for manual abstraction (Spearman rank ρ = 0.61-0.84) and area under the curve for natural language processing approaches (area under the curve = 0.86-0.96). CONCLUSIONS Real-world disease progression has been measured in several observational studies of lung cancer. However, comparing the accuracy of methods across studies is challenging, in part, because of the lack of a gold standard and the different methods used to evaluate accuracy. Concerted efforts are needed to define a gold standard and quality metrics for real-world data.
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Affiliation(s)
| | - Melany Garcia
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Yayi Zhao
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Issam El Naqa
- Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA
| | | | - Dung-Tsa Chen
- Department of Biostatistics and Bionformatics, Moffitt Cancer Center, Tampa, FL, USA
| | - Thanh Thieu
- Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Dana E Rollison
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
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6
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Boehmer U, Chang S, Sanchez NF, Jesdale BM, Schabath MB. Cancer survivors' health behaviors and outcomes: a population-based study of sexual and gender minorities. J Natl Cancer Inst 2023; 115:1164-1170. [PMID: 37421397 PMCID: PMC10560602 DOI: 10.1093/jnci/djad131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/15/2023] [Accepted: 06/29/2023] [Indexed: 07/10/2023] Open
Abstract
BACKGROUND Most case-control studies compare cancer survivors with general population controls without considering sexual orientation or gender identity. This case-control analysis compared health risk behaviors and health outcomes among sexual and gender minority cancer survivors to those of matched sexual and gender minority participants without cancer (controls). METHODS Using data from the 2014-2021 Behavioral Risk Factor Surveillance System, a population-based sample of 4507 cancer survivors who self-identified as transgender, gay men, bisexual men, lesbian women, or bisexual women were 1:1 propensity score matched, using age at survey, race and ethnicity, marital status, education, access to health care, and US census region. Within each sexual and gender minority group, behaviors and outcomes were compared between survivors and participants without cancer, and survivors' odds ratios and 95% confidence intervals calculated. RESULTS Gay male survivors had higher odds of depression, poor mental health, limited usual activities, difficulty concentrating, and fair or poor health. Few differences were observed between bisexual male survivors and participants without cancer. Compared with controls, lesbian female survivors had greater odds of overweight-obese status, depression, poor physical health, and fair or poor health. Bisexual female survivors had the highest rates of current smoking, depression, poor mental health, and difficulty concentrating across all sexual and gender minority groups. Statistically significantly different from transgender controls, transgender survivors had greater odds of heavy alcohol use, physical inactivity, and fair or poor health. CONCLUSIONS This analysis revealed an urgent need to address the high prevalence of engaging in multiple health risk behaviors and not following guidelines to avoid second cancers, additional adverse outcomes, and cancer recurrences among sexual and gender minority cancer survivors.
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Affiliation(s)
- Ulrike Boehmer
- Boston University School of Public Health, Boston, MA, USA
| | - Shine Chang
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Bill M Jesdale
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
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7
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Rollison DE, Gonzalez BD, Turner K, Jim HSL, Zhao Y, Amorrortu RP, Howard R, Ghia KM, Ngo B, Reisman P, Moore C, Perkins R, Keenan RJ, Sallman DA, Naso CM, Robinson EJ, Vadaparampil ST, Simmons VN, Schabath MB, Gilbert SM. Examining disparities in large-scale patient-reported data capture using digital tools among cancer patients at clinical intake. Cancer Med 2023; 12:19033-19046. [PMID: 37596773 PMCID: PMC10557830 DOI: 10.1002/cam4.6459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 07/19/2023] [Accepted: 08/06/2023] [Indexed: 08/20/2023] Open
Abstract
BACKGROUND Patient-reported data can improve quality of healthcare delivery and patient outcomes. Moffitt Cancer Center ("Moffitt") administers the Electronic Patient Questionnaire (EPQ) to collect data on demographics, including sexual orientation and gender identity (SOGI), medical history, cancer risk factors, and quality of life. Here we investigated differences in EPQ completion by demographic and cancer characteristics. METHODS An analysis including 146,142 new adult patients at Moffitt in 2009-2020 was conducted using scheduling, EPQ and cancer registry data. EPQ completion was described by calendar year and demographics. Logistic regression was used to estimate associations between demographic/cancer characteristics and EPQ completion. More recently collected information on SOGI were described. RESULTS Patient portal usage (81%) and EPQ completion rates (79%) were consistently high since 2014. Among patients in the cancer registry, females were more likely to complete the EPQ than males (odds ratio [OR] = 1.17, 95% confidence interval [CI] = 1.14-1.20). Patients ages 18-64 years were more likely to complete the EPQ than patients aged ≥65. Lower EPQ completion rates were observed among Black or African American patients (OR = 0.59, 95% CI = 0.56-0.63) as compared to Whites and among patients whose preferred language was Spanish (OR = 0.40, 95% CI = 0.36-0.44) or another language as compared to English. Furthermore, patients with localized (OR = 1.16, 95% CI = 1.12-1.19) or regional (OR = 1.16, 95% CI = 1.12-1.20) cancer were more likely to complete the EPQ compared to those with metastatic disease. Less than 3% of patients self-identified as being lesbian, gay, or bisexual and <0.1% self-identified as transgender, genderqueer, or other. CONCLUSIONS EPQ completion rates differed across demographics highlighting opportunities for targeted process improvement. Healthcare organizations should evaluate data acquisition methods to identify potential disparities in data completeness that can impact quality of clinical care and generalizability of self-reported data.
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Affiliation(s)
- Dana E. Rollison
- Department of Cancer EpidemiologyMoffitt Cancer CenterTampaFloridaUSA
| | - Brian D. Gonzalez
- Department of Health Outcomes and BehaviorMoffitt Cancer CenterTampaFloridaUSA
| | - Kea Turner
- Department of Health Outcomes and BehaviorMoffitt Cancer CenterTampaFloridaUSA
| | - Heather S. L. Jim
- Department of Health Outcomes and BehaviorMoffitt Cancer CenterTampaFloridaUSA
| | - Yayi Zhao
- Department of Cancer EpidemiologyMoffitt Cancer CenterTampaFloridaUSA
| | | | - Rachel Howard
- Department of Health InformaticsMoffitt Cancer CenterTampaFloridaUSA
| | - Kavita M. Ghia
- Collaborative Data Services Core, Moffitt Cancer CenterTampaFloridaUSA
| | - Bryan Ngo
- Department of Business Intelligence and AnalyticsMoffitt Cancer CenterTampaFloridaUSA
| | - Phillip Reisman
- Department of Health InformaticsMoffitt Cancer CenterTampaFloridaUSA
| | - Colin Moore
- Department of Clinical InformaticsMoffitt Cancer CenterTampaFloridaUSA
| | - Randa Perkins
- Department of Clinical InformaticsMoffitt Cancer CenterTampaFloridaUSA
| | - Robert J. Keenan
- Department of Thoracic OncologyMoffitt Cancer CenterTampaFloridaUSA
| | - David A. Sallman
- Department of Malignant HematologyMoffitt Cancer CenterTampaFloridaUSA
| | - Cristina M. Naso
- Department of Virtual HealthMoffitt Cancer CenterTampaFloridaUSA
| | - Edmondo J. Robinson
- Center for Digital HealthMoffitt Cancer CenterTampaFloridaUSA
- Department of Internal and Hospital MedicineMoffitt Cancer CenterTampaFloridaUSA
| | | | - Vani N. Simmons
- Department of Health Outcomes and BehaviorMoffitt Cancer CenterTampaFloridaUSA
| | | | - Scott M. Gilbert
- Department of Health Outcomes and BehaviorMoffitt Cancer CenterTampaFloridaUSA
- Department of Genitourinary OncologyMoffitt Cancer CenterTampaFloridaUSA
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8
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Fares AF, Li Y, Jiang M, Brown MC, Lam ACL, Aggarwal R, Schmid S, Leighl NB, Shepherd FA, Wang Z, Diao N, Wenzlaff AS, Xie J, Kohno T, Caporaso NE, Harris C, Ma H, Barnett MJ, Leal LF, Fernandez-Tardon G, Pérez-Ríos M, Davies MPA, Taylor F, Schöttker B, Brennan P, Zaridze D, Holcatova I, Lissowska J, Świątkowska B, Mates D, Savic M, Brenner H, Andrew A, Cox A, Field JK, Ruano-Ravina A, Shete SS, Tardon A, Wang Y, Le Marchand L, Reis RM, Schabath MB, Chen C, Shen H, Ryan BM, Landi MT, Shiraishi K, Zhang J, Schwartz AG, Tsao MS, Christiani DC, Yang P, Hung RJ, Xu W, Liu G. Association between duration of smoking abstinence before non-small-cell lung cancer diagnosis and survival: a retrospective, pooled analysis of cohort studies. Lancet Public Health 2023; 8:e691-e700. [PMID: 37633678 PMCID: PMC10540150 DOI: 10.1016/s2468-2667(23)00131-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 06/19/2023] [Accepted: 06/20/2023] [Indexed: 08/28/2023]
Abstract
BACKGROUND The association between duration of smoking abstinence before non-small-cell lung cancer (NSCLC) diagnosis and subsequent survival can influence public health messaging delivered in lung-cancer screening. We aimed to assess whether the duration of smoking abstinence before diagnosis of NSCLC is associated with improved survival. METHODS In this retrospective, pooled analysis of cohort studies, we used 26 cohorts participating in Clinical Outcomes Studies of the International Lung Cancer Consortium (COS-ILCCO) at 23 hospitals. 16 (62%) were from North America, six (23%) were from Europe, three (12%) were from Asia, and one (4%) was from South America. Patients enrolled were diagnosed between June 1, 1983, and Dec 31, 2019. Eligible patients had smoking data before NSCLC diagnosis, epidemiological data at diagnosis (obtained largely from patient questionnaires), and clinical information (retrieved from medical records). Kaplan-Meier curves and multivariable Cox models (ie, adjusted hazard ratios [aHRs]) were generated with individual, harmonised patient data from the consortium database. We estimated overall survival for all causes, measured in years from diagnosis date until the date of the last follow-up or death due to any cause and NSCLC-specific survival. FINDINGS Of 42 087 patients with NSCLC in the COS-ILCCO database, 21 893 (52·0%) of whom were male and 20 194 (48·0%) of whom were female, we excluded 4474 (10·6%) with missing data. Compared with current smokers (15 036 [40·0%] of 37 613), patients with 1-3 years of smoking abstinence before NSCLC diagnosis (2890 [7·7%]) had an overall survival aHR of 0·92 (95% CI 0·87-0·97), patients with 3-5 years of smoking abstinence (1114 [3·0%]) had an overall survival aHR of 0·90 (0·83-0·97), and patients with more than 5 years of smoking abstinence (10 841 [28·8%]) had an overall survival aHR of 0·90 (0·87-0·93). Improved NSCLC-specific survival was observed in 4301 (44%) of 9727 patients who had quit cigarette smoking and was significant at abstinence durations of more than 5 years (aHR 0·87, 95% CI 0·81-0·93). Results were consistent across age, sex, histology, and disease-stage distributions. INTERPRETATION In this large, pooled analysis of cohort studies across Asia, Europe, North America, and South America, overall survival was improved in patients with NSCLC whose duration of smoking abstinence before diagnosis was as short as 1 year. These findings suggest that quitting smoking can improve overall survival, even if NSCLC is diagnosed at a later lung-cancer screening visit. These findings also support the implementation of public health smoking cessation strategies at any time. FUNDING The Alan B Brown Chair, The Posluns Family Fund, The Lusi Wong Fund, and the Princess Margaret Cancer Foundation.
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Affiliation(s)
- Aline F Fares
- Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada; Division of Medical Oncology, Faculty of Medicine of São José do Rio Preto, São Paulo, Brazil
| | - Yao Li
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Mei Jiang
- Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - M Catherine Brown
- Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada
| | - Andrew C L Lam
- Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada
| | - Reenika Aggarwal
- Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada
| | - Sabine Schmid
- Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada; Universitätsklinik für Medizinische Onkologie, Inselspital Bern, Bern, Switzerland
| | - Natasha B Leighl
- Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada
| | - Frances A Shepherd
- Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada
| | - Zhichao Wang
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA; Division of Pulmonary and Critical Care Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Nancy Diao
- Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Angela S Wenzlaff
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA
| | - Juntao Xie
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - Neil E Caporaso
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Curtis Harris
- Laboratory of Human Carcinogenesis, Centre for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Matthew J Barnett
- Public Health Sciences, Biostatistics Program, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Leticia Ferro Leal
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil
| | - G Fernandez-Tardon
- University Institute of Oncology of Asturias-Cajastur Social Programme, University of Oviedo, Oviedo, Spain; Health Research Institute of Asturias, Oviedo, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública, Oviedo, Spain
| | - Mónica Pérez-Ríos
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Michael P A Davies
- Roy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Fiona Taylor
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK; Weston Park Cancer Centre, Sheffield Teaching Hospital Foundation Trust, Sheffield, UK
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; Network of Aging Research, Heidelberg University, Heidelberg, Germany
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - David Zaridze
- N N Blokhin National Medical Research Centre of Oncology, Moscow, Russia
| | - Ivana Holcatova
- Institute of Public Health and Preventive Medicine and Department of Oncology, Second Faculty of Medicine and University Hospital Motol, Charles University, Prague, Czech Republic
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | | | - Dana Mates
- National Institute of Public Health, Bucharest, Romania
| | - Milan Savic
- Department of Thoracic Surgery, Clinical Center of Serbia, Belgrade, Serbia
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center, Heidelberg, Germany; National Center for Tumor Diseases, German Cancer Research Center, Heidelberg, Germany; German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany
| | | | - Angela Cox
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - John K Field
- Roy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Alberto Ruano-Ravina
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain; Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain
| | - Sanjay S Shete
- M D Anderson Cancer Center, University of Texas, Houston, TX, USA
| | - Adonina Tardon
- University Institute of Oncology of Asturias-Cajastur Social Programme, University of Oviedo, Oviedo, Spain; Health Research Institute of Asturias, Oviedo, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública, Oviedo, Spain
| | - Ying Wang
- American Cancer Society, Atlanta, GA, USA
| | - Loic Le Marchand
- University of Hawai'i Cancer Centre, University of Hawai'i, Honolulu, HI, USA
| | - Rui Manuel Reis
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil; Life and Health Sciences Research Institute, Medical School, University of Minho, Braga, Portugal; Life and Health Sciences Research Institute-Biomaterials, Biodegradables and Biomimetics Research Group Associate Laboratory, Braga, Portugal
| | | | - Chu Chen
- Program in Epidemiology, Cancer Prevention Program, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Hongbing Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Brid M Ryan
- Laboratory of Human Carcinogenesis, Centre for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Maria Teresa Landi
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan; Department of Clinical Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Jie Zhang
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Ann G Schwartz
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA
| | - Ming S Tsao
- Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada
| | - David C Christiani
- Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Ping Yang
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Rayjean J Hung
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Lunenfeld-Tanenbaum Research Institute, Sinai Health Systems, Toronto, ON, Canada
| | - Wei Xu
- Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
| | - Geoffrey Liu
- Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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9
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Yang MJ, Pérez-Morales J, Quinn GP, Miller JD, Simmons VN, Schabath MB. Psychosocial characteristics and quality of life among sexual and gender minority patients with cancer. JNCI Cancer Spectr 2023; 7:pkad061. [PMID: 37572311 PMCID: PMC10587999 DOI: 10.1093/jncics/pkad061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/17/2023] [Accepted: 08/07/2023] [Indexed: 08/14/2023] Open
Abstract
BACKGROUND Underserved and minoritized patients with cancer often experience more psychosocial concerns and inferior quality of life (QOL) compared with majority populations. This study compared patient-reported psychosocial characteristics and QOL among self-identified sexual and gender minority patients with cancer vs cisgender-heterosexual patients with cancer treated at a National Cancer Institute-designated comprehensive cancer center in the United States. METHODS Self-report data from 51 503 patients were obtained from an institutional standard-of-care electronic patient questionnaire that was completed prior to, or on the day of, the patient's initial visit. The electronic patient questionnaire collects demographic information, including sexual orientation and gender identity, psychosocial variables, and QOL using the validated Short Form Health Survey-12. Sexual orientation and gender identity information was used to identify self-identified sexual and gender minority and cisgender-heterosexual persons (ie, non-self-identified sexual and gender minority). Using parametric analyses, psychosocial variables and QOL measures were compared for self-identified sexual and gender minority vs non-self-identified sexual and gender minority patients with cancer. RESULTS Compared with non-self-identified sexual and gender minority patients (n = 50 116), self-identified sexual and gender minority patients (n = 1387, 2.7%) reported statistically significantly greater concerns regarding getting help during treatment (2.6% vs 4.3%, respectively; P = .001) and concerns with ability to seek care (16.7% vs 21.6%, respectively, P < .001). Self-identified sexual and gender minority patients reported statistically significantly elevated mental health concerns and daily emotional and pain interference (all P < .001), whereas there was no statistically significant difference in daily interference due to physical functioning. CONCLUSION These data reveal real-world disparities among self-identified sexual and gender minority patients with cancer, which can be used to develop psychosocial interventions tailored to address the unique psychosocial and QOL needs of this underserved and minoritized population and to ultimately improve cancer care.
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Affiliation(s)
- Min-Jeong Yang
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Jaileene Pérez-Morales
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Gwendolyn P Quinn
- Department of Obstetrics and Gynecology, New York University Grossman School of Medicine, New York, NY, USA
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Jarred D Miller
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Vani N Simmons
- Department of Oncologic Sciences, College of Medicine, University of South Florida, Tampa, FL, USA
- Department of Psychology, University of South Florida, Tampa, FL, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
- Department of Oncologic Sciences, College of Medicine, University of South Florida, Tampa, FL, USA
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
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10
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Bhatt AS, Schabath MB, Hoogland AI, Jim HS, Brady-Nicholls R. Patient-Reported Outcomes as Interradiographic Predictors of Response in Non-Small Cell Lung Cancer. Clin Cancer Res 2023; 29:3142-3150. [PMID: 37233986 PMCID: PMC10425729 DOI: 10.1158/1078-0432.ccr-23-0396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/19/2023] [Accepted: 05/24/2023] [Indexed: 05/27/2023]
Abstract
PURPOSE Minimally invasive biomarkers have been used as important indicators of treatment response and progression in cancers such as prostate and ovarian. Unfortunately, all biomarkers are not prognostic in all cancer types and are often not routinely collected. Patient-reported outcomes (PRO) provide a non-obtrusive, personalized measure of a patient's quality of life and symptomatology, reported directly from the patient, and are increasingly collected as part of routine care. Previous literature has shown correlations between specific PROs (i.e., insomnia, fatigue) and overall survival. Although promising, these studies often only consider single time points and ignore patient-specific dynamic changes in individual PROs, which might be early predictors of treatment response or progression. EXPERIMENTAL DESIGN In this study, PRO dynamics were analyzed to determine if they could be used as interradiographic predictors of tumor volume changes among 85 patients with non-small cell lung cancer undergoing immunotherapy. PRO questionnaires and tumor volume scans were completed biweekly and monthly, respectively. Correlation and predictive analysis were conducted to identify specific PROs that could accurately predict patient response. RESULTS Changes in tumor volume over time were significantly correlated with dizziness (P < 0.005), insomnia (P < 0.05), and fatigue (P < 0.05). In addition, cumulative changes in insomnia could predict progressive disease with a 77% accuracy, on average 45 days prior to the next imaging scan. CONCLUSIONS This study presents the first time that patient-specific PRO dynamics have been considered to predict how individual patients will respond to treatment. This is an important first step in adapting treatment to improve response rates.
