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Tang Z, Liang D, Deubler EL, Sarnat JA, Chow SS, Diver WR, Wang Y. Lung cancer metabolomics: a pooled analysis in the Cancer Prevention Studies. BMC Med 2024; 22:262. [PMID: 38915026 PMCID: PMC11197282 DOI: 10.1186/s12916-024-03473-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 06/10/2024] [Indexed: 06/26/2024] Open
Abstract
BACKGROUND A better understanding of lung cancer etiology and the development of screening biomarkers have important implications for lung cancer prevention. METHODS We included 623 matched case-control pairs from the Cancer Prevention Study (CPS) cohorts. Pre-diagnosis blood samples were collected between 1998 and 2001 in the CPS-II Nutrition cohort and 2006 and 2013 in the CPS-3 cohort and were sent for metabolomics profiling simultaneously. Cancer-free controls at the time of case diagnosis were 1:1 matched to cases on date of birth, blood draw date, sex, and race/ethnicity. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using conditional logistic regression, controlling for confounders. The Benjamini-Hochberg method was used to correct for multiple comparisons. RESULTS Sphingomyelin (d18:0/22:0) (OR: 1.32; 95% CI: 1.15, 1.53, FDR = 0.15) and taurodeoxycholic acid 3-sulfate (OR: 1.33; 95% CI: 1.14, 1.55, FDR = 0.15) were positively associated with lung cancer risk. Participants diagnosed within 3 years of blood draw had a 55% and 48% higher risk of lung cancer per standard deviation increase in natural log-transformed sphingomyelin (d18:0/22:0) and taurodeoxycholic acid 3-sulfate level, while 26% and 28% higher risk for those diagnosed beyond 3 years, compared to matched controls. Lipid and amino acid metabolism accounted for 47% to 80% of lung cancer-associated metabolites at P < 0.05 across all participants and subgroups. Notably, ever-smokers exhibited a higher proportion of lung cancer-associated metabolites (P < 0.05) in xenobiotic- and lipid-associated pathways, whereas never-smokers showed a more pronounced involvement of amino acid- and lipid-associated metabolic pathways. CONCLUSIONS This is the largest prospective study examining untargeted metabolic profiles regarding lung cancer risk. Sphingomyelin (d18:0/22:0), a sphingolipid, and taurodeoxycholic acid 3-sulfate, a bile salt, may be risk factors and potential screening biomarkers for lung cancer. Lipid and amino acid metabolism may contribute significantly to lung cancer etiology which varied by smoking status.
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Affiliation(s)
- Ziyin Tang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Emily L Deubler
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Jeremy A Sarnat
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Sabrina S Chow
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - W Ryan Diver
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Ying Wang
- Department of Population Science, American Cancer Society, Atlanta, GA, USA.
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2
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McEvoy M, Caccaviello G, Crombie A, Skinner T, Begg SJ, Faulkner P, McEvoy A, Masman K, Bamforth L, Parker C, Stanyer E, Collings A, Li X. Health and Wellbeing of Regional and Rural Australian Healthcare Workers during the COVID-19 Pandemic: Baseline Cross-Sectional Findings from the Loddon Mallee Healthcare Worker COVID-19 Study-A Prospective Cohort Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:649. [PMID: 38791863 PMCID: PMC11120829 DOI: 10.3390/ijerph21050649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/13/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND Coronavirus 19 (COVID-19) has created complex pressures and challenges for healthcare