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Affiliation(s)
- Ambika S. Bhatt
- Department of Biostatistics, Gillings School of Global Public Health at the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Matthew B. Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Aasha I. Hoogland
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Heather S.L. Jim
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Renee Brady-Nicholls
- Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
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11
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Cheng C, Hong W, Li Y, Xiao X, McKay J, Han Y, Byun J, Peng B, Albanes D, Lam S, Tardon A, Chen C, Bojesen SE, Landi MT, Johansson M, Risch A, Bickeböller H, Wichmann HE, Christiani DC, Rennert G, Arnold S, Goodman G, Field JK, Davies MPA, Shete SS, Le Marchand L, Liu G, Hung RJ, Andrew AS, Kiemeney LA, Zhu M, Shen H, Zienolddiny S, Grankvist K, Johansson M, Cox A, Hong YC, Yuan JM, Lazarus P, Schabath MB, Aldrich MC, Brennan P, Li Y, Gorlova O, Gorlov I, Amos CI. Mosaic Chromosomal Alterations Are Associated With Increased Lung Cancer Risk: Insight From the INTEGRAL-ILCCO Cohort Analysis. J Thorac Oncol 2023; 18:1003-1016. [PMID: 37150255 PMCID: PMC10435278 DOI: 10.1016/j.jtho.2023.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/21/2023] [Accepted: 05/01/2023] [Indexed: 05/09/2023]
Abstract
INTRODUCTION Mosaic chromosomal alterations (mCAs) detected in white blood cells represent a type of clonal hematopoiesis (CH) that is understudied compared with CH-related somatic mutations. A few recent studies indicated their potential link with nonhematological cancers, especially lung cancer. METHODS In this study, we investigated the association between mCAs and lung cancer using the high-density genotyping data from the OncoArray study of INTEGRAL-ILCCO, the largest single genetic study of lung cancer with 18,221 lung cancer cases and 14,825 cancer-free controls. RESULTS We identified a comprehensive list of autosomal mCAs, ChrX mCAs, and mosaic ChrY (mChrY) losses from these samples. Autosomal mCAs were detected in 4.3% of subjects, in addition to ChrX mCAs in 3.6% of females and mChrY losses in 9.6% of males. Multivariable logistic regression analysis indicated that the presence of autosomal mCAs in white blood cells was associated with an increased lung cancer risk after adjusting for key confounding factors, including age, sex, smoking status, and race. This association was mainly driven by a specific type of mCAs: copy-neutral loss of heterozygosity on autosomal chromosomes. The association between autosome copy-neutral loss of heterozygosity and increased risk of lung cancer was further confirmed in two major histologic subtypes, lung adenocarcinoma and squamous cell carcinoma. In addition, we observed a significant increase of ChrX mCAs and mChrY losses in smokers compared with nonsmokers and racial differences in certain types of mCA events. CONCLUSIONS Our study established a link between mCAs in white blood cells and increased risk of lung cancer.
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Affiliation(s)
- Chao Cheng
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Wei Hong
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
| | - Yafang Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Xiangjun Xiao
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
| | - James McKay
- Section of Genetics, International Agency for Research on Cancer, WHO, Lyon, France
| | - Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Bo Peng
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephen Lam
- Department of Integrative Oncology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Adonina Tardon
- Public Health Department, University of Oviedo, ISPA and CIBERESP, Asturias, Spain
| | - Chu Chen
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Copenhagen University Hospital, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maria T Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer, WHO, Lyon, France
| | - Angela Risch
- Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, Germany; University of Salzburg and Cancer Cluster Salzburg, Salzburg, Austria
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
| | - H-Erich Wichmann
- Institute of Medical Statistics and Epidemiology, Technical University Munich, Munich, Germany
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Susanne Arnold
- University of Kentucky, Markey Cancer Center, Lexington, Kentucky
| | | | - John K Field
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Michael P A Davies
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Sanjay S Shete
- Department of Biostatistics, The University of Texas M. D. Anderson Cancer Center, Houston, Texas; Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Geoffrey Liu
- University Health Network- The Princess Margaret Cancer Centre, Toronto, California
| | - Rayjean J Hung
- Luenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada; Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Angeline S Andrew
- Department of Epidemiology, Dartmouth College, Hanover, New Hampshire; Department of Community and Family Medicine, Dartmouth College, Hanover, New Hampshire
| | | | - Meng Zhu
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | - Angela Cox
- Academic Unit of Clinical Oncology University of Sheffield, Weston Park Hospital, Whitham Road, Sheffield, United Kingdom
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jian-Min Yuan
- University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Melinda C Aldrich
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Paul Brennan
- Section of Genetics, International Agency for Research on Cancer, WHO, Lyon, France
| | - Yong Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Olga Gorlova
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Ivan Gorlov
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas.
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12
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Yang MJ, Martínez Ú, Simmons VN, Schabath MB, Vinci C. Considerations and recommendations for mHealth interventions for substance use among Sexual and Gender Minority (SGM) individuals: A narrative review of the past 5 years. Curr Addict Rep 2023; 10:1-13. [PMID: 37359146 PMCID: PMC10214315 DOI: 10.1007/s40429-023-00497-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/15/2023] [Indexed: 06/28/2023]
Abstract
Purposeof Review The prevalence of problematic substance use is disproportionately higher among sexual and gender minority (SGM) adults compared to adults in the general population. mHealth as a treatment modality could reduce barriers to accessing substance use treatments among SGM populations. Through a qualitative literature search, the current narrative review aimed to understand the lived experiences of SGM individuals who use substances and to synthesize recommendations made in the literature to inform future mHealth interventions. Recent Findings Positive and negative reinforcement motives were prominent reasons for substance use, which included SGM identity expression and conformity motives. Individual- and system-level treatment barriers included a lack of safe and nonjudgmental environment, shame and stigma, and limited knowledge about treatment options. Barriers were directly linked to the reported substance use treatment needs in this population. Summary On-demand app features, real-time intervention and assessment, and anonymity should be considered in future mHealth trials. Supplementary Information The online version contains supplementary material available at 10.1007/s40429-023-00497-0.
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Affiliation(s)
- Min-Jeong Yang
- Department of Health Outcomes and Behavior, Tobacco Research and Intervention Program, H. Lee Moffitt Cancer Center & Research Institute, MRC-TRIP, 12902 Magnolia Drive, Tampa, FL 33612 USA
| | - Úrsula Martínez
- Department of Health Outcomes and Behavior, Tobacco Research and Intervention Program, H. Lee Moffitt Cancer Center & Research Institute, MRC-TRIP, 12902 Magnolia Drive, Tampa, FL 33612 USA
- Department of Oncologic Sciences, College of Medicine, University of South Florida, Tampa, FL USA
| | - Vani N. Simmons
- Department of Health Outcomes and Behavior, Tobacco Research and Intervention Program, H. Lee Moffitt Cancer Center & Research Institute, MRC-TRIP, 12902 Magnolia Drive, Tampa, FL 33612 USA
- Department of Oncologic Sciences, College of Medicine, University of South Florida, Tampa, FL USA
- Department of Psychology, University of South Florida, Tampa, FL USA
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL USA
| | - Matthew B. Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL USA
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL USA
| | - Christine Vinci
- Department of Health Outcomes and Behavior, Tobacco Research and Intervention Program, H. Lee Moffitt Cancer Center & Research Institute, MRC-TRIP, 12902 Magnolia Drive, Tampa, FL 33612 USA
- Department of Oncologic Sciences, College of Medicine, University of South Florida, Tampa, FL USA
- Department of Psychology, University of South Florida, Tampa, FL USA
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13
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Shi J, Shiraishi K, Choi J, Matsuo K, Chen TY, Dai J, Hung RJ, Chen K, Shu XO, Kim YT, Landi MT, Lin D, Zheng W, Yin Z, Zhou B, Song B, Wang J, Seow WJ, Song L, Chang IS, Hu W, Chien LH, Cai Q, Hong YC, Kim HN, Wu YL, Wong MP, Richardson BD, Funderburk KM, Li S, Zhang T, Breeze C, Wang Z, Blechter B, Bassig BA, Kim JH, Albanes D, Wong JYY, Shin MH, Chung LP, Yang Y, An SJ, Zheng H, Yatabe Y, Zhang XC, Kim YC, Caporaso NE, Chang J, Ho JCM, Kubo M, Daigo Y, Song M, Momozawa Y, Kamatani Y, Kobayashi M, Okubo K, Honda T, Hosgood DH, Kunitoh H, Patel H, Watanabe SI, Miyagi Y, Nakayama H, Matsumoto S, Horinouchi H, Tsuboi M, Hamamoto R, Goto K, Ohe Y, Takahashi A, Goto A, Minamiya Y, Hara M, Nishida Y, Takeuchi K, Wakai K, Matsuda K, Murakami Y, Shimizu K, Suzuki H, Saito M, Ohtaki Y, Tanaka K, Wu T, Wei F, Dai H, Machiela MJ, Su J, Kim YH, Oh IJ, Lee VHF, Chang GC, Tsai YH, Chen KY, Huang MS, Su WC, Chen YM, Seow A, Park JY, Kweon SS, Chen KC, Gao YT, Qian B, Wu C, Lu D, Liu J, Schwartz AG, Houlston R, Spitz MR, Gorlov IP, Wu X, Yang P, Lam S, Tardon A, Chen C, Bojesen SE, Johansson M, Risch A, Bickeböller H, Ji BT, Wichmann HE, Christiani DC, Rennert G, Arnold S, Brennan P, McKay J, Field JK, Shete SS, Le Marchand L, Liu G, Andrew A, Kiemeney LA, Zienolddiny-Narui S, Grankvist K, Johansson M, Cox A, Taylor F, Yuan JM, Lazarus P, Schabath MB, Aldrich MC, Jeon HS, Jiang SS, Sung JS, Chen CH, Hsiao CF, Jung YJ, Guo H, Hu Z, Burdett L, Yeager M, Hutchinson A, Hicks B, Liu J, Zhu B, Berndt SI, Wu W, Wang J, Li Y, Choi JE, Park KH, Sung SW, Liu L, Kang CH, Wang WC, Xu J, Guan P, Tan W, Yu CJ, Yang G, Sihoe ADL, Chen Y, Choi YY, Kim JS, Yoon HI, Park IK, Xu P, He Q, Wang CL, Hung HH, Vermeulen RCH, Cheng I, Wu J, Lim WY, Tsai FY, Chan JKC, Li J, Chen H, Lin HC, Jin L, Liu J, Sawada N, Yamaji T, Wyatt K, Li SA, Ma H, Zhu M, Wang Z, Cheng S, Li X, Ren Y, Chao A, Iwasaki M, Zhu J, Jiang G, Fei K, Wu G, Chen CY, Chen CJ, Yang PC, Yu J, Stevens VL, Fraumeni JF, Chatterjee N, Gorlova OY, Hsiung CA, Amos CI, Shen H, Chanock SJ, Rothman N, Kohno T, Lan Q. Genome-wide association study of lung adenocarcinoma in East Asia and comparison with a European population. Nat Commun 2023; 14:3043. [PMID: 37236969 PMCID: PMC10220065 DOI: 10.1038/s41467-023-38196-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 04/19/2023] [Indexed: 05/28/2023] Open
Abstract
Lung adenocarcinoma is the most common type of lung cancer. Known risk variants explain only a small fraction of lung adenocarcinoma heritability. Here, we conducted a two-stage genome-wide association study of lung adenocarcinoma of East Asian ancestry (21,658 cases and 150,676 controls; 54.5% never-smokers) and identified 12 novel susceptibility variants, bringing the total number to 28 at 25 independent loci. Transcriptome-wide association analyses together with colocalization studies using a Taiwanese lung expression quantitative trait loci dataset (n = 115) identified novel candidate genes, including FADS1 at 11q12 and ELF5 at 11p13. In a multi-ancestry meta-analysis of East Asian and European studies, four loci were identified at 2p11, 4q32, 16q23, and 18q12. At the same time, most of our findings in East Asian populations showed no evidence of association in European populations. In our studies drawn from East Asian populations, a polygenic risk score based on the 25 loci had a stronger association in never-smokers vs. individuals with a history of smoking (Pinteraction = 0.0058). These findings provide new insights into the etiology of lung adenocarcinoma in individuals from East Asian populations, which could be important in developing translational applications.
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Affiliation(s)
- Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Research Institute, Tokyo, Japan
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Tzu-Yu Chen
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Juncheng Dai
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Rayjean J Hung
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Young Tae Kim
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Dongxin Lin
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Zhihua Yin
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Baosen Zhou
- Department of Clinical Epidemiology and Center of Evidence Based Medicine, The First Hospital of China Medical University, Shenyang, China
| | - Bao Song
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Jiucun Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Wei Jie Seow
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Li-Hsin Chien
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hee Nam Kim
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Maria Pik Wong
- Department of Pathology, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Brian Douglas Richardson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Karen M Funderburk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Shilan Li
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Biostatistics, Bioinformatics & Biomathematics, Georgetown University Medical Center, Washington, DC, USA
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Charles Breeze
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Zhaoming Wang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jin Hee Kim
- Department of Environmental Health, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Lap Ping Chung
- Department of Pathology, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Yang Yang
- Shanghai Pulmonary Hospital, Shanghai, China
| | - She-Juan An
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hong Zheng
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Yasushi Yatabe
- Department of Pathology and Clinical Laboratories, National Cancer Center Hospital, Tokyo, Japan
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Young-Chul Kim
- Lung and Esophageal Cancer Clinic, Chonnam National University Hwasun Hospital, Hwasuneup, Republic of Korea
- Department of Internal Medicine, Chonnam National Univerisity Medical School, Gwangju, Republic of Korea
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jiang Chang
- Department of Etiology & Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - James Chung Man Ho
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Michiaki Kubo
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yataro Daigo
- Center for Antibody and Vaccine Therapy, Research Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Medical Oncology and Cancer Center, and Center for Advanced Medicine against Cancer, Shiga University of Medical Science, Shiga, Japan
| | - Minsun Song
- Department of Statistics & Research Institute of Natural Sciences, Sookmyung Women's University, Seoul, Republic of Korea
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Masashi Kobayashi
- Department of Thoracic Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Kenichi Okubo
- Department of Thoracic Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Takayuki Honda
- Department of Respiratory Medicine, Tokyo Medical and Dental University, Tokyo, Japan
| | - Dean H Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
| | - Hideo Kunitoh
- Department of Medical Oncology, Japanese Red Cross Medical Center, Tokyo, Japan
| | - Harsh Patel
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Shun-Ichi Watanabe
- Department of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan
| | - Yohei Miyagi
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
| | - Haruhiko Nakayama
- Department of Thoracic Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Shingo Matsumoto
- Department of Thoracic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Hidehito Horinouchi
- Department of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan
| | - Masahiro Tsuboi
- Department of Thoracic Surgery, National Cancer Center Hospital East, Kashiwa, Japan
| | - Ryuji Hamamoto
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan
| | - Koichi Goto
- Department of Thoracic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Yuichiro Ohe
- Department of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan
| | - Atsushi Takahashi
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Akiteru Goto
- Department of Cellular and Organ Pathology, Graduate School of Medicine, Akita University, Akita, Japan
| | - Yoshihiro Minamiya
- Department of Thoracic Surgery, Graduate School of Medicine, Akita University, Akita, Japan
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Science, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Yoshinori Murakami
- Division of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kimihiro Shimizu
- Department of Surgery, Division of General Thoracic Surgery, Shinshu University School of Medicine Asahi, Nagano, Japan
| | - Hiroyuki Suzuki
- Department of Chest Surgery, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Motonobu Saito
- Department of Gastrointestinal Tract Surgery, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Yoichi Ohtaki
- Department of Integrative center of General Surgery, Gunma University Hospital, Gunma, Japan
| | - Kazumi Tanaka
- Department of Integrative center of General Surgery, Gunma University Hospital, Gunma, Japan
| | - Tangchun Wu
- Institute of Occupational Medicine and Ministry of Education Key Lab for Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China
| | - Fusheng Wei
- China National Environmental Monitoring Center, Beijing, China
| | - Hongji Dai
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jian Su
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yeul Hong Kim
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - In-Jae Oh
- Lung and Esophageal Cancer Clinic, Chonnam National University Hwasun Hospital, Hwasuneup, Republic of Korea
- Department of Internal Medicine, Chonnam National Univerisity Medical School, Gwangju, Republic of Korea
| | - Victor Ho Fun Lee
- Department of Clinical Oncology, The University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Gee-Chen Chang
- School of Medicine and Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Internal Medicine, Division of Pulmonary Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan
- Institute of Biomedical Sciences, National Chung Hsing University, Taichung, Taiwan
- Department of Internal Medicine, Division of Chest Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Ying-Huang Tsai
- Department of Respiratory Therapy, Chang Gung University, Taoyuan, Taiwan
- Department of Pulmonary and Critical Care, Xiamen Chang Gung Hospital, Xiamen, China
| | - Kuan-Yu Chen
- Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Ming-Shyan Huang
- Department of Internal Medicine, E-Da Cancer Hospital, I-Shou University and Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wu-Chou Su
- Department of Oncology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yuh-Min Chen
- Department of Chest Medicine, Taipei Veterans General Hospital, and school of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Adeline Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jae Yong Park
- Lung Cancer Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
- Jeonnam Regional Cancer Center, Chonnam National University, Hwasun, Republic of Korea
| | - Kun-Chieh Chen
- Department of Internal Medicine, Division of Pulmonary Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Biyun Qian
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Chen Wu
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Daru Lu
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jianjun Liu
- Genome Institute of Singapore, Agency of Science, Technology and Research, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | | | - Richard Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Margaret R Spitz
- Department of Medicine, Section of Epidemiology and Population Science, Institute for Clinical and Translational Research, Houston, TX, USA
| | - Ivan P Gorlov
- Department of Medicine, Section of Epidemiology and Population Science, Institute for Clinical and Translational Research, Houston, TX, USA
| | - Xifeng Wu
- School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Ping Yang
- Department of Health Sciences Research, Mayo Clinic, Scottsdale, AZ, USA
| | - Stephen Lam
- British Columbia Cancer Agency, Vancouver, BC, Canada
| | | | - Chu Chen
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Stig E Bojesen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mattias Johansson
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Angela Risch
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
- University of Salzburg and Cancer Cluster Salzburg, Salzburg, Austria
| | | | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians University, Munich, Germany
- Helmholtz Center Munich, Institute of Epidemiology, Munich, Germany
- Institute of Medical Statistics and Epidemiology, Technical University Munich, Munich, Germany
| | | | | | | | - Paul Brennan
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - James McKay
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | | | - Sanjay S Shete
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Geoffrey Liu
- Princess Margaret Cancer Center, Toronto, ON, Canada
| | | | | | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | | | | | - Jian-Min Yuan
- UPMC Hillman Cancer Center and Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Philip Lazarus
- Washington State University College of Pharmacy, Spokane, WA, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hyo-Sung Jeon
- Cancer Research Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Shih Sheng Jiang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Jae Sook Sung
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Chung-Hsing Chen
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Chin-Fu Hsiao
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Yoo Jin Jung
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Huan Guo
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhibin Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Laurie Burdett
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Belynda Hicks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Jia Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Wei Wu
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Junwen Wang
- Department of Biochemistry, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Centre for Genomic Sciences, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Yuqing Li
- Department of Human Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Jin Eun Choi
- Cancer Research Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Kyong Hwa Park
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Sook Whan Sung
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Li Liu
- Department of Oncology, Cancer Center, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Chang Hyun Kang
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Wen-Chang Wang
- The Ph.D. Program for Translational Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Jun Xu
- School of Public Health, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Peng Guan
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, China
| | - Wen Tan
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chong-Jen Yu
- Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | | | - Ying Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Yi Young Choi
- Cancer Research Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Jun Suk Kim
- Department of Internal Medicine, Division of Medical Oncology, College of Medicine, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Ho-Il Yoon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - In Kyu Park
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ping Xu
- Department of Oncology, Wuhan Iron and Steel (Group) Corporation Staff-Worker Hospital, Wuhan, China
| | - Qincheng He
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Chih-Liang Wang
- Department of Pulmonary and Critical Care, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Hsiao-Han Hung
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Roel C H Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Junjie Wu
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Wei-Yen Lim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Fang-Yu Tsai
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - John K C Chan
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong, China
| | - Jihua Li
- Qujing Center for Diseases Control and Prevention, Qujing, China
| | - Hongyan Chen
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Hsien-Chih Lin
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Li Jin
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jie Liu
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Kathleen Wyatt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Shengchao A Li
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Meng Zhu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Zhehai Wang
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Sensen Cheng
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Xuelian Li
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, China
| | - Yangwu Ren
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, China
| | - Ann Chao
- Center for Global Health, National Cancer Institute, Bethesda, MD, USA
| | - Motoki Iwasaki
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Junjie Zhu
- Shanghai Pulmonary Hospital, Shanghai, China
| | | | - Ke Fei
- Shanghai Pulmonary Hospital, Shanghai, China
| | - Guoping Wu
- China National Environmental Monitoring Center, Beijing, China
| | - Chih-Yi Chen
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Division of Thoracic Surgery, Department of Surgery, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Chien-Jen Chen
- Genomic Research Center, Academia Sinica, Taipei, Taiwan
| | - Pan-Chyr Yang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Jinming Yu
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | | | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Olga Y Gorlova
- Department of Medicine, Section of Epidemiology and Population Science, Institute for Clinical and Translational Research, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Chao Agnes Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Christopher I Amos
- Department of Medicine, Section of Epidemiology and Population Science, Institute for Clinical and Translational Research, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Hongbing Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Research Institute, Tokyo, Japan
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
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Zamani SA, Perez-Morales J, Miller JD, Schabath MB. Abstract 1916: Cancer disparities among sexual and gender minority patients at a National Cancer Institute-Designated Comprehensive Cancer Center. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-1916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Background: Over the last several decades there have been concerted efforts to reduce health disparities among intersecting underserved populations including racial and ethnic, social class, disability, and geographic location. However, there have been limited efforts to identify and address cancer disparities by sexual orientation and gender identity (SOGI). We sought to identify differences in demographics, risk factors, clinical characteristics, and outcomes between sexual and gender minority (SGM) and non-SGM cancer patients.