systems worldwide; however, little is known about the impacts COVID-19 has had on regional/rural healthcare workers. The Loddon Mallee Healthcare Worker COVID-19 Study (LMHCWCS) cohort was established to explore and describe the immediate and long-term impacts of the COVID-19 pandemic on regional and rural healthcare workers. METHODS Eligible healthcare workers employed within 23 different healthcare organisations located in the Loddon Mallee region of Victoria, Australia, were included. In this cohort study, a total of 1313 participants were recruited from November 2020-May 2021. Symptoms of depression, anxiety, post-traumatic stress, and burnout were measured using the Patient Health Questionnaire-9 (PHQ-9), Generalised Anxiety Disorder-7 (GAD-7), Impact of Events Scale-6 (IES-6), and Copenhagen Burnout Inventory (CBI), respectively. Resilience and optimism were measured using the Brief Resilience Scale and Life Orientation Test-Revised (LOT-R), respectively. Subjective fear of COVID-19 was measured using the Fear of COVID-19 Scale. RESULTS These cross-sectional baseline findings demonstrate that regional/rural healthcare workers were experiencing moderate/severe depressive symptoms (n = 211, 16.1%), moderate to severe anxiety symptoms (n = 193, 14.7%), and high personal or patient/client burnout with median total scores of 46.4 (IQR = 28.6) and 25.0 (IQR = 29.2), respectively. There was a moderate degree of COVID-19-related fear. However, most participants demonstrated a normal/high degree of resilience (n = 854, 65.0%). Based on self-reporting, 15.4% had a BMI from 18.5 to 24.9 kgm2 and 37.0% have a BMI of 25 kgm2 or over. Overall, 7.3% of participants reported they were current smokers and 20.6% reported alcohol consumption that is considered moderate/high-risk drinking. Only 21.2% of the sample reported consuming four or more serves of vegetables daily and 37.8% reported consuming two or more serves of fruit daily. There were 48.0% the sample who reported having poor sleep quality measured using the Pittsburgh Sleep Quality Index (PSQI). CONCLUSION Regional/rural healthcare workers in Victoria, Australia, were experiencing a moderate to high degree of psychological distress during the early stages of the pandemic. However, most participants demonstrated a normal/high degree of resilience. Findings will be used to inform policy options to support healthcare workers in responding to future pandemics.
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Affiliation(s)
- Mark McEvoy
- La Trobe Rural Health School, La Trobe University, Bendigo, VIC 3550, Australia;
| | | | - Angela Crombie
- Bendigo Health, Bendigo, VIC 3550, Australia; (A.C.); (P.F.); (K.M.); (L.B.); (C.P.); (E.S.); (A.C.)
| | - Timothy Skinner
- School of Psychology and Public Health, La Trobe University, Bendigo, VIC 3550, Australia;
| | - Stephen J. Begg
- La Trobe Rural Health School, La Trobe University, Bendigo, VIC 3550, Australia;
| | - Peter Faulkner
- Bendigo Health, Bendigo, VIC 3550, Australia; (A.C.); (P.F.); (K.M.); (L.B.); (C.P.); (E.S.); (A.C.)
| | - Anne McEvoy
- Kyabram District Health Service, Kyabram, VIC 3620, Australia;
| | - Kevin Masman
- Bendigo Health, Bendigo, VIC 3550, Australia; (A.C.); (P.F.); (K.M.); (L.B.); (C.P.); (E.S.); (A.C.)
| | - Laura Bamforth
- Bendigo Health, Bendigo, VIC 3550, Australia; (A.C.); (P.F.); (K.M.); (L.B.); (C.P.); (E.S.); (A.C.)
| | - Carol Parker
- Bendigo Health, Bendigo, VIC 3550, Australia; (A.C.); (P.F.); (K.M.); (L.B.); (C.P.); (E.S.); (A.C.)
| | - Evan Stanyer
- Bendigo Health, Bendigo, VIC 3550, Australia; (A.C.); (P.F.); (K.M.); (L.B.); (C.P.); (E.S.); (A.C.)
| | - Amanda Collings
- Bendigo Health, Bendigo, VIC 3550, Australia; (A.C.); (P.F.); (K.M.); (L.B.); (C.P.); (E.S.); (A.C.)
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne, VIC 3550, Australia;
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Blechter B, Wong JYY, Chien LH, Shiraishi K, Shu XO, Cai Q, Zheng W, Ji BT, Hu W, Rahman ML, Jiang HF, Tsai FY, Huang WY, Gao YT, Han X, Steinwandel MD, Yang G, Daida YG, Liang SY, Gomez SL, DeRouen MC, Diver WR, Reddy AG, Patel AV, Le Marchand L, Haiman C, Kohno T, Cheng I, Chang IS, Hsiung CA, Rothman N, Lan Q. Age at lung cancer diagnosis in females versus males who never smoke by race and ethnicity. Br J Cancer 2024; 130:1286-1294. [PMID: 38388856 PMCID: PMC11014844 DOI: 10.1038/s41416-024-02592-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND We characterized age at diagnosis and estimated sex differences for lung cancer and its histological subtypes among individuals who never smoke. METHODS We analyzed the distribution of age at lung cancer diagnosis in 33,793 individuals across 8 cohort studies and two national registries from East Asia, the United States (US) and the United Kingdom (UK). Student's t-tests were used to assess the study population differences (Δ years) in age at diagnosis comparing females and males who never smoke across subgroups defined by race/ethnicity, geographic location, and histological subtypes. RESULTS We found that among Chinese individuals diagnosed with lung cancer who never smoke, females were diagnosed with lung cancer younger than males in the Taiwan Cancer Registry (n = 29,832) (Δ years = -2.2 (95% confidence interval (CI):-2.5, -1.9), in Shanghai (n = 1049) (Δ years = -1.6 (95% CI:-2.9, -0.3), and in Sutter Health and Kaiser Permanente Hawai'i in the US (n = 82) (Δ years = -11.3 (95% CI: -17.7, -4.9). While there was a suggestion of similar patterns in African American and non-Hispanic White individuals. the estimated differences were not consistent across studies and were not statistically significant. CONCLUSIONS We found evidence of sex differences for age at lung cancer diagnosis among individuals who never smoke.
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Affiliation(s)
- Batel Blechter
- 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
| | - Li-Hsin Chien
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
- Department of Applied Mathematics, Chung-Yuan Christian University, Chung-Li, Taiwan
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
- Department of Clinical Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Mohammad L Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Hsin-Fang Jiang
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Fang-Yu Tsai
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Xijing Han
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mark D Steinwandel
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Yihe G Daida
- Center for Integrated Health Care Research, Kaiser Permanente Hawai'i, Honolulu, HI, USA
| | - Su-Ying Liang
- Palo Alto Medical Foundation Research Institute, Sutter Health, Palo Alto, CA, USA
| | - Scarlett L Gomez
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Mindy C DeRouen
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - W Ryan Diver
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | - Ananya G Reddy
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | | | - Christopher Haiman
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - Iona Cheng
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Chao Agnes Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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4
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Hodge JM, Patel AV, Islami F, Jemal A, Hiatt RA. Educational Attainment and Cancer Incidence in a Large Nationwide Prospective Cohort. Cancer Epidemiol Biomarkers Prev 2023; 32:1747-1755. [PMID: 37801000 DOI: 10.1158/1055-9965.epi-23-0290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/14/2023] [Accepted: 10/04/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Educational attainment is a social determinant of health and frequently used as an indicator of socioeconomic status. Educational attainment is a predictor of cancer mortality, but associations with site-specific cancer incidence are variable. The aim of this study was to evaluate the association of educational attainment and site-specific cancer incidence adjusting for known risk factors in a large prospective cohort. METHODS Men and women enrolled in the American Cancer Society's Cancer Prevention Study-II Nutrition Cohort who were cancer free at baseline were included in this study (n = 148,965). Between 1992 and 2017, 22,810 men and 17,556 women were diagnosed with incident cancer. Cox proportional hazards regression models were used to estimate age- and multivariable-adjusted risk and 95% confidence intervals of total and site-specific cancer incidence in persons with lower versus higher educational attainment. RESULTS Educational attainment was inversely associated with age-adjusted cancer incidence among men but not women. For specific cancer sites, the multivariable-adjusted risk of cancer in the least versus most educated individuals remained significant for colon, rectum, and lung cancer among men and lung and breast cancer among women. CONCLUSIONS Educational attainment is associated with overall and site-specific cancer risk though adjusting for cancer risk factors attenuates the association for most cancer sites. IMPACT This study provides further evidence that educational attainment is an important social determinant of cancer but that its effects are driven by associated behavioral risk factors suggesting that targeting interventions toward those with lower educational attainment is an important policy consideration.