Methods: Analysis include over 70,000 cancer patients at the Moffitt Cancer Center (Tampa, FL) who completed our Electronic Patient Questionnaire (EPQ) at their initial appointment. Moffitt’s EPQ is a standard-of-care (SOC) questionnaire instrument used to collect self-reported demographics, prior medical history, history of cancer, utilization of cancer screening services, and lifestyle risk factors. The SOGI items in the demographics section were used to categorize persons as a SGM or non-SGM. Cancer registry data were used to obtain clinical covariates on the patients that completed the EPQ.
Results: SGM patients represented 2.3% of the patient population. The mean age of SGM patients was significantly lower (mean=56) compared to non-SGM patients (mean=62.3, p= <0.001). There was a higher prevalence of racial (10.1% vs 9.4%, p= <0.001) and ethnic (11.5% vs 8.8%, p= <0.001) minorities among SGM vs non-SGM patients. SGM patients were significantly more likely to be single (32.8% vs 10.3%, p= <0.001). For modifiable risk factors, there were significantly more current smokers among SGM vs non-SGM patients (5.4% vs 3.1%, p= <0.001) and SGM patients reported higher number of pack-years smoked (mean=22.5 vs mean=22.5, p= 0.007). SGM patients reported higher rates alcohol consumption, especially significantly higher rates of more than 5 drinks per day (8.1% vs 6.2%, p= <0.001). SGM patients reported significantly higher rates of depression (35.1% vs 19.8%, p= <0.001). SGM patients also reported less utilization in all forms of exercise such as moderate to vigorous physical activity or walking). SGM patients reported lower utilizing of fecal occult blood test (26.6% vs 32.3%, p= 0.026) and sigmoidoscopy/colonoscopy (75.1% vs 89.8%, p= <0.001) for colorectal cancer screening compared to non-SGM patients. SGM patients had slightly higher rates of cancer diagnoses for GI, Endocrine, Sarcoma, GYN and associated with overall inferior survival (p= 0.001).
Discussion: The Moffitt Cancer Center began collecting SOGI information as SOC information on all new patients since 2016. In just 5 years of data collection, our institution has identified numerous real-world disparities among SGMs patients. These findings will be critical to develop tailored interventions to improve equality care across the cancer care continuum for SGM populations.
Citation Format: Shahrzad A. Zamani, Jaileene Perez-Morales, Jarred D. Miller, Matthew B. Schabath. Cancer disparities among sexual and gender minority patients at a National Cancer Institute-Designated Comprehensive Cancer Center [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1916.
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15
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Pérez-Morales J, Broman KK, Bettampadi D, Haver MK, Zager JS, Schabath MB. Recurrence Patterns for Regionally Metastatic Melanoma Treated in the Era of Adjuvant Therapy: A Systematic Review and Meta-Analysis. Ann Surg Oncol 2023; 30:2364-2374. [PMID: 36479663 DOI: 10.1245/s10434-022-12866-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 11/07/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND The purpose of this systematic review was to examine the timing and patterns of recurrence for patients with regionally metastatic melanoma on the basis of nodal management and receipt of adjuvant therapy. METHODS We identified randomized controlled trials and non-randomized studies published between 2010 and 2020 that reported timing and/or patterns of recurrence. We evaluated recurrence-free survival (RFS), location of recurrence, and surveillance strategy on the basis of receipt of adjuvant systemic therapy and nodal management with observation versus completion dissection. We compared differences in patterns of recurrence across studies using RevMan. RFS was evaluated graphically using point estimates and confidence intervals. RESULTS Among the 19 publications, there was wide variation in study populations, imaging surveillance regimens, and format of recurrence reporting. Patterns of disease recurrence did not differ between adjuvant and placebo/observation groups. A total of 11 studies reported RFS at variable time intervals, which ranged in adjuvant therapy groups (38-88% at 1 year, 29-67% at 2 years, 33-58% at 3 years, and 34-53% at 5 years) and placebo/observation groups (47-63% at 1 year, 39-47% at 2 years, 33-68% at 3 years, and 57% at 5 years). Anti-PD-1 immune therapy and BRAF/MEK inhibitor therapy were superior to placebo at year 1. DISCUSSION We found that adjuvant treatment improved RFS but did not alter the patterns of disease recurrence compared with patients managed without adjuvant systemic treatment. Future studies should separately report sites of disease recurrence on the basis of specific adjuvant systemic treatment and surveillance practices to better advise patients about their patterns and risk of recurrence.
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Affiliation(s)
- Jaileene Pérez-Morales
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
| | - Kristy K Broman
- Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
- Department of Oncologic Sciences, University of South Florida Morsani College of Medicine, Tampa, FL, USA
- Department of Surgery, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Deepti Bettampadi
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Mary Katherine Haver
- Moffitt Biomedical Library, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Jonathan S Zager
- Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
- Department of Oncologic Sciences, University of South Florida Morsani College of Medicine, Tampa, FL, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
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16
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Sampson A, Block R, Lake PW, Gagliardi J, Augusto B, Santiago-Datil W, Sutter M, Schabath MB, Vadaparampil S, Quinn GP. "No one size fits all" A Multi-Method Survey of Oncology Allied Health Professionals Experiences with Lesbian, Gay, Bisexual, Transgender/Queer Questioning Adolescent, and Young Adult Patients with Cancer and Reproductive and Sexual Health". J Adolesc Young Adult Oncol 2023; 12:250-258. [PMID: 35731000 PMCID: PMC10124174 DOI: 10.1089/jayao.2021.0208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Objectives: To assess training needs for providers who care for adolescent and young adult (AYA) lesbian, gay, bisexual, transgender/queer questioning (LGBTQ) cancer patients, we conducted a mixed-method survey. During their cancer care experience, AYA cancer patients experience physical, psychosocial, and reproductive health challenges. In addition to these challenges, AYA LGBTQ individuals are a diverse and medically underserved population who experience unique challenges and disparities in medical care. Methods: Health care providers (n = 351) who participated in our reproductive health in cancer training program completed a survey with 28 quantitative items and 4 open-ended items assessing knowledge, confidence discussing reproductive health, and confidence in knowledge specific to reproductive needs and general health needs among AYA LGBTQ patients. Results: Confidence discussing and confidence in knowledge of reproductive and general health needs are lower regarding transgender and nonbinary patients. Nearly half of providers (45%) demonstrated low knowledge, while 38% and 17% demonstrated moderate and high knowledge, respectively. Open comments indicated providers desired more training around the needs of Trans and nonbinary patients, and creating welcoming environments. Conclusions: The majority of our participants demonstrate low or moderate knowledge regarding factors that can influence AYA LGBTQ patient care, suggesting that this is a key area for improvement. Furthermore, improving provider knowledge may subsequently improve confidence in general and reproductive needs of LGBTQ patients, resulting in improved patient-centered care. Improving provider knowledge and confidence may then ultimately help reduce disparities in cancer care among this patient population.
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Affiliation(s)
- Amani Sampson
- Department of Obstetrics and Gynecology, Grossman School of Medicine, New York, New York, USA
| | | | - Paige W. Lake
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA
- Community Outreach Engagement, & Equity, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA
| | - Julia Gagliardi
- Department of Obstetrics and Gynecology, Grossman School of Medicine, New York, New York, USA
| | - Bianca Augusto
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA
- Community Outreach Engagement, & Equity, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA
| | - Waleska Santiago-Datil
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA
- Community Outreach Engagement, & Equity, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA
| | - Megan Sutter
- Department of Obstetrics and Gynecology, Grossman School of Medicine, New York, New York, USA
| | - Matthew B. Schabath
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA
- Community Outreach Engagement, & Equity, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA
| | - Susan Vadaparampil
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA
- Community Outreach Engagement, & Equity, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA
| | - Gwendolyn P. Quinn
- Department of Obstetrics and Gynecology, Grossman School of Medicine, New York, New York, USA
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Pérez-Morales J, Broman KK, Bettampadi D, Haver MK, Zager JS, Schabath MB. ASO Visual Abstract: Recurrence Patterns for Regionally Metastatic Melanoma Treated in the Era of Adjuvant Therapy: A Systematic Review and Meta-Analysis. Ann Surg Oncol 2023; 30:2375-2376. [PMID: 36538252 DOI: 10.1245/s10434-022-12929-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Jaileene Pérez-Morales
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
| | - Kristy K Broman
- Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
- Department of Oncologic Sciences, University of South Florida Morsani College of Medicine, Tampa, FL, USA
- Department of Surgery, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Deepti Bettampadi
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Mary Katherine Haver
- Moffitt Biomedical Library, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Jonathan S Zager
- Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
- Department of Oncologic Sciences, University of South Florida Morsani College of Medicine, Tampa, FL, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
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18
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Pratt-Chapman ML, Wang Y, Eckstrand K, Radix A, Quinn GP, Schabath MB, Lopez AM. Together-Equitable-Accessible-Meaningful (TEAM) Training to Improve Cancer Care for Sexual and Gender Minorities (SGM): Outcomes from a Pilot Study. J Cancer Educ 2023; 38:419-425. [PMID: 35013901 PMCID: PMC9271127 DOI: 10.1007/s13187-022-02134-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/02/2022] [Indexed: 05/20/2023]
Abstract
To alleviate health disparities experienced by sexual and gender minority (SGM) patients, cancer care professionals need further education on the needs of SGM cancer patients and their loved ones and caregivers. The Together-Equitable-Accessible-Meaningful (TEAM) Training to Improve Cancer Care for SGM Patients (TEAM SGM) was developed and piloted to address this need. This study reports healthcare professional learner outcomes from the TEAM SGM pilot intervention. The TEAM SGM Training pilot consisted of 2.5 h of content from the original online self-paced TEAM Training plus 12 1-h Zoom sessions on specialized topics in addition to readings and activities. Participants (n = 28), representing seven cancer service organizations from six states in the USA, were recruited through newsletter listservs and social media. All participants (n = 28) completed the pre-test and twenty-two participants completed the post-test. Using five factors confirmed in a separate Confirmatory Factor Analysis, paired t-tests of TEAM SGM participant pre- and post-test data were conducted. Statistically significant improvements were found in four of five factors: Environmental Cues (t(21) = 2.56, p = .018), Knowledge (t(21) = 2.15, p = .043), Clinical Preparedness (t(7) = 3.89, p = .006), Clinical Behaviors (t(21) = 2.48, p = .022). The Attitudes factor was not significantly improved from pre-intervention to post-intervention likely due to strong affirming attitudes toward SGM patients at baseline. TEAM SGM is a feasible, effective training to build capacity in SGM-affirming care for cancer care providers.
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Affiliation(s)
- Mandi L. Pratt-Chapman
- The George Washington University, School of Medicine and Health Sciences, Department of Medicine, Washington, DC, USA
- The GW Cancer Center, Washington, DC, USA
| | - Yan Wang
- The George Washington University, Milken Institute School of Public Health, Department of Prevention and Community Health, Washington, DC, USA
| | - Kristen Eckstrand
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA
| | - Asa Radix
- Callen-Lorde Community Health Center, New York, NY, USA
| | - Gwendolyn P. Quinn
- Grossman School of Medicine, Departments of OB-GYN and Population Health, Perlmutter Cancer Center, New York University, New York, NY, USA
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19
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García-Pardo M, Chang A, Schmid S, Dong M, Brown MC, Christiani D, Tindel HA, Brennan P, Chen C, Zhang J, Ryan BM, Zaridze D, Schabath MB, Leal LF, Reis RM, Tardon A, Fernández-Tardon G, Shete SS, Andrew A, Brenner H, Xu W, Hung RJ, Liu G. Respiratory and Cardiometabolic Comorbidities and Stages I to III NSCLC Survival: A Pooled Analysis From the International Lung Cancer Consortium. J Thorac Oncol 2023; 18:313-323. [PMID: 36396063 PMCID: PMC10463560 DOI: 10.1016/j.jtho.2022.10.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/14/2022] [Accepted: 10/27/2022] [Indexed: 11/16/2022]
Abstract
INTRODUCTION We explored the association of respiratory and cardiometabolic comorbidities with NSCLC overall survival (OS) and lung cancer-specific survival (LCSS), by stage, in a large, multicontinent NSCLC pooled data set. METHODS On the basis of patients pooled from 11 International Lung Cancer Consortium studies with available respiratory and cardiometabolic comorbidity data, adjusted hazard ratios (aHRs) were estimated using Cox models for OS. LCSS was evaluated using competing risk Grey and Fine models and cumulative incidence functions. Logistic regression (adjusted OR [aOR]) was applied to assess factors associated with surgical resection. RESULTS OS analyses used patients with NSCLC with respiratory health or cardiometabolic health data (N = 16,354); a subset (n = 11,614) contributed to LCSS analyses. In stages I to IIIA NSCLC, patients with respiratory comorbidities had worse LCCS (stage IA aHR = 1.51, confidence interval [CI]: 1.17-1.95; stages IB-IIIA aHR = 1.20, CI: 1.06-1.036). In contrast, patients with stages I to IIIA NSCLC with cardiometabolic comorbidities had a higher risk of death from competing (non-NSCLC) causes (stage IA aHR = 1.34, CI: 1.12-1.69). The presence of respiratory comorbidities was inversely associated with having surgical resection (stage IA aOR = 0.54, CI: 0.35-0.83; stages IB-IIIA aOR = 0.57, CI: 0.46-0.70). CONCLUSIONS The presence of either cardiometabolic or respiratory comorbidities is associated with worse OS in stages I to III NSCLC. Patients with respiratory comorbidities were less likely to undergo surgery and had worse LCSS, whereas patients with cardiometabolic comorbidities had a higher risk of death from competing causes. As more treatment options for stages I to III NSCLC are introduced into the practice, accounting for cardiometabolic and respiratory comorbidities becomes essential in trial interpretation and clinical management.
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Affiliation(s)
- Miguel García-Pardo
- The Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, Ontario, Canada.
| | - Amy Chang
- The Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Sabine Schmid
- Department of Medical Oncology, University Hospital Berne, Berne, Switzerland
| | - Mei Dong
- The Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - M Catherine Brown
- The Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - David Christiani
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Hilary Aurora Tindel
- Division of Internal Medicine & Public Health and Vanderbilt Ingram Cancer Center (VICC), Vanderbilt University Medical Centre, Nashville, Tennessee
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Chu Chen
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jie Zhang
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
| | - Brid M Ryan
- Laboratory of Human Carcinogenesis, Centre for Cancer Research, National Institutes of Health, Bethesda, Maryland
| | - David Zaridze
- Russian N.N. Blokhin Cancer Research Centre, Moscow, Russia
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Leticia Ferro Leal
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil
| | - Rui Manuel Reis
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil; Life and Health Sciences Research Institute (ICVS), Medical School, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Portugal
| | - Adonina Tardon
- IUOPA, University of Oviedo and ISPA (Health Research Institute of the Principality of Asturias) and CIBERESP, Asturias, Spain
| | - Guillermo Fernández-Tardon
- IUOPA, University of Oviedo and ISPA (Health Research Institute of the Principality of Asturias) and CIBERESP, Asturias, Spain
| | - Sanjay S Shete
- The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - Hermann Brenner
- German Cancer Research Center (DKFZ), Heidelberg, Germany; Network of Aging Research, Heidelberg University, Heidelberg, Germany
| | - Wei Xu
- The Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Rayjean J Hung
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada; Lunenfeld-Tanenbaum Research Institute, Sinai Health Systems, Toronto, Canada
| | - Geoffrey Liu
- The Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, Ontario, Canada.