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Affiliation(s)
- James M Hodge
- Department of Population Science, American Cancer Society, Atlanta, Georgia
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Atlanta, Georgia
| | - Farhad Islami
- Department of Surveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia
| | - Ahmedin Jemal
- Department of Surveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia
| | - Robert A Hiatt
- Department of Epidemiology and Biostatistics and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California
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5
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Thomas M, Su YR, Rosenthal EA, Sakoda LC, Schmit SL, Timofeeva MN, Chen Z, Fernandez-Rozadilla C, Law PJ, Murphy N, Carreras-Torres R, Diez-Obrero V, van Duijnhoven FJB, Jiang S, Shin A, Wolk A, Phipps AI, Burnett-Hartman A, Gsur A, Chan AT, Zauber AG, Wu AH, Lindblom A, Um CY, Tangen CM, Gignoux C, Newton C, Haiman CA, Qu C, Bishop DT, Buchanan DD, Crosslin DR, Conti DV, Kim DH, Hauser E, White E, Siegel E, Schumacher FR, Rennert G, Giles GG, Hampel H, Brenner H, Oze I, Oh JH, Lee JK, Schneider JL, Chang-Claude J, Kim J, Huyghe JR, Zheng J, Hampe J, Greenson J, Hopper JL, Palmer JR, Visvanathan K, Matsuo K, Matsuda K, Jung KJ, Li L, Le Marchand L, Vodickova L, Bujanda L, Gunter MJ, Matejcic M, Jenkins MA, Slattery ML, D'Amato M, Wang M, Hoffmeister M, Woods MO, Kim M, Song M, Iwasaki M, Du M, Udaltsova N, Sawada N, Vodicka P, Campbell PT, Newcomb PA, Cai Q, Pearlman R, Pai RK, Schoen RE, Steinfelder RS, Haile RW, Vandenputtelaar R, Prentice RL, Küry S, Castellví-Bel S, Tsugane S, Berndt SI, Lee SC, Brezina S, Weinstein SJ, Chanock SJ, Jee SH, Kweon SS, Vadaparampil S, Harrison TA, Yamaji T, Keku TO, Vymetalkova V, Arndt V, Jia WH, Shu XO, Lin Y, Ahn YO, Stadler ZK, Van Guelpen B, Ulrich CM, Platz EA, Potter JD, Li CI, Meester R, Moreno V, Figueiredo JC, Casey G, Lansdorp Vogelaar I, Dunlop MG, Gruber SB, Hayes RB, Pharoah PDP, Houlston RS, Jarvik GP, Tomlinson IP, Zheng W, Corley DA, Peters U, Hsu L. Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations. Nat Commun 2023; 14:6147. [PMID: 37783704 PMCID: PMC10545678 DOI: 10.1038/s41467-023-41819-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 09/19/2023] [Indexed: 10/04/2023] Open
Abstract
Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expand PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS are 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1681-3651 cases and 8696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They are significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values < 0.05). Further inclusion of non-European ancestry populations, especially Black/African American and Latinx/Hispanic, is needed to improve the risk prediction and enhance equity in applying PRS in clinical practice.
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Affiliation(s)
- Minta Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
- Biostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, USA
| | - Elisabeth A Rosenthal
- Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, 98195, USA
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Stephanie L Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, USA
| | - Maria N Timofeeva
- Danish Institute for Advanced Study (DIAS), Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, U, Germany
| | - Zhishan Chen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ceres Fernandez-Rozadilla
- Instituto de Investigacion Sanitaria de Santiago (IDIS), Choupana sn, 15706, Santiago de Compostela, Spain
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Philip J Law
- Division of Genetics and Epidemiology, The Institute of Cancer Reseach, London, SW7 3RP, UK
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Robert Carreras-Torres
- Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute (IDIBGI), Salt, 17190, Girona, Spain
| | - Virginia Diez-Obrero
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, 08908, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, 08908, Spain
| | | | - Shangqing Jiang
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul National University Cancer Research Institute, Seoul, South Korea
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | | | - Andrea Gsur
- .Center for Cancer Research, Medical University Vienna, Vienna, Austria
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Ann G Zauber
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anna H Wu
- University of Southern California, Preventative Medicine, Los Angeles, CA, USA
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Caroline Y Um
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Chris Gignoux
- Colorado Center for Personalized Medicine, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
| | - Christina Newton
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Christopher A Haiman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, 3000, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3000, Australia
- Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC, 3000, Australia