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20
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Leone AG, Trapani D, Schabath MB, Safer JD, Scout NFN, Lambertini M, Berardi R, Marsoni S, Perrone F, Cinieri S, Miceli R, Morano F, Pietrantonio F. Cancer in Transgender and Gender-Diverse Persons: A Review. JAMA Oncol 2023; 9:556-563. [PMID: 36757703 DOI: 10.1001/jamaoncol.2022.7173] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Importance Transgender and gender-diverse individuals face unique challenges, including barriers to health care access and inequities in treatment, that may influence cancer risk and outcomes. Observations In this narrative review, a scoping review was conducted focusing on primary and secondary prevention and epidemiology of cancer, barriers to health care services, and health care practitioners' knowledge about specific issues pertaining to transgender and gender-diverse individuals. PubMed, the Cochrane Library, and Embase, were reviewed for citations from their inception to December 31, 2021. This review revealed that transgender and gender-diverse people had a high prevalence of tobacco consumption and alcohol use and high rates of infection with human papillomavirus (HPV) and HIV. Transgender and gender-diverse individuals were less likely to adhere to cancer screening programs and had a higher incidence of HIV- and HPV-associated cancers. Social and economic determinants seemed to drive these disparities in risk factors and outcomes. A lack of knowledge about gender minorities' health needs among health care practitioners was evidenced, and it represented a major hurdle to cancer prevention, care, and survivorship for transgender and gender-diverse individuals. Discrimination, discomfort caused by gender-labeled oncological services, stigma, and lack of cultural sensitivity of health care practitioners were other barriers met by transgender and gender-diverse persons in the oncology setting. Conclusions and Relevance The findings suggest that transgender and gender-diverse peoples' needs in the cancer care continuum are not optimally addressed. Effective solutions are needed to offer the best care to every patient in a person-centric and gender diversity-sensitive environment.
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Affiliation(s)
| | - Dario Trapani
- European Institute of Oncology, IRCCS, Milan, Italy.,Dana Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | | | - Joshua D Safer
- Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York, New York.,Mount Sinai Center for Transgender Medicine and Surgery, New York, New York
| | - N F N Scout
- National LGBT Cancer Network, Providence, Rhode Island
| | - Matteo Lambertini
- Department of Internal Medicine and Medical Specialties, School of Medicine, University of Genova, Genova, Italy.,Department of Medical Oncology, Unità Operativa Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Rossana Berardi
- Oncology Clinic, Università Politecnica delle Marche, Ospedali Riuniti di Ancona, Ancona, Italy
| | - Silvia Marsoni
- IFOM, FIRC Institute of Molecular Oncology, Milan, Italy
| | - Francesco Perrone
- Clinical Trial Unit, Istituto Nazionale Tumori, IRCCS, Fondazione G. Pascale, Napoli, Italy
| | - Saverio Cinieri
- Medical Oncology Unit, Ospedale di Summa A. Perrino, Brindisi, Italy
| | - Rosalba Miceli
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Federica Morano
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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21
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Karpel HC, Sampson A, Charifson M, Fein LA, Murphy D, Sutter M, Tamargo CL, Quinn GP, Schabath MB. Assessing Medical Students' Attitudes and Knowledge Regarding LGBTQ Health Needs Across the United States. J Prim Care Community Health 2023; 14:21501319231186729. [PMID: 37449447 PMCID: PMC10350786 DOI: 10.1177/21501319231186729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 06/19/2023] [Accepted: 06/20/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND The lesbian, gay, bisexual, transgender, and queer/questioning (LGBTQ) community experiences health disparities. It is thus imperative that medical trainees receive training in the care of LGBTQ community. The objective of this study was to identify gaps in knowledge and comfort among medical school students in providing care for the LGBTQ community. METHODS An online survey was administered to medical students at 3 institutions in the United States from December 2020 to March 2021. Using a Likert scale, the survey assessed attitudes, comfort, and knowledge in providing care for the LGBTQ community. The survey included questions for each specific LGBTQ population. Results were quantified using descriptive and stratified analyses, and an exploratory factor analysis was used to calculate attitude summary measure (ASM) scores. A total knowledge score was calculated, with higher values indicating greater knowledge. RESULTS Among the 300 medical students who completed the survey, the majority were female (55.7%), White (54.7%), and heterosexual (64.3%). The majority of medical students felt comfortable (strongly agree/agree) participating in the care of lesbian (94.3%), gay (96.0%), and bisexual (96.3%) patients; this percentage dropped to 82.3% for non-binary and 71.3% for transgender patients. Only 27.0% of medical students reported confidence in their knowledge of health needs of transgender patients. LGBTQ self-identification, percent of core rotations completed in school, region of country, and friends and/or family who are part of the LGBTQ community were significantly associated with various ASM scores. Knowledge questions yielded high percentages of "neutral" responses, and medical students who identified as LGBTQ had significantly higher total knowledge scores. CONCLUSIONS Overall, the surveyed medical students feel comfortable and willing to provide care for LGBTQ persons. But, there is limited knowledge about specific LGBTQ health needs. More education and training in the needs of transgender and non-binary patients, in particular, is indicated.
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Affiliation(s)
| | | | | | - Lydia A. Fein
- University of Miami Miller School of Medicine, Miami, FL, USA
| | - Devin Murphy
- University of Texas Health, San Antonio, TX, USA
| | - Megan Sutter
- New York University, New York, NY, USA
- Emory University, Atlanta, GA, USA
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22
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Pérez-Morales J, Pathak R, Reyes M, Tolbert H, Tirbene R, Gray JE, Simmons VN, Schabath MB, Quinn GP. Qualitative Findings From a Survey on Patient Experiences and Satisfaction with Lung Cancer Screening. Cancer Control 2023; 30:10732748231167963. [PMID: 36971270 PMCID: PMC10052477 DOI: 10.1177/10732748231167963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND To reveal successes and potential limitations of the lung cancer screening program, we conducted a survey that included both quantitative and open-ended questions to measure patient experiences and satisfaction with screening. METHODS We report on the five open-ended items related to barriers to returning for screening, experience with other cancer prevention screenings, positive and negative experiences, and suggestions for improving future appointments. The open-ended responses were analyzed using constant comparison method and inductive content analysis. RESULTS Respondents (182 patients, 86% response rate for open-ended questions) provided generally positive comments about their lung cancer screening experience. Negative comments were related to desire for more information about results, long wait times for results, and billing issues. Suggestions for improvements included: scheduling on-line appointments and text or email reminders, lower costs, and responding to uncertainty about eligibility criteria. CONCLUSION Findings provide insights about patient experiences and satisfaction with lung cancer screening which is important given low uptake. Ongoing patient-centered feedback may improve the lung cancer screening experience and increase follow-up screening rates.
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Affiliation(s)
- Jaileene Pérez-Morales
- Department of Cancer Epidemiology, 25301H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Rashmi Pathak
- Department of Cancer Epidemiology, 25301H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Monica Reyes
- Department of Cancer Epidemiology, 25301H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Haley Tolbert
- Department of Thoracic Oncology, 25301H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Rajwantee Tirbene
- Department of Cancer Epidemiology, 25301H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Jhanelle E Gray
- Department of Thoracic Oncology, 25301H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Vani N Simmons
- Department of Health Outcomes and Behavior, 25301H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, 25301H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
- Department of Thoracic Oncology, 25301H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Gwendolyn P Quinn
- Departments of Obstetrics and Gynecology and Population Health, 12296New York University Grossman School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
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23
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Willis C, Bauer H, Au TH, Menon J, Unni S, Tran D, Rivers Z, Akerley W, Schabath MB, Badin F, Sekhon A, Patel M, Xia B, Gustafson B, Villano JL, Thomas JM, Lubinga SJ, Cantrell MA, Brixner D, Stenehjem D. Addendum: Real-world survival analysis by tumor mutational burden in non-small cell lung cancer: a multisite U.S. study. Oncotarget 2022; 13:1306. [PMID: 36473137 PMCID: PMC9726200 DOI: 10.18632/oncotarget.28318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Affiliation(s)
- Connor Willis
- 1Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA,Correspondence to:Connor Willis, email:
| | - Hillevi Bauer
- 1Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA
| | - Trang H. Au
- 1Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA
| | - Jyothi Menon
- 1Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA
| | - Sudhir Unni
- 1Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA
| | - Dao Tran
- 2Department of Pharmacy Practice and Pharmaceutical Sciences, College of Pharmacy, University of Minnesota, Duluth, MN, USA
| | - Zachary Rivers
- 2Department of Pharmacy Practice and Pharmaceutical Sciences, College of Pharmacy, University of Minnesota, Duluth, MN, USA
| | - Wallace Akerley
- 3Department of Internal Medicine, Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT, USA
| | - Matthew B. Schabath
- 4Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Firas Badin
- 5Department of Hematology and Oncology, Baptist Health Medical Group, Lexington, KY, USA
| | - Ashley Sekhon
- 6Department of Radiation Oncology, MetroHealth Medical Center, Cleveland, OH, USA
| | - Malini Patel
- 7Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Bing Xia
- 8Department of Medicine, Kenneth Norris Jr. Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Beth Gustafson
- 9Precision Oncology Program, Saint Luke’s Cancer Institute, Kansas City, MO, USA
| | - John L. Villano
- 10Department of Internal Medicine, Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | | | - Solomon J. Lubinga
- 12Health Economics and Outcomes Research, Bristol Myers Squibb, Princeton, NJ, USA
| | | | - Diana Brixner
- 1Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA
| | - David Stenehjem
- 1Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA,2Department of Pharmacy Practice and Pharmaceutical Sciences, College of Pharmacy, University of Minnesota, Duluth, MN, USA
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Block RG, Sampson A, Gagliardi J, Augusto B, Santiago-Datil W, Schabath MB, Vadaparampil ST, Quinn GP. The LOvE ECHO Training: Developing a Web-Based LGBTQ Cultural Competency Training Module for Oncology Allied Health Professionals. J Adolesc Young Adult Oncol 2022; 11:556-563. [PMID: 35475655 PMCID: PMC9784593 DOI: 10.1089/jayao.2021.0159] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Purpose: This article describes the development of the LGBTQ Oncofertility Education (LOvE-ECHO). The Enriching Communication skills for Health professionals in Oncofertility (ECHO) team created this new education module in response to the needs of oncology allied health professionals to provide inclusive and affirming care to lesbian, gay, bisexual, transgender, and queer (LGBTQ) AYA patients with cancer. The new module is part of the ECHO, a web-based educational training program for oncology allied health professionals to improve communication with AYA about reproductive health. Methods: The development of LOvE-ECHO includes five phases-learner needs assessment, content development and revision, piloting, and finalizing. Results from a survey of past ECHO learners and a comprehensive literature review provided the basis of need for this module and identified the most prominent gaps in knowledge and training. Content development and revision were iterative, including input, feedback, and voices from LQBTA youth and survivors, researchers, reproductive health experts, oncology clinicians, and web developer. Results: The complete LOvE-ECHO module consists of both didactic and interactive lessons. A glossary of terms and narrated PowerPoint establishes a knowledge base and shared vocabulary. Three interactive cases and a plan for action provide learners opportunities to test their new knowledge and transfer it to their practice. Conclusion: The module has received positive feedback to date. It is currently being piloted with new learners who complete a pre-test and post-test, as well as a feedback survey. Analysis of these results will inform revisions to the module.
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Affiliation(s)
| | - Amani Sampson
- Department of Obstetrics and Gynecology, Grossman School of Medicine, New York, New York, USA
| | - Julia Gagliardi
- Department of Obstetrics and Gynecology, Grossman School of Medicine, New York, New York, USA
| | - Bianca Augusto
- Department of Health Outcomes and Behavior, and Equity, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Waleska Santiago-Datil
- Department of Health Outcomes and Behavior, and Equity, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Matthew B. Schabath
- Department of Cancer Epidemiology, and and Equity, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Susan T. Vadaparampil
- Department of Health Outcomes and Behavior, and Equity, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
- Community Outreach Engagement, and Equity, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Gwendolyn P. Quinn
- Department of Obstetrics and Gynecology, Grossman School of Medicine, New York, New York, USA
- Departments of Population Health and Perlmutter Cancer Center, New York, New York, USA
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25
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Li Y, Xiao X, Li J, Byun J, Cheng C, Bossé Y, McKay J, Albanes D, Lam S, Tardon A, Chen C, Bojesen SE, Landi MT, Johansson M, Risch A, Bickeböller H, Wichmann HE, Christiani DC, Rennert G, Arnold S, Goodman G, Field JK, Davies MPA, Shete SS, Le Marchand L, Melander O, Brunnström H, Liu G, Hung RJ, Andrew AS, Kiemeney LA, Shen H, Sun R, Zienolddiny S, Grankvist K, Johansson M, Caporaso N, Teare DM, Hong YC, Lazarus P, Schabath MB, Aldrich MC, Schwartz AG, Gorlov I, Purrington K, Yang P, Liu Y, Han Y, Bailey-Wilson JE, Pinney SM, Mandal D, Willey JC, Gaba C, Brennan P, Amos CI. Genome-wide interaction analysis identified low-frequency variants with sex disparity in lung cancer risk. Hum Mol Genet 2022; 31:2831-2843. [PMID: 35138370 PMCID: PMC9402242 DOI: 10.1093/hmg/ddac030] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 01/14/2022] [Accepted: 01/31/2022] [Indexed: 01/12/2023] Open
Abstract
Differences by sex in lung cancer incidence and mortality have been reported which cannot be fully explained by sex differences in smoking behavior, implying existence of genetic and molecular basis for sex disparity in lung cancer development. However, the information about sex dimorphism in lung cancer risk is quite limited despite the great success in lung cancer association studies. By adopting a stringent two-stage analysis strategy, we performed a genome-wide gene-sex interaction analysis using genotypes from a lung cancer cohort including ~ 47 000 individuals with European ancestry. Three low-frequency variants (minor allele frequency < 0.05), rs17662871 [odds ratio (OR) = 0.71, P = 4.29×10-8); rs79942605 (OR = 2.17, P = 2.81×10-8) and rs208908 (OR = 0.70, P = 4.54×10-8) were identified with different risk effect of lung cancer between men and women. Further expression quantitative trait loci and functional annotation analysis suggested rs208908 affects lung cancer risk through differential regulation of Coxsackie virus and adenovirus receptor gene expression in lung tissues between men and women. Our study is one of the first studies to provide novel insights about the genetic and molecular basis for sex disparity in lung cancer development.
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Affiliation(s)
- Yafang Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Xiangjun Xiao
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jianrong Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Chao Cheng
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec, Department of Molecular Medicine, Laval University, Quebec City G1V 4G5, Canada
| | - James McKay
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon 69372, France
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20850, USA
| | - Stephen Lam
- Department of Integrative Oncology, University of British Columbia, Vancouver, BC V5Z 1L3, Canada
| | - Adonina Tardon
- Public Health Department, University of Oviedo, ISPA and CIBERESP, Asturias 33003, Spain
| | - Chu Chen
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Copenhagen University Hospital, Copenhagen 2600, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2177, Denmark
| | - Maria T Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20850, USA
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon 69372, France
| | - Angela Risch
- Thoraxklinik at University Hospital Heidelberg, Heidelberg 69126, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg 69120, Germany
- University of Salzburg and Cancer Cluster Salzburg, 5020, Austria
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, 37099, Germany
| | - H-Erich Wichmann
- Institute of Medical Statistics and Epidemiology, Technical University Munich, 80333, Germany
| | - David C Christiani
- Departments of Environmental Health and Epidemiology, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa 3436212, Israel
| | - Susanne Arnold
- University of Kentucky, Markey Cancer Center, Lexington, Kentucky 40536, USA
| | - Gary Goodman
- Swedish Cancer Institute, Seattle, WA 98104, USA
| | - John K Field
- Institute of Translational Medicine, University of Liverpool, Liverpool L69 7BE, United Kingdom
| | - Michael P A Davies
- Institute of Translational Medicine, University of Liverpool, Liverpool L69 7BE, United Kingdom
| | - Sanjay S Shete
- Department of Biostatistics, The University of Texas, M.D. Anderson Cancer Center, Houston, TX 77030, USA
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Olle Melander
- Faculty of Medicine, Lund University, Lund 22184, Sweden
| | | | - Geoffrey Liu
- University Health Network- The Princess Margaret Cancer Centre, Toronto, CA ON, M5G 2C1, Canada
| | - Rayjean J Hung
- Luenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto ON, M5G 1X5, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto ON, M5T 3M7, Canada
| | - Angeline S Andrew
- Departments of Epidemiology and Community and Family Medicine, Dartmouth College, Hanover, NH 03755, USA
| | | | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, P.R. China
| | - Ryan Sun
- Department of Biostatistics, The University of Texas, M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå 901 87, Sweden
| | - Mikael Johansson
- Department of Radiation Sciences, Umeå University, Umeå 901 87, Sweden
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20850, USA
| | - Dawn M Teare
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, Washington 99202, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center Nashville, TN 37232, USA
| | - Ann G Schwartz
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI 48201, USA
- Karmanos Cancer Institute, Detroit, MI 48201, USA
| | - Ivan Gorlov
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Ping Yang
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinics Rochester, MN, 55905, USA
| | - Yanhong Liu
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Susan M Pinney
- University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
| | - Diptasri Mandal
- Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA
| | - James C Willey
- College of Medicine and Life Sciences, University of Toledo, Toledo, OH 43614, USA
| | - Colette Gaba
- The University of Toledo College of Medicine, Toledo, OH 43614, USA
| | - Paul Brennan
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon 69372, France
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
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Tamargo CL, Mitchell EP, Wagner L, Simon MA, Carlos RC, Giantonio BJ, Schabath MB, Quinn GP. “I need more knowledge”: Qualitative analysis of oncology providers’ experiences with sexual and gender minority patients. Front Psychol 2022; 13:763348. [PMID: 36046410 PMCID: PMC9421156 DOI: 10.3389/fpsyg.2022.763348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 07/22/2022] [Indexed: 11/13/2022] Open
Abstract
Background While societal acceptance for sexual and gender minority (SGM) individuals is increasing, this group continues to face barriers to quality healthcare. Little is known about clinicians’ experiences with SGM patients in the oncology setting. To address this, a mixed method survey was administered to members of the ECOG-ACRIN Cancer Research Group. Materials and methods We report results from the open-ended portion of the survey. Four questions asked clinicians to describe experiences with SGM patients, reservations in caring for them, suggestions for improvement in SGM cancer care, and additional comments. Data were analyzed using content analysis and the constant comparison method. Results The majority of respondents noted they had no or little familiarity with SGM patients. A minority of respondents noted experience with gay and lesbian patients, but not transgender patients; many who reported experience with transgender patients also noted difficulty navigating the correct use of pronouns. Many respondents also highlighted positive experiences with SGM patients. Suggestions for improvement in SGM cancer care included providing widespread training, attending to unique end-of-life care issues among SGM patients, and engaging in efforts to build trust. Conclusion Clinicians have minimal experiences with SGM patients with cancer but desire training. Training the entire workforce may improve trust with, outreach efforts to, and cancer care delivery to the SGM community.
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Affiliation(s)
- Christina L. Tamargo
- Department of Internal Medicine, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Edith P. Mitchell
- Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Lynne Wagner
- Department of Social Sciences and Health Policy, Wake Forest University, Winston-Salem, NC, United States
| | - Melissa A. Simon
- Department of Obstetrics and Gynecology, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Ruth C. Carlos
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
| | - Bruce J. Giantonio
- Department of Hematology/Oncology, Massachusetts General Hospital, Boston, MA, United States
| | - Matthew B. Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States
- *Correspondence: Matthew B. Schabath,
| | - Gwendolyn P. Quinn
- Department of Obstetrics and Gynecology and Population Health, NYU Grossman School of Medicine, New York, NY, United States
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27
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Umutoni V, Schabath MB, Nyitray AG, Wilkin TJ, Villa LL, Lazcano-Ponce E, Giuliano AR, Sudenga SL. The Association between Smoking and Anal Human Papillomavirus in the HPV Infection in Men Study. Cancer Epidemiol Biomarkers Prev 2022; 31:1546-1553. [PMID: 35653709 PMCID: PMC9350906 DOI: 10.1158/1055-9965.epi-21-1373] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 03/24/2022] [Accepted: 05/24/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Previous studies show an association between smoking and anal cancer. The objective of this study was to assess the association between smoking and anal HPV (human papillomavirus) prevalence, incidence, and persistence in men. METHODS The HPV Infection in Men (HIM) Study is a multinational study that enrolled HIV-negative men. At baseline and follow-up visits, anal specimens were collected. HPV genotyping was assessed by linear array. Prevalence ratios (PR) were used to assess the association between smoking and anal HPV prevalence. Odds ratios (OR) were used to assess the association between smoking and anal HPV incidence and ≥12-months persistence. RESULTS Current smokers have a higher prevalence [adjusted PR (aPR), 1.36; 95% confidence interval (CI), 1.06-1.73) and incidence [adjusted OR (aOR), 1.74; 95% CI, 1.26-2.39] and ≥12-months persistence (aOR, 1.67; 95% CI, 1.19-2.33) of any anal HPV compared with never smokers. There were no differences in the prevalence, incidence, or persistence of anal HPV between former and never smokers. Smoking status was not associated with the prevalence or persistence of anal HPV among men who have sex with men but was associated with higher incidence of HR-HPV. Among men that have sex with women (MSW), current smokers had an increased prevalence and incidence of LR-HPV compared with never smokers. CONCLUSIONS Current smokers had a higher prevalence, persistence, and incidence of HPV compared with never smokers. Further research is needed to assess the role smoking in anal HPV persistence and progression to disease. IMPACT Prevention initiatives should raise awareness about smoking and the risk factor of anal HPV infection and anal cancer.
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Affiliation(s)
- Victoria Umutoni
- Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Matthew B. Schabath
- Center for Infection Research in Cancer, Moffitt Cancer Center, Tampa, FL, USA
| | - Alan G. Nyitray
- Clinical Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | | | - Luisa L. Villa
- School of Medicine, Universidade de São Paulo, São Paulo, Brazil
| | | | - Anna R. Giuliano
- Center for Infection Research in Cancer, Moffitt Cancer Center, Tampa, FL, USA
| | - Staci L. Sudenga
- Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA,Corresponding Author: Staci L. Sudenga, Ph.D., Vanderbilt University Medical Center, 2525 West End Ave, Suite 800, Nashville, TN 37203, Telephone: 615-343-0953,
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28
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Byun J, Han Y, Li Y, Xia J, Long E, Choi J, Xiao X, Zhu M, Zhou W, Sun R, Bossé Y, Song Z, Schwartz A, Lusk C, Rafnar T, Stefansson K, Zhang T, Zhao W, Pettit RW, Liu Y, Li X, Zhou H, Walsh KM, Gorlov I, Gorlova O, Zhu D, Rosenberg SM, Pinney S, Bailey-Wilson JE, Mandal D, de Andrade M, Gaba C, Willey JC, You M, Anderson M, Wiencke JK, Albanes D, Lam S, Tardon A, Chen C, Goodman G, Bojeson S, Brenner H, Landi MT, Chanock SJ, Johansson M, Muley T, Risch A, Wichmann HE, Bickeböller H, Christiani DC, Rennert G, Arnold S, Field JK, Shete S, Le Marchand L, Melander O, Brunnstrom H, Liu G, Andrew AS, Kiemeney LA, Shen H, Zienolddiny S, Grankvist K, Johansson M, Caporaso N, Cox A, Hong YC, Yuan JM, Lazarus P, Schabath MB, Aldrich MC, Patel A, Lan Q, Rothman N, Taylor F, Kachuri L, Witte JS, Sakoda LC, Spitz M, Brennan P, Lin X, McKay J, Hung RJ, Amos CI. Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer. Nat Genet 2022; 54:1167-1177. [PMID: 35915169 PMCID: PMC9373844 DOI: 10.1038/s41588-022-01115-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 05/27/2022] [Indexed: 02/03/2023]
Abstract
To identify new susceptibility loci to lung cancer among diverse populations, we performed cross-ancestry genome-wide association studies in European, East Asian and African populations and discovered five loci that have not been previously reported. We replicated 26 signals and identified 10 new lead associations from previously reported loci. Rare-variant associations tended to be specific to populations, but even common-variant associations influencing smoking behavior, such as those with CHRNA5 and CYP2A6, showed population specificity. Fine-mapping and expression quantitative trait locus colocalization nominated several candidate variants and susceptibility genes such as IRF4 and FUBP1. DNA damage assays of prioritized genes in lung fibroblasts indicated that a subset of these genes, including the pleiotropic gene IRF4, potentially exert effects by promoting endogenous DNA damage.
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Affiliation(s)
- Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Yafang Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Jun Xia
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Erping Long
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Xiangjun Xiao
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, P. R. China
| | - Wen Zhou
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Ryan Sun
- Department of Biostatistics, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec - Université Laval, Department of Molecular Medicine, Laval University, Quebec City, Quebec, Canada
| | - Zhuoyi Song
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Ann Schwartz
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI, USA
- Karmanos Cancer Institute, Detroit, MI, USA
| | - Christine Lusk
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI, USA
- Karmanos Cancer Institute, Detroit, MI, USA
| | | | | | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Wei Zhao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rowland W Pettit
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Yanhong Liu
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Xihao Li
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Hufeng Zhou
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Kyle M Walsh
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Ivan Gorlov
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Olga Gorlova
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Dakai Zhu
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Susan M Rosenberg
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Susan Pinney
- University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | - Diptasri Mandal
- Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | | | - Colette Gaba
- The University of Toledo College of Medicine and Life Sciences, University of Toledo, Toledo, OH, USA
| | - James C Willey
- The University of Toledo College of Medicine and Life Sciences, University of Toledo, Toledo, OH, USA
| | - Ming You
- Center for Cancer Prevention, Houston Methodist Research Institute, Houston, TX, USA
| | | | - John K Wiencke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephan Lam
- Department of Integrative Oncology, BC Cancer, Vancouver, British Columbia, Canada
| | - Adonina Tardon
- Public Health Department, University of Oviedo, ISPA and CIBERESP, Asturias, Spain
| | - Chu Chen
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Stig Bojeson
- Department of Clinical Biochemistry, Herlev Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Thomas Muley
- Division of Cancer Epigenomics, DKFZ - German Cancer Research Center, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), German Center for Lung Research (DZL), Heidelberg, Germany
| | - Angela Risch
- Division of Cancer Epigenomics, DKFZ - German Cancer Research Center, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Biosciences and Medical Biology, Allergy-Cancer-BioNano Research Centre, University of Salzburg, Salzburg, Austria
- Cancer Cluster Salzburg, Salzburg, Austria
| | | | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
| | - David C Christiani
- Department of Epidemiology, Harvard T.H.Chan School of Public Health, Boston, MA, USA
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Susanne Arnold
- University of Kentucky, Markey Cancer Center, Lexington, KY, USA
| | - John K Field
- Roy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Sanjay Shete
- Department of Biostatistics, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | | | | | - Geoffrey Liu
- University Health Network- The Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Angeline S Andrew
- Departments of Epidemiology and Community and Family Medicine, Dartmouth College, Hanover, NH, USA
| | | | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, P. R. China
| | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | - Mikael Johansson
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Angela Cox
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jian-Min Yuan
- UPMC Hillman Cancer Center and Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, WA, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Melinda C Aldrich
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alpa Patel
- American Cancer Society, Atlanta, GA, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Fiona Taylor
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - John S Witte
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Margaret Spitz
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Paul Brennan
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Xihong Lin
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - James McKay
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.
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Kamen CS, Pratt-Chapman ML, Meersman SC, Quinn GP, Schabath MB, Maingi S, Merrill JK, Garrett-Mayer E, Kaltenbaugh M, Schenkel C, Chang S. Sexual Orientation and Gender Identity Data Collection in Oncology Practice: Findings of an ASCO Survey. JCO Oncol Pract 2022; 18:e1297-e1305. [PMID: 35605183 PMCID: PMC9377687 DOI: 10.1200/op.22.00084] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE Lack of collection of sexual orientation and gender identity (SOGI) data in oncology practices limits assessment of sexual and gender minority (SGM) cancer patients' experiences and restricts opportunities to improve health outcomes of SGM patients. Despite national calls for routine SOGI data collection, individual-level and institutional barriers hinder progress. This study aimed to identify these barriers in oncology. METHODS An online survey of ASCO members and others assessed SOGI data collection in oncology practices, institutional characteristics related to SOGI data collection, respondents' attitudes about SOGI data and SGM patients, and respondent demographics. Logistic regression calculated adjusted odds ratios (ORs) and 95% CIs for factors associated with sexual orientation (SO) and gender identity (GI) data collection. RESULTS Less than half of 257 respondents reported institutional SO and GI data collection (40% and 46%, respectively), whereas over a third reported no institutional data collection (34% and 32%, respectively) and the remainder were unsure (21% and 17%, respectively). Most respondents felt that knowing both SO and GI was important for quality care (77% and 85%, respectively). Collection of SO and GI was significantly associated in separate models with leadership support (ORs = 8.01 and 6.02, respectively), having resources for SOGI data collection (ORs = 10.6 and 18.7, respectively), and respondents' belief that knowing patient SO and GI is important (ORs = 4.28 and 2.76, respectively). Themes from qualitative comments mirrored the key factors identified in our quantitative analysis. CONCLUSION Three self-reinforcing factors emerged as critical drivers for collecting SOGI data: leadership support, dedicated resources, and individual respondents' attitudes. Policy mandates, implementation science, and clinical reimbursement are strategies to advance meaningful data collection and use in clinical practice.
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Affiliation(s)
| | - Mandi L Pratt-Chapman
- Department of Medicine, GW Cancer Center, The George Washington University School of Medicine and Health Sciences, Washington, DC
| | | | - Gwendolyn P Quinn
- Departments of OB-GYN, Population Health, Perlmutter Cancer Center, Grossman School of Medicine, New York University, New York City, NY
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Shail Maingi
- Dana-Farber/Brigham and Women's Cancer Center at South Shore Hospital, South Weymouth, MA
| | | | | | | | | | - Shine Chang
- Division of Cancer Prevention and Population Sciences, Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX
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30
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Kamen CS, Pratt-Chapman ML, Meersman SC, Quinn GP, Schabath MB, Maingi S, Merrill JK, Garrett-Mayer E, Kaltenbaugh M, Schenkel C, Chang S. Sexual Orientation and Gender Identity Data Collection in Oncology Practice: Findings of an ASCO Survey. JCO Oncol Pract 2022. [PMID: 35605183 DOI: 10.1200/op.22.00084:10.1200/op.22.00084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2023] Open
Abstract
PURPOSE Lack of collection of sexual orientation and gender identity (SOGI) data in oncology practices limits assessment of sexual and gender minority (SGM) cancer patients' experiences and restricts opportunities to improve health outcomes of SGM patients. Despite national calls for routine SOGI data collection, individual-level and institutional barriers hinder progress. This study aimed to identify these barriers in oncology. METHODS An online survey of ASCO members and others assessed SOGI data collection in oncology practices, institutional characteristics related to SOGI data collection, respondents' attitudes about SOGI data and SGM patients, and respondent demographics. Logistic regression calculated adjusted odds ratios (ORs) and 95% CIs for factors associated with sexual orientation (SO) and gender identity (GI) data collection. RESULTS Less than half of 257 respondents reported institutional SO and GI data collection (40% and 46%, respectively), whereas over a third reported no institutional data collection (34% and 32%, respectively) and the remainder were unsure (21% and 17%, respectively). Most respondents felt that knowing both SO and GI was important for quality care (77% and 85%, respectively). Collection of SO and GI was significantly associated in separate models with leadership support (ORs = 8.01 and 6.02, respectively), having resources for SOGI data collection (ORs = 10.6 and 18.7, respectively), and respondents' belief that knowing patient SO and GI is important (ORs = 4.28 and 2.76, respectively). Themes from qualitative comments mirrored the key factors identified in our quantitative analysis. CONCLUSION Three self-reinforcing factors emerged as critical drivers for collecting SOGI data: leadership support, dedicated resources, and individual respondents' attitudes. Policy mandates, implementation science, and clinical reimbursement are strategies to advance meaningful data collection and use in clinical practice.
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Affiliation(s)
| | - Mandi L Pratt-Chapman
- Department of Medicine, GW Cancer Center, The George Washington University School of Medicine and Health Sciences, Washington, DC
| | | | - Gwendolyn P Quinn
- Departments of OB-GYN, Population Health, Perlmutter Cancer Center, Grossman School of Medicine, New York University, New York City, NY
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Shail Maingi
- Dana-Farber/Brigham and Women's Cancer Center at South Shore Hospital, South Weymouth, MA
| | | | | | | | | | - Shine Chang
- Division of Cancer Prevention and Population Sciences, Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX
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Zhang R, Shen S, Wei Y, Zhu Y, Li Y, Chen J, Guan J, Pan Z, Wang Y, Zhu M, Xie J, Xiao X, Zhu D, Li Y, Albanes D, Landi MT, Caporaso NE, Lam S, Tardon A, Chen C, Bojesen SE, Johansson M, Risch A, Bickeböller H, Wichmann HE, Rennert G, Arnold S, Brennan P, McKay JD, Field JK, Shete SS, Le Marchand L, Liu G, Andrew AS, Kiemeney LA, Zienolddiny-Narui S, Behndig A, Johansson M, Cox A, Lazarus P, Schabath MB, Aldrich MC, Dai J, Ma H, Zhao Y, Hu Z, Hung RJ, Amos CI, Shen H, Chen F, Christiani DC. A Large-Scale Genome-Wide Gene-Gene Interaction Study of Lung Cancer Susceptibility in Europeans With a Trans-Ethnic Validation in Asians. J Thorac Oncol 2022; 17:974-990. [PMID: 35500836 PMCID: PMC9512697 DOI: 10.1016/j.jtho.2022.04.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 04/13/2022] [Accepted: 04/20/2022] [Indexed: 01/12/2023]
Abstract
INTRODUCTION Although genome-wide association studies have been conducted to investigate genetic variation of lung tumorigenesis, little is known about gene-gene (G × G) interactions that may influence the risk of non-small cell lung cancer (NSCLC). METHODS Leveraging a total of 445,221 European-descent participants from the International Lung Cancer Consortium OncoArray project, Transdisciplinary Research in Cancer of the Lung and UK Biobank, we performed a large-scale genome-wide G × G interaction study on European NSCLC risk by a series of analyses. First, we used BiForce to evaluate and rank more than 58 billion G × G interactions from 340,958 single-nucleotide polymorphisms (SNPs). Then, the top interactions were further tested by demographically adjusted logistic regression models. Finally, we used the selected interactions to build lung cancer screening models of NSCLC, separately, for never and ever smokers. RESULTS With the Bonferroni correction, we identified eight statistically significant pairs of SNPs, which predominantly appeared in the 6p21.32 and 5p15.33 regions (e.g., rs521828C6orf10 and rs204999PRRT1, ORinteraction = 1.17, p = 6.57 × 10-13; rs3135369BTNL2 and rs2858859HLA-DQA1, ORinteraction = 1.17, p = 2.43 × 10-13; rs2858859HLA-DQA1 and rs9275572HLA-DQA2, ORinteraction = 1.15, p = 2.84 × 10-13; rs2853668TERT and rs62329694CLPTM1L, ORinteraction = 0.73, p = 2.70 × 10-13). Notably, even with much genetic heterogeneity across ethnicities, three pairs of SNPs in the 6p21.32 region identified from the European-ancestry population remained significant among an Asian population from the Nanjing Medical University Global Screening Array project (rs521828C6orf10 and rs204999PRRT1, ORinteraction = 1.13, p = 0.008; rs3135369BTNL2 and rs2858859HLA-DQA1, ORinteraction = 1.11, p = 5.23 × 10-4; rs3135369BTNL2 and rs9271300HLA-DQA1, ORinteraction = 0.89, p = 0.006). The interaction-empowered polygenetic risk score that integrated classical polygenetic risk score and G × G information score was remarkable in lung cancer risk stratification. CONCLUSIONS Important G × G interactions were identified and enriched in the 5p15.33 and 6p21.32 regions, which may enhance lung cancer screening models.