| | - David R Crosslin
- Department of Bioinformatics and Medical Education, University of Washington Medical Center, Seattle, WA, 98195, USA
| | - David V Conti
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Dong-Hyun Kim
- Department of Social and Preventive Medicine, Hallym University College of Medicine, Okcheon-dong, South Korea
| | - Elizabeth Hauser
- VA Cooperative Studies Program Epidemiology Center, Durham Veterans Affairs Health Care System, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Erin Siegel
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Fredrick R Schumacher
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Heather Hampel
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - 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
| | - Isao Oze
- .Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Jae Hwan Oh
- .Research Institute and Hospital, National Cancer Center, Goyang, South Korea, South Korea
| | - Jeffrey K Lee
- .Department of Gastroenterology, Kaiser Permanente San Francisco Medical Center, San Francisco, CA, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, 48104, USA
| | | | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-do, South Korea
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Jiayin Zheng
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Jochen Hampe
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Joel Greenson
- Department of Pathology, University of Michigan, Ann Arbor, MI, 48104, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Julie R Palmer
- Slone Epidemiology Center, School of Medicine, Boston University, Boston, MA, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Keitaro Matsuo
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Keum Ji Jung
- Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA, USA
| | | | - Ludmila Vodickova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Luis Bujanda
- Department of Gastroenterology, Biodonostia Health Research Institute, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Universidad del País Vasco (UPV/EHU), San Sebastián, Spain
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | | | - Mark A Jenkins
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3000, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Mauro D'Amato
- Department of Medicine and Surgery, LUM University, Camassima, Italy
- Gastrointestinal Genetics Lab, CIC bioGUNE-BRTA, Derio, Spain
| | - Meilin Wang
- Department of Environmental Genomics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Canada
| | - Michelle Kim
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Mingyang Song
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Departments of Epidemiology and Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Mulong Du
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Natalia Udaltsova
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Rachel Pearlman
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Robert S Steinfelder
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Robert W Haile
- Samuel Oschin Comprehensive Cancer Institute, CEDARS-SINAI, Los Angeles, CA, USA
| | - Rosita Vandenputtelaar
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ross L Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Sébastien Küry
- Nantes Université, CHU Nantes, Service de Génétique Médicale, F-44000, Nantes, France
| | - Sergi Castellví-Bel
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Soo Chin Lee
- National University Cancer Institute, Singapore, Singapore
| | - Stefanie Brezina
- .Center for Cancer Research, Medical University Vienna, Vienna, Austria
| | - Stephanie J Weinstein
- 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
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea
- Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | - Susan Vadaparampil
- Departments of Epidemiology and Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Veronika Vymetalkova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Xiao-Ou Shu
- Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul National University Cancer Research Institute, Seoul, South Korea
| | - Zsofia K Stadler
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Reinier Meester
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Jane C Figueiredo
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Iris Lansdorp Vogelaar
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Malcolm G Dunlop
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, U, Germany
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Richard B Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Reseach, London, SW7 3RP, UK
| | - Gail P Jarvik
- Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, 98195, USA
| | - Ian P Tomlinson
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
- Department of Gastroenterology, Kaiser Permanente Medical Center, San Francisco, CA, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.
- Department of Epidemiology, University of Washington, Seattle, WA, USA.
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.
- Department of Biostatistics, University of Washington, Seattle, WA, USA.