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Affiliation(s)
- Ruyang Zhang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts; China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Sipeng Shen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts; China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing, People's Republic of China; State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, People's Republic of China
| | - Yongyue Wei
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts; China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Ying Zhu
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Yi Li
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Jiajin Chen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Jinxing Guan
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Zoucheng Pan
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Yuzhuo Wang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, People's Republic of China
| | - Meng Zhu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, People's Republic of China
| | - Junxing Xie
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Xiangjun Xiao
- The Institute for Clinical and Translational Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Dakai Zhu
- The Institute for Clinical and Translational Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Yafang Li
- The Institute for Clinical and Translational Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephen Lam
- Department of Medicine, British Columbia Cancer Agency, University of British Columbia, Vancouver, Canada
| | - Adonina Tardon
- Faculty of Medicine, University of Oviedo and CIBERESP, Oviedo, Spain
| | - Chu Chen
- Department of Epidemiology, University of Washington School of Public Health, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Angela Risch
- Department of Biosciences and Cancer Cluster Salzburg, University of Salzburg, Salzburg, Austria
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg August University Göttingen, Göttingen, Germany
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians University, Munich, Germany
| | - Gadi Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Carmel, Haifa, Israel
| | - Susanne Arnold
- Markey Cancer Center, University of Kentucky, Lexington, Kentucky
| | - Paul Brennan
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - James D McKay
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - John K Field
- Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Sanjay S Shete
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Angeline S Andrew
- Department of Epidemiology, Department of Community and Family Medicine, Dartmouth Geisel School of Medicine, Hanover, New Hampshire
| | - Lambertus A Kiemeney
- Department for Health Evidence, Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Annelie Behndig
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | - Angela Cox
- Department of Oncology and Metabolism, The Medical School, University of Sheffield, Sheffield, United Kingdom
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, Washington
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Melinda C Aldrich
- Department of Thoracic Surgery and Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Juncheng Dai
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, People's Republic of China
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, People's Republic of China
| | - Yang Zhao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Zhibin Hu
- China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing, People's Republic of China; Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, People's Republic of China
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Christopher I Amos
- The Institute for Clinical and Translational Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Hongbing Shen
- China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing, People's Republic of China; Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, People's Republic of China
| | - Feng Chen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing, People's Republic of China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, People's Republic of China.
| | - David C Christiani
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts; Pulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
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Quinn GP, Schabath MB. Quality of Life in Underrepresented Cancer Populations. Cancers (Basel) 2022; 14:cancers14143417. [PMID: 35884476 PMCID: PMC9325309 DOI: 10.3390/cancers14143417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 07/11/2022] [Indexed: 02/05/2023] Open
Abstract
This series of six articles (five original articles and one review) is presented by international leaders in health disparities research [...]
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Affiliation(s)
- Gwendolyn P. Quinn
- Department of Obstetrics and Gynecology, Grossman School of Medicine, New York, NY 10016, USA
- Correspondence:
| | - Matthew B. Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA;
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Wood DE, Kazerooni EA, Aberle D, Berman A, Brown LM, Eapen GA, Ettinger DS, Ferguson JS, Hou L, Kadaria D, Klippenstein D, Kumar R, Lackner RP, Leard LE, Lennes IT, Leung ANC, Mazzone P, Merritt RE, Midthun DE, Onaitis M, Pipavath S, Pratt C, Puri V, Raz D, Reddy C, Reid ME, Sandler KL, Sands J, Schabath MB, Studts JL, Tanoue L, Tong BC, Travis WD, Wei B, Westover K, Yang SC, McCullough B, Hughes M. NCCN Guidelines® Insights: Lung Cancer Screening, Version 1.2022. J Natl Compr Canc Netw 2022; 20:754-764. [PMID: 35830884 DOI: 10.6004/jnccn.2022.0036] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The NCCN Guidelines for Lung Cancer Screening recommend criteria for selecting individuals for screening and provide recommendations for evaluation and follow-up of lung nodules found during initial and subsequent screening. These NCCN Guidelines Insights focus on recent updates to the NCCN Guidelines for Lung Cancer Screening.
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Affiliation(s)
- Douglas E Wood
- Fred Hutchinson Cancer Research Center/Seattle Cancer Care Alliance
| | | | | | - Abigail Berman
- Abramson Cancer Center at the University of Pennsylvania
| | | | | | | | | | - Lifang Hou
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University
| | - Dipen Kadaria
- St. Jude Children's Research Hospital/The University of Tennessee Health Science Center
| | | | | | | | | | | | | | - Peter Mazzone
- Case Comprehensive Cancer Center/University Hospitals Seidman Cancer Center and Cleveland Clinic Taussig Cancer Institute
| | - Robert E Merritt
- The Ohio State University Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute
| | | | - Mark Onaitis
- Fred Hutchinson Cancer Research Center/Seattle Cancer Care Alliance
| | | | | | - Varun Puri
- Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine
| | - Dan Raz
- City of Hope National Medical Center
| | | | | | | | - Jacob Sands
- Dana-Farber/Brigham and Women's Cancer Center
| | | | | | | | | | | | | | | | - Stephen C Yang
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins
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Yang MJ, Pérez-Morales J, Miller JD, Simmons VN, Schabath MB. Abstract 22: Sexual and gender minority patients report psychosocial concerns and low quality of life entering cancer treatment. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Prior studies have suggested that underserved and minority populations experience psychosocial concerns and low quality of life (QoL) regarding their cancer care experience; however, presently there are limited data regarding psychosocial concerns and QoL among sexual and gender minority (SGM) populations (i.e., LGBTQ). Given the significantly higher emotional difficulties among SGM cancer patients and adverse impact of psychosocial vulnerabilities on patient outcomes, understanding of unique concerns related to physical/emotional health and QoL among SGM cancer patients is an unmet need. The current study analyzed the association between psychosocial concerns and QoL by SGM status.
Methods: Participants (N=70,312) were cancer patients who completed a standard-of-care electronic patient questionnaire (EPQ) during their initial visits at the Moffitt Cancer Center. The EPQ captures patient-reported information on demographics (including sexual orientation and gender identity [SOGI]), medical history, family cancer history, lifestyle factors, use of complementary and alternative medicine, and QoL. The SOGI questions were used to identify SGM and non-SGM patients. The outcome variables were concerns in (1) having someone who can help the patient during treatment, (2) interference with ability to seek care (e.g., transportation, financial), (3) problems with work or other regular activities due to physical/emotional health and pain over the past 4 weeks, and (4) perceived general health. Pearson’s Chi-Square test and ANOVA were utilized; significance was determined by p<0.05.
Results: Approximately 2.3% of the population self-identified as an SGM. SGM vs. non-SGM patients reported significantly greater concerns in having someone who can help the patient (4.4% vs 2.7%; p<.001), interference with ability to seek care (21.8% vs 16.6%; p<.001), and reported having accomplished less than one would like (36.6% vs 27.8%; p<.001), and engaged in activities less carefully than usual (23.1% vs 18.2%; p<.001) as a result of emotional problems. Further, SGM vs. non-SGM patients reported significantly greater interference due to pain and overall physical/emotional problems (p<.001) and marginally significant worse perceived general health (p=.060). Daily interference due to physical health did not differ between SGM and non-SGM patients.
Discussion: These data suggest that SGM cancer patients compared to non-SGM cancer patients are reporting less psychosocial resources and lower QoL. These results add to the existing literature by elucidating potential difficulties in cancer treatment and preexisting interference due to emotional difficulties and pain among SGM cancer patients with heterogeneous cancer types. Further research is warranted in the short- and long-term impact of such concerns on cancer outcomes and potential need for early intervention.
Citation Format: Min-Jeong Yang, Jaileene Pérez-Morales, Jarred D. Miller, Vani N. Simmons, Matthew B. Schabath. Sexual and gender minority patients report psychosocial concerns and low quality of life entering cancer treatment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 22.
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Perez-Morales J, Leitzinger CMC, Sinha SK, McGettigan MJ, Jeong DK, Stringfield O, Abdala M, Raghunand N, Gillies RJ, Chern JY, Peres LC, Schabath MB. Abstract 3218: Radiomic biomarkers to optimize treatment decision and predict patient outcomes in serous ovarian carcinoma. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-3218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: There are two first-line treatment recommendations for advanced ovarian cancer: i) upfront cytoreductive debulking followed by chemotherapy and ii) neoadjuvant chemotherapy prior to surgical debulking. The choice between these two treatment strategies is controversial as there are no standardized guidelines for clinical decision support. As such, there remains a critical unmet need to identity biomarkers to personalize the most effective treatment strategies. The primary objective of this study is to identify and validate radiomic biomarkers that predict treatment response among patients with high-grade serous ovarian cancer treated with upfront surgical debulking.
Methods: Intratumoral radiomic features (n=308) were extracted from pre-treatment contrast-enhanced CT images; analyses were conducted to remove correlated, non-stable, and non-reproducible features. Patients treated with upfront surgery (N=182) were split into training (N=91) and test (N=91) cohorts and a cohort of patients treated with upfront neoadjuvant (N=116) was used to determine if the radiomic features were prognostic or predictive. Overall (OS) and progression-free survival (PFS) were the main endpoints. Classification and Regression Tree analysis was used to identity the most informative radiomic features in the training cohort, which were then analyzed in the test cohort and the upfront neoadjuvant cohort.
Results: Decision tree analysis identified a volumetric feature, ROI volume center of mass (CoM) in X direction, as the most informative radiomic feature which stratified upfront surgery patients into high- and low-risk. In the training cohort, high-risk patients were associated with significantly worse OS versus low-risk patients (HR=2.01; 95% CI 1.07-3.77 vs. 1.00 and 5-year OS=39.9% vs. 56.1%, respectively; log-rank p-value=0.03). In the test cohort, the high- vs. low-risk patients were also associated with poor OS (HR=2.23; 95% CI 1.19-4.17 vs. 1.00 and 5-year OS=23.3% vs. 51.3%, respectively; log-rank p-value=0.01). This radiomic feature was not associated with OS among patients with upfront neoadjuvant (HR=1.23; 95% CI 0.73-2.07 vs. 1.00 and 5-year OS=23.9% vs. 36.6%, respectively; log-rank p-value=0.44). Similar findings were observed for PFS.
Conclusion: Utilizing standard-of-care imaging, we identified and validated a predictive radiomic feature associated with outcomes among patients with high-grade serous ovarian cancer treated with upfront surgical debulking but not among patients treated with neoadjuvant chemotherapy. This radiomic biomarker, which describes the location of center of mass inside the tumor in pixels in the x-direction, could be potentially utilized as clinical decision support to guide first-line treatment options. This study was generously funded by a Miles for Moffitt pilot grant.
Citation Format: Jaileene Perez-Morales, Christelle M. Colin Leitzinger, Sweta K. Sinha, Melissa J. McGettigan, Daniel K. Jeong, Olya Stringfield, Mahmoud Abdala, Natarajan Raghunand, Robert J. Gillies, Jing-Yi Chern, Lauren C. Peres, Matthew B. Schabath. Radiomic biomarkers to optimize treatment decision and predict patient outcomes in serous ovarian carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3218.
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Affiliation(s)
| | | | - Sweta K. Sinha
- 1H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | | | - Daniel K. Jeong
- 1H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | | | - Mahmoud Abdala
- 1H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | | | | | - Jing-Yi Chern
- 1H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Lauren C. Peres
- 1H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
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Schabath MB, Perez-Morales J, Hernandez EN, Miller JD, Quinn GP, Seay J. Abstract 3635: A randomized trial to examine the effectiveness of an LGBT cultural sensitivity training for oncologists: The COLORS trial. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-3635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Our group developed and piloted the Curriculum for Oncologists on LGBT populations to Optimize Relevance and Skills (COLORS), an interactive web-based LGBT cultural sensitivity training for oncologists. Building on our formative pilot work, in February 2021 we launched a randomized trial to compare the effectiveness of the oncology-specific COLORS training to a general LGBT healthcare cultural sensitivity training. We report here on pre- and post-assessments of this trial.
Methods: From the AMA Masterfile we obtained names and mailing addresses for 5,000 practicing oncologists that were randomly selected for equal distributions across the 9 U.S. Census Divisions. From February to May 2021, we mailed FedEx envelopes to these oncologists that included a invitation letter and information to register for the trial. Using REDCap, oncologists registered, completed a pre-training assessment, were randomized and emailed instructions on how to complete their assigned training (COLORS training or a publicly available web-based LGBT comparison training), and then completed a post-training assessment. The pre- and post-training assessments include measures for knowledge, attitudes (Modern Homonegativity Scale [MHS] and Modified Attitudes Toward LGBT Patients Scale [ATLPS-M], and practice behaviors (Gay Affirmative Practice [GAP] Scale)
Results: As of October 2021, 224 oncologists were enrolled, 201 completed the pre-training and were randomized, and 138 completed the post-training assessment. Among those randomized to COLORS, there were significant decreases from pre- to post-training (median: 24 [IQR 19-30] vs. 22.5 [16-28.5]; p<0.01), indicating a shift toward more positive attitudes, and no significant difference from pre- to post-training for LGBT comparison training (median: 22.5 [IQR 16-29] vs. 22 [14-27]; p=0.98). Both trainings yielded significant (p<0.01) increases from pre- to post-training for the GAP scale, indicating an increase in LGBT-affirming practice behaviors. However, the delta was higher for COLORS vs. LGBT comparison training (Δ 4 vs. Δ 2, respectively). Likewise, both trainings yielded significant (p<0.01) improvements in knowledge from pre- to post-training. Neither training yielded trainings yielded significant differences from pre- to post-training for ATLPS-M.
Conclusion: Results from two prior single-arm trials and now this RCT demonstrate that the COLORS training is effective in improving knowledge, attitudes, and affirming clinical practices related to the care of LGBT patients. This work is generously funded by the Bristol Myers Squibb (BMS) Foundation and BMS Company.
Citation Format: Matthew B. Schabath, Jaileene Perez-Morales, Eryk N. Hernandez, Jarred D. Miller, Gwendolyn P. Quinn, Julia Seay. A randomized trial to examine the effectiveness of an LGBT cultural sensitivity training for oncologists: The COLORS trial [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3635.
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Affiliation(s)
| | | | | | | | | | - Julia Seay
- 3Naval Health Research Center, San Diego, CA
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Alpert AB, Scout NFN, Schabath MB, Adams S, Obedin-Maliver J, Safer JD. Gender- and Sexual Orientation- Based Inequities: Promoting Inclusion, Visibility, and Data Accuracy in Oncology. Am Soc Clin Oncol Educ Book 2022; 42:1-17. [PMID: 35658501 DOI: 10.1200/edbk_350175] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Sexual and gender minority (SGM) people, including agender, asexual, bisexual, gay, gender diverse, genderqueer, genderfluid, intersex, lesbian, nonbinary, pansexual, queer, and transgender people, comprise approximately 10% or more of the U.S. population. Thus, most oncologists see SGM patients whether they know it or not. SGM people experience stigma and structural discrimination that lead to cancer disparities. Because of the lack of systematic and comprehensive data collection, data regarding SGM cancer incidence, outcomes, and treatment responses are limited. Collection of data regarding sexual orientation, gender identity, transgender identity and/or experience, anatomy, and serum hormone concentrations in oncology settings would drastically increase collective knowledge about the impact of stigma and biologic markers on cancer outcomes. Increasing the safety of oncology settings for SGM people will require individual, institutional, and systems changes that will likely improve oncologic care for all patients.
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Affiliation(s)
- Ash B Alpert
- Center for Gerontology and Healthcare Research, Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI.,Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY
| | - N F N Scout
- National LGBT Cancer Network, Providence, RI
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Spencer Adams
- School of Interdisciplinary Health Programs, Western Michigan University, Kalamazoo, MI
| | - Juno Obedin-Maliver
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Palo Alto, CA
| | - Joshua D Safer
- Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York, NY.,Mount Sinai Center for Transgender Medicine and Surgery, New York, NY
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Mu W, Schabath MB, Gillies RJ. Images Are Data: Challenges and Opportunities in the Clinical Translation of Radiomics. Cancer Res 2022; 82:2066-2068. [DOI: 10.1158/0008-5472.can-22-1183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 04/08/2022] [Indexed: 11/16/2022]
Abstract
Abstract
Radiomics provides an opportunity to uncover image-based biomarkers through the conversion and analysis of standard-of-care medical images into high-dimensional mineable data. In the last decade, thousands of studies have been published on different clinical applications, novel analysis algorithms, and the stability and reproducibility of radiomics. Despite this, interstudy comparisons are challenging because there is not a generally accepted analytic and reporting standard. The ability to compare and combine results from multiple studies using interoperative platforms is an essential component on the path toward clinical application. The NCI supported study from van Griethuysen and colleagues published in Cancer Research in 2017 proposed PyRadiomics: an open-source radiomics quantification platform for standardized image processing. Since released, it has become a frequently utilized analytic tool in the radiomics literature and has accelerated the capability of combining data from different studies. The subsequent challenge will be the design of multicenter trials with a fixed and immutable version of software, which is currently open-source, readily modified and freely distributed. Generally, this is accomplished with a commercial partner to navigate the regulatory processes.
See related article by van Griethuysen and colleagues, Cancer Res 2017;77:e104–7.
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Affiliation(s)
- Wei Mu
- 1School of Engineering Medicine, Beihang University, Beijing, P.R. China
| | - Matthew B. Schabath
- 2Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Robert J. Gillies
- 3Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
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Schabath MB, Karpel HC, Sampson A, Charifson M, Fein L, Murphy D, Sutter M, Tamargo C, Quinn G. Medical student readiness to treat LGBTQ patients. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.11030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
11030 Background: The lesbian, gay, bisexual, transgender and queer (LGBTQ) community experiences cancer health disparities. It is thus imperative that medical trainees receive training in the care of LGBTQ populations. Identifying gaps in trainees’ knowledge and comfort in providing care for this population is important in preparing future physicians. Methods: A Likert-scale survey of US medical students at three institutions assessed attitudes, comfort and knowledge in providing care for LGBTQ patients. Results were quantified with descriptive and stratified analyses. Exploratory factor analysis found four factors in which attitude summary measure (ASM) scores were calculated; lower values indicate more agreeability with given attitude items. Total knowledge scores were calculated with higher values indicating greater knowledge. Results: Of 300 medical students who completed the survey, the majority were female (55.7%), white (54.7%), and heterosexual (64.3%). The majority of students felt comfortable (strongly agree/agree) participating in the care of patients who identify as lesbian (94.3%), gay (96.0%), and bisexual (96.3%); this percentage dropped to 82.3% for non-binary and 71.3% for transgender patients. Only 27.0% of students reported confidence in their knowledge of health needs of transgender patients. LGBTQ self-identification, percent of core rotations completed, and having LGBTQ friends/family were significantly associated with various ASM subscales (Table 1). Knowledge questions had high percentages of “neutral” responses, and students who identified as LGBTQ had significantly higher total knowledge scores. Conclusions: Overall, medical students feel comfortable and willing to provide care for LGBTQ patients. However, as in our prior study in oncologists, there is limited knowledge about specific LGBTQ health and cancer needs. More education and training in the needs of transgender and non-binary patients is indicated. [Table: see text]
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Affiliation(s)
| | - Hannah C Karpel
- New York University Grossman School of Medicine, New York, NY
| | | | | | - Lydia Fein
- University of Miami Miller School of Medicine, Miami, FL
| | | | - Megan Sutter
- New York University Grossman School of Medicine, New York, NY
| | | | - Gwendolyn Quinn
- New York University Grossman School of Medicine, New York, NY
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Au C, Samuelson A, Schabath MB, Mitchell EP. Medical student clinical cultural awareness in cancer care of sexual and gender minorities. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.11003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
11003 Background: Health disparities in lesbian, gay, bisexual, transgender, and queer/questioning (LGBTQ+), or sexual and gender minorities (SGMs), patients are a known in health care. SGMs have higher cancer risk but lower rates of screenings, resulting in a higher likelihood of late-stage disease. Relevant gaps in medical school curricula regarding SGMs must be addressed to prevent these disparities. The purpose of this study is to evaluate medical students’ (MS) clinical cultural awareness in cancer care of SGM patients. Methods: This study was a cross-sectional survey distributed to medical degree students actively enrolled at a large urban academic center. This survey was adapted from a study by Schabath et. Al. The survey had 38 questions on demographics, attitudes, and knowledge of SGM topics. Questions were scored on a Likert scale from ‘strongly disagree’ to ‘strongly agree’ with ‘don’t know’ and ‘prefer not to answer’ as options. Results are reported using descriptive statistics. Results: There were 238 responses. Most respondents were white (63.9%), cis-gender female (57.6%), and heterosexual (78.6%). Distribution according to year are as follows: MS1 36.6%, MS2 14.7%, MS3 27.3%, and MS4 19.3%. Attitudes are listed in the table below. Four of the seven questions on knowledge had “Don’t Know” as the most common response. Notably, 47.1% of respondents did not know if screening gay/bisexual men with anal pap is associated with increased life expectancy. Students were interested in learning guidelines regarding SGM cancer screening and considerations for patients who are on hormone therapy. Conclusions: While most medical students are comfortable treating LGBTQ+ patients, most are not confident in their knowledge. This difference is most profound in knowledge of transgender patients. Schools must consider longitudinal education in SGM topics to improve student knowledge to produce confident and competent providers. Participants Responses to Attitude Items. [Table: see text]
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Affiliation(s)
- Cherry Au
- Rush University Medical Center, Chicago, IL
| | - Annika Samuelson
- Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA
| | | | - Edith P. Mitchell
- Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA
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Schabath MB, Perez-Morales J, Hernandez EN, Miller JD, Seay J, Quinn GP. Development and assessment of the effectiveness of an LGBT cultural sensitivity training for oncologists: The COLORS training. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.11000] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
11000 Background: Published studies report oncologists have limited knowledge about LGBT health and cancer needs but also report high interest in receiving education regarding the unique health needs of LGBT patients with cancer. As such, our group developed the Curriculum for Oncologists on LGBT populations to Optimize Relevance and Skills (COLORS), an interactive web-based LGBT cultural sensitivity training for oncologists that focused on focused on improving knowledge and communication skill-building. We report here on the results from two single-arm feasibility/acceptability trials and one randomized pragmatic trial (RPT) demonstrating effectiveness of the COLORS training. Methods: The first single-arm trial included 44 oncologists from three cancer centers in Florida and the second single-arm trial included 50 oncology fellows recruited through ASCO. The RPT included 225 oncologists randomly selected for equal distribution across the U.S., and participants were randomly assigned to either the COLORS training or a publicly available, web-based LGBT comparison training. Each of these studies included pre- and post-training assessments of LGBT-related knowledge, attitudes, and affirming practices. The RCT included a 3-month follow-up assessment to gauge retention of LGBT-affirming knowledge, attitudes, and practices over time. Results: Both single arm trials demonstrated that the COLORS training was feasible, acceptable, and results from the pre- and post-training assessments suggested the training improved knowledge, attitudes, and affirming practice behaviors. In the RPT, those randomized to COLORS demonstrated significant improvements in LGBT-related attitudes pre- to post-training (p < 0.01), and no significant changes in attitudes were observed among those randomized to the comparison training (p = 0.98). Both trainings yielded significant (p < 0.01) increases from pre- to post-training in LGBT-affirming practice behaviors. Likewise, both trainings yielded significant (p < 0.01) improvements in knowledge from pre- to post-training. Similar significant findings were observed when we analyzed the 3-month follow-up assessment. Conclusions: Results from the prior single-arm trials and the current RCT demonstrate that the COLORS training is effective in improving oncologist knowledge, attitudes, and affirming clinical practices related to the care of LGBT patients with cancer. Part of this work was funded by the Bristol Myers Squibb (BMS) Foundation and BMS Company.
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Affiliation(s)
| | | | | | | | - Julia Seay
- Naval Health Research Center, San Diego, CA
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Pérez-Morales J, Lu H, Mu W, Tunali I, Kutuk T, Eschrich SA, Balagurunathan Y, Gillies RJ, Schabath MB. Volume doubling time and radiomic features predict tumor behavior of screen-detected lung cancers. Cancer Biomark 2022; 33:489-501. [DOI: 10.3233/cbm-210194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND: Image-based biomarkers could have translational implications by characterizing tumor behavior of lung cancers diagnosed during lung cancer screening. In this study, peritumoral and intratumoral radiomics and volume doubling time (VDT) were used to identify high-risk subsets of lung patients diagnosed in lung cancer screening that are associated with poor survival outcomes. METHODS: Data and images were acquired from the National Lung Screening Trial. VDT was calculated between two consequent screening intervals approximately 1 year apart; peritumoral and intratumoral radiomics were extracted from the baseline screen. Overall survival (OS) was the main endpoint. Classification and Regression Tree analyses identified the most predictive covariates to classify patient outcomes. RESULTS: Decision tree analysis stratified patients into three risk-groups (low, intermediate, and high) based on VDT and one radiomic feature (compactness). High-risk patients had extremely poor survival outcomes (hazard ratio [HR] = 8.15; 25% 5-year OS) versus low-risk patients (HR = 1.00; 83.3% 5-year OS). Among early-stage lung cancers, high-risk patients had poor survival outcomes (HR = 9.07; 44.4% 5-year OS) versus the low-risk group (HR = 1.00; 90.9% 5-year OS). For VDT, the decision tree analysis identified a novel cut-point of 279 days and using this cut-point VDT alone discriminated between aggressive (HR = 4.18; 45% 5-year OS) versus indolent/low-risk cancers (HR = 1.00; 82.8% 5-year OS). CONCLUSION: We utilized peritumoral and intratumoral radiomic features and VDT to generate a model that identify a high-risk group of screen-detected lung cancers associated with poor survival outcomes. These vulnerable subset of screen-detected lung cancers may be candidates for more aggressive surveillance/follow-up and treatment, such as adjuvant therapy.
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Affiliation(s)
- Jaileene Pérez-Morales
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Hong Lu
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Wei Mu
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Ilke Tunali
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
- Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey
| | - Tugce Kutuk
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Steven A. Eschrich
- Department of Bioinformatics and Biostatistics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Yoganand Balagurunathan
- Department of Bioinformatics and Biostatistics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Robert J. Gillies
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Matthew B. Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
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Seay J, Hernandez EN, Pérez-Morales J, Quinn GP, Schabath MB. Assessing the effectiveness of a LGBT cultural competency training for oncologists: study protocol for a randomized pragmatic trial. Trials 2022; 23:314. [PMID: 35428352 PMCID: PMC9013168 DOI: 10.1186/s13063-022-06274-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 04/02/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND LGBT patients may have unique psychosocial cancer care needs, and healthcare providers should have knowledge and understanding of these unique needs to effectively address disparities through the delivery of personalized healthcare. As such, our group developed and piloted a web-based LGBT cultural competency training designed specifically for oncologists called the Curriculum for Oncologists on LGBT populations to Optimize Relevance and Skills (COLORS). We designed a randomized pragmatic trial for oncologists to compare the effectiveness of the COLORS training versus a general online LGBT cultural competency training in improving LGBT-related knowledge, attitudes, and clinical practices. METHODS/DESIGN Study procedures include an 8-step approach for recruitment, randomization, retention, and completion of the interventions. Oncologists of any subspecialty who are currently practicing physicians will be identified from the American Medical Association Masterfile. Approximately 5000 oncologists will be sent a FedEx envelope with an invitation letter and study timeline. Electronic consent is obtained using a secure REDCap (Research Electronic Data Capture) portal hosted at the Moffitt Cancer Center (Tampa, FL) where the oncologists will complete the eligibility questionnaire, pre-training assessments, and then will be randomized to complete the COLORS training or an online general healthcare training offered by the National LGBT Health Education Center. Effectiveness of both trainings will be assessed utilizing self-reported measures of LGBT-related knowledge, attitudes, and affirming clinical practices. The measures will be collected before and directly after training completion, as well as 3-month post-training completion. The primary outcomes are changes in knowledge, attitudes, and practice behaviors regarding LGBT cancer patients from pre-test to post-test training in the COLORS training vs. the comparison training. DISCUSSION The overarching premise of this trial is to assess the effectiveness of the COLORS cultural competency training program. If successful, among oncologists who completed the COLORS training should yield statistically significantly improvements in knowledge, attitudes, and affirming practice.
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Affiliation(s)
- Julia Seay
- grid.415874.b0000 0001 2292 6021Naval Health Research Center, San Diego, CA 92152 USA
| | - Eryk N. Hernandez
- grid.468198.a0000 0000 9891 5233Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, 12902 Magnolia Drive MRC-CANCONT, Tampa, FL 33612 USA
| | - Jaileene Pérez-Morales
- grid.468198.a0000 0000 9891 5233Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, 12902 Magnolia Drive MRC-CANCONT, Tampa, FL 33612 USA
| | - Gwendolyn P. Quinn
- grid.137628.90000 0004 1936 8753Department of Obstetrics and Gynecology, Grossman School of Medicine, New York, NY 10016 USA
| | - Matthew B. Schabath
- grid.468198.a0000 0000 9891 5233Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, 12902 Magnolia Drive MRC-CANCONT, Tampa, FL 33612 USA ,grid.468198.a0000 0000 9891 5233Department of Thoracic Oncology, H. Lee Moffitt Cancer Center & Research Institute, 12902 Magnolia Drive MRC-CANCONT, Tampa, FL 33612 USA
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Lee DH, Hawk F, Seok K, Gliksman M, Emole J, Rhea IB, Viganego F, Welter-Frost A, Armanious M, Shah B, Chavez JC, Pinilla-Ibarz J, Schabath MB, Fradley M. Association between ibrutinib treatment and hypertension. Heart 2022; 108:445-450. [PMID: 34210750 PMCID: PMC9809112 DOI: 10.1136/heartjnl-2021-319110] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 06/03/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Ibrutinib is a tyrosine kinase inhibitor most commonly associated with atrial fibrillation. However, additional cardiotoxicities have been identified, including accelerated hypertension. The incidence and risk factors of new or worsening hypertension following ibrutinib treatment are not as well known. METHODS We conducted a retrospective study of 144 patients diagnosed with B cell malignancies treated with ibrutinib (n=93) versus conventional chemoimmunotherapy (n=51) and evaluated their effects on blood pressure at 1, 2, 3 and 6 months after treatment initiation. Descriptive statistics were used to compare baseline characteristics for each treatment group. Fisher's exact test was used to identify covariates significantly associated with the development of hypertension. Repeated measures analyses were conducted to analyse longitudinal blood pressure changes. RESULTS Both treatments had similar prevalence of baseline hypertension at 63.4% and 66.7%, respectively. There were no differences between treatments by age, sex and baseline cardiac comorbidities. Both systolic and diastolic blood pressure significantly increased over time with ibrutinib compared with baseline, whereas conventional chemoimmunotherapy was not associated with significant changes in blood pressure. Baseline hypertensive status did not affect the degree of blood pressure change over time. A significant increase in systolic blood pressure (defined as more than 10 mm Hg) was noted for ibrutinib (36.6%) compared with conventional chemoimmunotherapy (7.9%) at 1 month after treatment initiation. Despite being hypertensive at follow-up, 61.2% of patients who were treated with ibrutinib did not receive adequate blood pressure management (increase or addition of blood pressure medications). Within the ibrutinib group, of patients who developed more than 20 mm Hg increase in systolic blood pressure, only 52.9% had hypertension management changes. CONCLUSIONS Ibrutinib is associated with the development of hypertension and worsening of blood pressure. Cardiologists and oncologists must be aware of this cardiotoxicity to allow timely management of blood pressure elevations.
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Affiliation(s)
- Dae Hyun Lee
- Division of Cardiovascular Medicine, University of South Florida College of Medicine, Tampa, Florida, USA
| | - Fahad Hawk
- Division of Cardiovascular Medicine, University of South Florida College of Medicine, Tampa, Florida, USA
| | - Kieun Seok
- Department of Internal Medicine, University of South Florida College of Medicine, Tampa, Florida, USA
| | - Matthew Gliksman
- University of South Florida Morsani College of Medicine, Tampa, Florida, USA
| | - Josephine Emole
- Department of Medical Oncology, Henry Ford Health System, Detroit, Michigan, USA
| | - Isaac B Rhea
- Cardio-Oncology Division, University of Tennessee Health Science Center Bookstore, Memphis, Tennessee, USA
| | - Federico Viganego
- Cardio-Oncology Program, University of South Florida College of Medicine, Tampa, Florida, USA
| | - Allan Welter-Frost
- Division of Cardiovascular Medicine, University of South Florida College of Medicine, Tampa, Florida, USA
| | - Merna Armanious
- Division of Cardiovascular Medicine, University of South Florida College of Medicine, Tampa, Florida, USA
| | - Bijal Shah
- Malignant Hematology Program, Moffitt Cancer Center, Tampa, Florida, USA
| | - Juliio C Chavez
- Malignant Hematology Program, Moffitt Cancer Center, Tampa, Florida, USA
| | | | - Matthew B Schabath
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Michael Fradley
- Cardio-Oncology Center of Excellence, Division of Cardiology, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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Schmid S, Jiang M, Brown MC, Fares A, Garcia M, Soriano J, Dong M, Thomas S, Kohno T, Leal LF, Diao N, Xie J, Wang Z, Zaridze D, Holcatova I, Lissowska J, Świątkowska B, Mates D, Savic M, Wenzlaff AS, Harris CC, Caporaso NE, Ma H, Fernandez-Tardon G, Barnett MJ, Goodman G, Davies MP, Pérez-Ríos M, Taylor F, Duell EJ, Schoettker B, Brenner H, Andrew A, Cox A, Ruano-Ravina A, Field JK, Le Marchand L, Wang Y, Chen C, Tardon A, Shete S, Schabath MB, Shen H, Landi MT, Ryan BM, Schwartz AG, Qi L, Sakoda LC, Brennan P, Yang P, Zhang J, Christiani DC, Reis RM, Shiraishi K, Hung RJ, Xu W, Liu G. Accounting for EGFR Mutations in Epidemiologic Analyses of Non-Small Cell Lung Cancers: Examples Based on the International Lung Cancer Consortium Data. Cancer Epidemiol Biomarkers Prev 2022; 31:679-687. [PMID: 35027437 PMCID: PMC9063819 DOI: 10.1158/1055-9965.epi-21-0747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 10/28/2021] [Accepted: 01/05/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Somatic EGFR mutations define a subset of non-small cell lung cancers (NSCLC) that have clinical impact on NSCLC risk and outcome. However, EGFR-mutation-status is often missing in epidemiologic datasets. We developed and tested pragmatic approaches to account for EGFR-mutation-status based on variables commonly included in epidemiologic datasets and evaluated the clinical utility of these approaches. METHODS Through analysis of the International Lung Cancer Consortium (ILCCO) epidemiologic datasets, we developed a regression model for EGFR-status; we then applied a clinical-restriction approach using the optimal cut-point, and a second epidemiologic, multiple imputation approach to ILCCO survival analyses that did and did not account for EGFR-status. RESULTS Of 35,356 ILCCO patients with NSCLC, EGFR-mutation-status was available in 4,231 patients. A model regressing known EGFR-mutation-status on clinical and demographic variables achieved a concordance index of 0.75 (95% CI, 0.74-0.77) in the training and 0.77 (95% CI, 0.74-0.79) in the testing dataset. At an optimal cut-point of probability-score = 0.335, sensitivity = 69% and specificity = 72.5% for determining EGFR-wildtype status. In both restriction-based and imputation-based regression analyses of the individual roles of BMI on overall survival of patients with NSCLC, similar results were observed between overall and EGFR-mutation-negative cohort analyses of patients of all ancestries. However, our approach identified some differences: EGFR-mutated Asian patients did not incur a survival benefit from being obese, as observed in EGFR-wildtype Asian patients. CONCLUSIONS We introduce a pragmatic method to evaluate the potential impact of EGFR-status on epidemiological analyses of NSCLC. IMPACT The proposed method is generalizable in the common occurrence in which EGFR-status data are missing.
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Affiliation(s)
- Sabine Schmid
- The Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada
- Department of Medical Oncology, Cantonal Hospital St.Gallen, St.Gallen, Switzerland
| | - Mei Jiang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - M. Catherine Brown
- The Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada
| | - Aline Fares
- Division of Medical Oncology, Hospital de Base de São José do Rio Preto, SP, Brazil
| | - Miguel Garcia
- The Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada
| | - Joelle Soriano
- The Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada
- University of Ottawa, Ottawa, ON Canada
| | - Mei Dong
- The Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Sera Thomas
- Lunenfeld-Tanenbaum Research Institute, Sinai Health Systems, Toronto, Canada
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Centre Research Institute, Tokyo, Japan
| | - Leticia Ferro Leal
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil
| | - Nancy Diao
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Juntao Xie
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Zhichao Wang
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - David Zaridze
- Russian N.N. Blokhin Cancer Research Centre, Moscow, Russian Federation
| | - Ivana Holcatova
- Institute of Hygiene and Epidemiology, 1st Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie National Research Institute of Oncology
| | | | - Dana Mates
- National Institute of Public Health, Bucharest, Romania
| | - Milan Savic
- Department of Thoracic Surgery, Clinical Center of Serbia, Belgrade, Serbia
| | - Angela S. Wenzlaff
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA
| | - Curtis C. Harris
- Laboratory of Human Carcinogenesis, Centre for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Guillermo Fernandez-Tardon
- IUOPA, University of Oviedo, and ISPA (Health Research Institute of the Principality of Asturias) and CIBERESP, Asturias, Spain
| | - Matthew J. Barnett
- Program in Biostatistics Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Michael P.A. Davies
- Roy Castle Lung Cancer Research Programme, The University of Liverpool, Department of Molecular and Clinical Cancer Medicine, Liverpool, UK
| | - Mónica Pérez-Ríos
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Spain
- CIBER de Epidemiología y Salud Pública, CIBERESP, Santiago de Compostela, Spain
| | - Fiona Taylor
- Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, UK
- Sheffield Teaching Hospitals Foundation Trust, Sheffield, UK
| | - Eric J. Duell
- Catalan Institute of Oncology (ICO), Barcelona, Spain
- Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
| | - Ben Schoettker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Network of Aging Research, Heidelberg University, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Network of Aging Research, Heidelberg University, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Angela Cox
- Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, UK
| | - Alberto Ruano-Ravina
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Spain
- CIBER de Epidemiología y Salud Pública, CIBERESP, Santiago de Compostela, Spain
| | - John K. Field
- Roy Castle Lung Cancer Research Programme, The University of Liverpool, Department of Molecular and Clinical Cancer Medicine, Liverpool, UK
| | | | - Ying Wang
- American Cancer Society, Atlanta, GA, USA
| | - Chu Chen
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Adonina Tardon
- IUOPA, University of Oviedo, and ISPA (Health Research Institute of the Principality of Asturias) and CIBERESP, Asturias, Spain
| | - Sanjay Shete
- The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Hongbing Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brid M. Ryan
- Laboratory of Human Carcinogenesis, Centre for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Ann G. Schwartz
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA
| | - Lihong Qi
- The University of California Davis Medical Sciences, Davis, California, USA
| | - Lori C. Sakoda
- Kaiser Permanente Northern California, Division of Research, Oakland, California, USA
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Ping Yang
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Jie Zhang
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | | | - Rui Manuel Reis
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil
- Life and Health Sciences Research Institute (ICVS), Medical School, University of Minho, Braga, Portuga
- ICVS/3B’s-PT Government Associate Laboratory, Braga, Portugal
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Centre Research Institute, Tokyo, Japan
| | - Rayjean J. Hung
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health Systems, Toronto, Canada
| | - Wei Xu
- The Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Geoffrey Liu
- The Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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46
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Rosenberger A, Muttray N, Hung RJ, Christiani DC, Caporaso NE, Liu G, Bojesen SE, Le Marchand L, Albanes D, Aldrich MC, Tardon A, Fernández-Tardón G, Rennert G, Field JK, Davies MPA, Liloglou T, Kiemeney LA, Lazarus P, Wendel B, Haugen A, Zienolddiny S, Lam S, Schabath MB, Andrew AS, Duell EJ, Arnold SM, Goodman GE, Chen C, Doherty JA, Taylor F, Cox A, Woll PJ, Risch A, Muley TR, Johansson M, Brennan P, Landi MT, Shete SS, Amos CI, Bickeböller H. Gene-gene interaction of AhRwith and within the Wntcascade affects susceptibility to lung cancer. Eur J Med Res 2022; 27:14. [PMID: 35101137 PMCID: PMC8805279 DOI: 10.1186/s40001-022-00638-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 01/07/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Aberrant Wnt signalling, regulating cell development and stemness, influences the development of many cancer types. The Aryl hydrocarbon receptor (AhR) mediates tumorigenesis of environmental pollutants. Complex interaction patterns of genes assigned to AhR/Wnt-signalling were recently associated with lung cancer susceptibility. AIM To assess the association and predictive ability of AhR/Wnt-genes with lung cancer in cases and controls of European descent. METHODS Odds ratios (OR) were estimated for genomic variants assigned to the Wnt agonist and the antagonistic genes DKK2, DKK3, DKK4, FRZB, SFRP4 and Axin2. Logistic regression models with variable selection were trained, validated and tested to predict lung cancer, at which other previously identified SNPs that have been robustly associated with lung cancer risk could also enter the model. Furthermore, decision trees were created to investigate variant × variant interaction. All analyses were performed for overall lung cancer and for subgroups. RESULTS No genome-wide significant association of AhR/Wnt-genes with overall lung cancer was observed, but within the subgroups of ever smokers (e.g., maker rs2722278 SFRP4; OR = 1.20; 95% CI 1.13-1.27; p = 5.6 × 10-10) and never smokers (e.g., maker rs1133683 Axin2; OR = 1.27; 95% CI 1.19-1.35; p = 1.0 × 10-12). Although predictability is poor, AhR/Wnt-variants are unexpectedly overrepresented in optimized prediction scores for overall lung cancer and for small cell lung cancer. Remarkably, the score for never-smokers contained solely two AhR/Wnt-variants. The optimal decision tree for never smokers consists of 7 AhR/Wnt-variants and only two lung cancer variants. CONCLUSIONS The role of variants belonging to Wnt/AhR-pathways in lung cancer susceptibility may be underrated in main-effects association analysis. Complex interaction patterns in individuals of European descent have moderate predictive capacity for lung cancer or subgroups thereof, especially in never smokers.
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Affiliation(s)
- Albert Rosenberger
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany.
- Institut Für Genetische Epidemiologie, Universitätsmedizin Göttingen, Humboldtallee 32, 37073, Göttingen, Germany.
| | - Nils Muttray
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, University of Toronto, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health and Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, MD, USA
| | - Geoffrey Liu
- Medical Oncology and Medical Biophysics, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Medicine and Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen, Denmark
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, MD, USA
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adonina Tardon
- Faculty of Medicine, University of Oviedo, ISPA and CIBERESP, Oviedo, Spain
| | | | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - John K Field
- Department of Molecular and Clinical Cancer Medicine, Roy Castle Lung Cancer Research Programme, The University of Liverpool, Liverpool, UK
| | - Michael P A Davies
- Department of Molecular and Clinical Cancer Medicine, Roy Castle Lung Cancer Research Programme, The University of Liverpool, Liverpool, UK
| | - Triantafillos Liloglou
- Department of Molecular and Clinical Cancer Medicine, Roy Castle Lung Cancer Research Programme, The University of Liverpool, Liverpool, UK
| | - Lambertus A Kiemeney
- Departments of Health Evidence and Urology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, WA, USA
| | - Bernadette Wendel
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
| | - Aage Haugen
- National Institute of Occupational Health, Oslo, Norway
| | | | - Stephen Lam
- British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Angeline S Andrew
- Department of Epidemiology, Geisel School of Medicine, Hanover, NH, USA
| | - Eric J Duell
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Susanne M Arnold
- Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | | | - Chu Chen
- Program in Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jennifer A Doherty
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Fiona Taylor
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Angela Cox
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Penella J Woll
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Angela Risch
- University of Salzburg and Cancer Cluster Salzburg, Salzburg, Austria
| | - Thomas R Muley
- Member of the German Center for Lung Research (DZL), Translational Lung Research Center (TLRC) Heidelberg, Heidelberg, Germany
- Translational Research Unit, Thoraxklinik, University Hospital Heidelberg, Heidelberg, Germany
| | | | - Paul Brennan
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, MD, USA
| | - Sanjay S Shete
- Department of Biostatistics, Division of Basic Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher I Amos
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
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Willis C, Bauer H, Au TH, Menon J, Unni S, Tran D, Rivers Z, Akerley W, Schabath MB, Badin F, Sekhon A, Patel M, Xia B, Gustafson B, Villano JL, Thomas JM, Lubinga SJ, Cantrell MA, Brixner D, Stenehjem D. Real-world survival analysis by tumor mutational burden in non-small cell lung cancer: a multisite U.S. study. Oncotarget 2022; 13:257-270. [PMID: 35111281 PMCID: PMC8803368 DOI: 10.18632/oncotarget.28178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 12/24/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Tumor mutational burden (TMB) is a potential biomarker to predict tumor response to immuno-oncology agents in patients with metastatic non-small cell lung cancer (NSCLC). MATERIALS AND METHODS A multi-site cohort study evaluated patients diagnosed with stage IV NSCLC between 2012 and 2019 who had received comprehensive genomic profiling (CGP) and any NSCLC-related treatment at 9 U.S. cancer centers. Baseline characteristics and clinical outcomes were compared between patients with TMB <10 and TMB ≥10. RESULTS Among the 667 patients with CGP results, most patients received CGP from Foundation Medicine (64%) or Caris (20%). Patients with TMB ≥10 (vs. TMB <10) were associated with a positive smoking history. TMB was associated with ALK (p = 0.01), EGFR (p < 0.01), and TP53 (p < 0.05) alterations. TMB >10 showed a significant association towards longer overall survival (OS) (HR: 0.43, 95% CI: 0.21-0.88, p = 0.02) and progression-free survival (PFS) (HR: 0.43, 95% CI: 0.21-0.85, p = 0.02) in patients treated with first-line immunotherapy and tested by Foundation Medicine or Caris at treatment initiation. CONCLUSIONS TMB levels greater than or equal to 10 mut/Mb, when tested by Foundation Medicine or Caris at treatment initiation, were significantly associated with improved OS and PFS among patients treated with first-line immunotherapy-containing regimens. Additional prospective research is warranted to validate this biomarker along with PD-L1 expression.
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Affiliation(s)
- Connor Willis
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA
| | - Hillevi Bauer
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA
| | - Trang H. Au
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA
| | - Jyothi Menon
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA
| | - Sudhir Unni
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA
| | - Dao Tran
- Department of Pharmacy Practice and Pharmaceutical Sciences, College of Pharmacy, University of Minnesota, Duluth, MN, USA
| | - Zachary Rivers
- Department of Pharmacy Practice and Pharmaceutical Sciences, College of Pharmacy, University of Minnesota, Duluth, MN, USA
| | - Wallace Akerley
- Department of Internal Medicine, Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT, USA
| | - Matthew B. Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Firas Badin
- Department of Hematology and Oncology, Baptist Health Medical Group, Lexington, KY, USA
| | - Ashley Sekhon
- Department of Radiation Oncology, MetroHealth Medical Center, Cleveland, OH, USA
| | - Malini Patel
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Bing Xia
- Department of Medicine, Kenneth Norris Jr. Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Beth Gustafson
- Precision Oncology Program, Saint Luke’s Cancer Institute, Kansas City, MO, USA
| | - John L. Villano
- Department of Internal Medicine, Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | | | - Solomon J. Lubinga
- Health Economics and Outcomes Research, Bristol Myers Squibb, Princeton, NJ, USA
| | | | - Diana Brixner
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA
| | - David Stenehjem
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA
- Department of Pharmacy Practice and Pharmaceutical Sciences, College of Pharmacy, University of Minnesota, Duluth, MN, USA
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48
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Rosenberger A, Tozzi V, Bickeböller H, Christiani DC, Caporaso NE, Liu G, Bojesen SE, Le Marchand L, Albanes D, Aldrich MC, Tardon A, Fernández-Tardón G, Rennert G, Field JK, Davies M, Liloglou T, Kiemeney LA, Lazarus P, Haugen A, Zienolddiny S, Lam S, Schabath MB, Andrew AS, Duell EJ, Arnold SM, Brunnström H, Melander O, Goodman GE, Chen C, Doherty JA, Teare MD, Cox A, Woll PJ, Risch A, Muley TR, Johansson M, Brennan P, Landi MT, Shete SS, Amos CI. Iam hiQ-a novel pair of accuracy indices for imputed genotypes. BMC Bioinformatics 2022; 23:50. [PMID: 35073846 PMCID: PMC8785528 DOI: 10.1186/s12859-022-04568-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 12/27/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Imputation of untyped markers is a standard tool in genome-wide association studies to close the gap between directly genotyped and other known DNA variants. However, high accuracy with which genotypes are imputed is fundamental. Several accuracy measures have been proposed and some are implemented in imputation software, unfortunately diversely across platforms. In the present paper, we introduce Iam hiQ, an independent pair of accuracy measures that can be applied to dosage files, the output of all imputation software. Iam (imputation accuracy measure) quantifies the average amount of individual-specific versus population-specific genotype information in a linear manner. hiQ (heterogeneity in quantities of dosages) addresses the inter-individual heterogeneity between dosages of a marker across the sample at hand. RESULTS Applying both measures to a large case-control sample of the International Lung Cancer Consortium (ILCCO), comprising 27,065 individuals, we found meaningful thresholds for Iam and hiQ suitable to classify markers of poor accuracy. We demonstrate how Manhattan-like plots and moving averages of Iam and hiQ can be useful to identify regions enriched with less accurate imputed markers, whereas these regions would by missed when applying the accuracy measure info (implemented in IMPUTE2). CONCLUSION We recommend using Iam hiQ additional to other accuracy scores for variant filtering before stepping into the analysis of imputed GWAS data.
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Affiliation(s)
- Albert Rosenberger
- grid.411984.10000 0001 0482 5331Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany ,grid.411984.10000 0001 0482 5331Institut für Genetische Epidemiologie, Universitätsmedizin Göttingen, Humboldtallee 32, 37073 Göttingen, Germany
| | - Viola Tozzi
- grid.411984.10000 0001 0482 5331Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
| | - Heike Bickeböller
- grid.411984.10000 0001 0482 5331Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
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Quinn GP, Tamargo C, Murphy D, Sutter M, Fein L, Ferrari F, Sampson A, Charifosn M, Schabath MB. Abstract PO-063: Medical students' knowledge and comfort in participating in cancer prevention for LGBTQ+ patients. Cancer Epidemiol Biomarkers Prev 2022. [DOI: 10.1158/1538-7755.disp21-po-063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
Background: The majority of US medical schools have a required curriculum related to the care of LGBTQ+ people, which varies in length and content across schools. All medical specialties and sub-specialties have a component of need for cancer care; either in prevention, treatment, or care planning. As such, it is imperative that medical trainees receive relevant training in the care of LGBTQ+ populations, a community experiencing significant cancer health disparities. Assessing trainees' knowledge and confidence in providing care is an important aspect of preparing the next generation of physicians. Methods: This abstract reports on survey results from 3 US medical schools (New York University, University of Miami, University of Texas San Antonio) assessing the knowledge, attitudes and comfort in providing care for LGBTQ+ people. The survey was comprised of 54 Likert response (1=strongly disagree; 7=strongly agree) choice questions on: attitudes (30), knowledge (10), student demographics (13) and desire for additional LGBTQ+ education (1). Results were analyzed using descriptive and quantitative analyses. Results: A total of 360 medical students completed the survey and analyses revealed the majority of students had positive attitudes towards caring for LGBTQ+ patients, but lacked comfort in providing care for transgender/non binary patients (TNB) in general (p=0.05); specific cancer prevention care for TNB (p< 0.01); reproductive care for TNB (p< 0.01) and sexual heath (p=0.01). There was a significant correlation between high knowledge scores and comfort in asking a patient's pronouns (p<0.01). More than 80% felt comfortable discussing cancer prevention care with LGB patients and 75% believed it was important to know the sexual orientation of patient to provide the best care. Eighty percent agreed there should be mandatory LGBTQ+ education in medical school. As in our prior studies, total knowledge scores did not correlate with attitudes. Conclusions: Medical students feel comfortable and willing to provide cancer prevention care for LGB patients but may need more education and training in the unique needs of TNB patients. Medical schools should consider specific education in cancer prevention and treatment for TNB populations.
Citation Format: Gwendolyn P. Quinn, Christina Tamargo, Devin Murphy, Megan Sutter, Lydia Fein, Fabio Ferrari, Amani Sampson, Mia Charifosn, Matthew B. Schabath. Medical students' knowledge and comfort in participating in cancer prevention for LGBTQ+ patients [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-063.
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Affiliation(s)
| | | | - Devin Murphy
- 3University of Texas San Antonio, San Antoni0, TX,
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Kammer MN, Lakhani DA, Balar AB, Antic SL, Kussrow AK, Webster RL, Mahapatra S, Barad U, Shah C, Atwater T, Diergaarde B, Qian J, Kaizer A, New M, Hirsch E, Feser WJ, Strong J, Rioth M, Miller YE, Balagurunathan Y, Rowe DJ, Helmey S, Chen SC, Bauza J, Deppen SA, Sandler K, Maldonado F, Spira A, Billatos E, Schabath MB, Gillies RJ, Wilson DO, Walker RC, Landman B, Chen H, Grogan EL, Barón AE, Bornhop DJ, Massion PP. Integrated Biomarkers for the Management of Indeterminate Pulmonary Nodules. Am J Respir Crit Care Med 2021; 204:1306-1316. [PMID: 34464235 PMCID: PMC8786067 DOI: 10.1164/rccm.202012-4438oc] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 08/27/2021] [Indexed: 01/06/2023] Open
Abstract
Rationale: Patients with indeterminate pulmonary nodules (IPNs) at risk of cancer undergo high rates of invasive, costly, and morbid procedures. Objectives: To train and externally validate a risk prediction model that combined clinical, blood, and imaging biomarkers to improve the noninvasive management of IPNs. Methods: In this prospectively collected, retrospective blinded evaluation study, probability of cancer was calculated for 456 patient nodules using the Mayo Clinic model, and patients were categorized into low-, intermediate-, and high-risk groups. A combined biomarker model (CBM) including clinical variables, serum high sensitivity CYFRA 21-1 level, and a radiomic signature was trained in cohort 1 (n = 170) and validated in cohorts 2-4 (total n = 286). All patients were pooled to recalibrate the model for clinical implementation. The clinical utility of the CBM compared with current clinical care was evaluated in 2 cohorts. Measurements and Main Results: The CBM provided improved diagnostic accuracy over the Mayo Clinic model with an improvement in area under the curve of 0.124 (95% bootstrap confidence interval, 0.091-0.156; P < 2 × 10-16). Applying 10% and 70% risk thresholds resulted in a bias-corrected clinical reclassification index for cases and control subjects of 0.15 and 0.12, respectively. A clinical utility analysis of patient medical records estimated that a CBM-guided strategy would have reduced invasive procedures from 62.9% to 50.6% in the intermediate-risk benign population and shortened the median time to diagnosis of cancer from 60 to 21 days in intermediate-risk cancers. Conclusions: Integration of clinical, blood, and image biomarkers improves noninvasive diagnosis of patients with IPNs, potentially reducing the rate of unnecessary invasive procedures while shortening the time to diagnosis.
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Affiliation(s)
- Michael N. Kammer
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
- Department of Chemistry, and
| | - Dhairya A. Lakhani
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Aneri B. Balar
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Sanja L. Antic
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Amanda K. Kussrow
- Department of Chemistry, and
- Vanderbilt Institute for Chemical Biology, Nashville, Tennessee
- Vanderbilt Ingram Cancer Center, Nashville, Tennessee
| | | | - Shayan Mahapatra
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | | | | | - Thomas Atwater
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Brenda Diergaarde
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh and UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Jun Qian
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Alexander Kaizer
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | | | - Erin Hirsch
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - William J. Feser
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Jolene Strong
- Biomedical Informatics and Personalized Medicine, and
| | - Matthew Rioth
- Medical Oncology and Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Aurora, Colorado
| | | | | | - Dianna J. Rowe
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Sherif Helmey
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Sheau-Chiann Chen
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Joseph Bauza
- American College of Radiology, Philadelphia, Pennsylvania
| | - Stephen A. Deppen
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Kim Sandler
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Fabien Maldonado
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Avrum Spira
- Department of Medicine, Boston University, Boston, Massachusetts
| | - Ehab Billatos
- Department of Medicine, Boston University, Boston, Massachusetts
| | | | | | - David O. Wilson
- Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; and
| | | | - Bennett Landman
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee
| | - Heidi Chen
- American College of Radiology, Philadelphia, Pennsylvania
| | - Eric L. Grogan
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Anna E. Barón
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Darryl J. Bornhop
- Department of Chemistry, and
- Vanderbilt Institute for Chemical Biology, Nashville, Tennessee
- Vanderbilt Ingram Cancer Center, Nashville, Tennessee
| | - Pierre P. Massion
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
- Vanderbilt Ingram Cancer Center, Nashville, Tennessee
- Pulmonary Section, Medical Service, Tennessee Valley Healthcare Systems Nashville Campus, Nashville, Tennessee
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