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Thomas M, Su YR, Rosenthal EA, Sakoda LC, Schmit SL, Timofeeva MN, Chen Z, Fernandez-Rozadilla C, Law PJ, Murphy N, Carreras-Torres R, Diez-Obrero V, van Duijnhoven FJ, Jiang S, Shin A, Wolk A, Phipps AI, Burnett-Hartman A, Gsur A, Chan AT, Zauber AG, Wu AH, Lindblom A, Um CY, Tangen CM, Gignoux C, Newton C, Haiman CA, Qu C, Bishop DT, Buchanan DD, Crosslin DR, Conti DV, Kim DH, Hauser E, White E, Siegel E, Schumacher FR, Rennert G, Giles GG, Hampel H, Brenner H, Oze I, Oh JH, Lee JK, Schneider JL, Chang-Claude J, Kim J, Huyghe JR, Zheng J, Hampe J, Greenson J, Hopper JL, Palmer JR, Visvanathan K, Matsuo K, Matsuda K, Jung KJ, Li L, Marchand LL, Vodickova L, Bujanda L, Gunter MJ, Matejcic M, Jenkins MA, Slattery ML, D'Amato M, Wang M, Hoffmeister M, Woods MO, Kim M, Song M, Iwasaki M, Du M, Udaltsova N, Sawada N, Vodicka P, Campbell PT, Newcomb PA, Cai Q, Pearlman R, Pai RK, Schoen RE, Steinfelder RS, Haile RW, Vandenputtelaar R, Prentice RL, Küry S, Castellví-Bel S, Tsugane S, Berndt SI, Lee SC, Brezina S, Weinstein SJ, Chanock SJ, Jee SH, Kweon SS, Vadaparampil S, Harrison TA, Yamaji T, Keku TO, Vymetalkova V, Arndt V, Jia WH, Shu XO, Lin Y, Ahn YO, Stadler ZK, Van Guelpen B, Ulrich CM, Platz EA, Potter JD, Li CI, Meester R, Moreno V, Figueiredo JC, Casey G, Vogelaar IL, Dunlop MG, Gruber SB, Hayes RB, Pharoah PDP, Houlston RS, Jarvik GP, Tomlinson IP, Zheng W, Corley DA, Peters U, Hsu L. Combining Asian-European Genome-Wide Association Studies of Colorectal Cancer Improves Risk Prediction Across Race and Ethnicity. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.19.23284737. [PMID: 36789420 PMCID: PMC9928144 DOI: 10.1101/2023.01.19.23284737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expanded PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS were 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1,681-3,651 cases and 8,696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They were significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values<0.05). Further inclusion of non-European ancestry populations, especially Black/African American and Latinx/Hispanic, is needed to improve the risk prediction and enhance equity in applying PRS in clinical practice.
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Matta M, Deubler E, Chajes V, Vozar B, Gunter MJ, Murphy N, Gaudet MM. Circulating plasma phospholipid fatty acid levels and breast cancer risk in the Cancer Prevention Study-II Nutrition Cohort. Int J Cancer 2022; 151:2082-2094. [PMID: 35849437 DOI: 10.1002/ijc.34216] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 11/09/2022]
Abstract
Prospective studies that objectively measure circulating levels of fatty acids are needed to clarify their role in the etiology of breast cancer. Thirty-eight phospholipid fatty acids were measured using gas chromatograph in the plasma fraction of blood samples collected prospectively from 2718 postmenopausal women (905 breast cancer cases) enrolled in the Cancer Prevention Study II Nutrition Cohort. Associations of 28 fatty acids that passed quality control metrics (modeled as per 1-SD increase) with breast cancer risk were assessed using multiple variable conditional logistic regression models to compute odds ratios (OR) and 95% confidence intervals (CI). The false discovery rate (q value) was computed to account for multiple comparisons. Myristic acid levels were positively associated with breast cancer risk (OR, 1.17, 95% CI: 1.07-1.28; q value = 0.03). Borderline associations were also found for palmitoleic acid (OR, 1.14, 95% CI: 1.04-1.24) and desaturation index16 (OR, 1.10, 95% CI: 1.01-1.20) at nominal P values (<.03) (q values>0.05). These findings suggest that higher circulating levels of myristic acid, sourced from dietary intake of palm kernel oils along with increased de novo synthesis of fatty acids, may increase breast cancer risk. Additional studies are needed to investigate de novo synthesis of fatty acid in breast cancer tissues.
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Affiliation(s)
- Michèle Matta
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Emily Deubler
- Department of Population Science, American Cancer Society, Atlanta, Georgia, USA
| | - Veronique Chajes
- Office of the Director, International Agency for Research on Cancer, Lyon, France
| | - Beatrice Vozar
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Mia M Gaudet
- Trans Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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Pinheiro PS, Callahan KE, Medina HN, Koru-Sengul T, Kobetz EN, Gomez SL, de Lima Lopes G. Lung cancer in never smokers: Distinct population-based patterns by age, sex, and race/ethnicity. Lung Cancer 2022; 174:50-56. [PMID: 36334356 DOI: 10.1016/j.lungcan.2022.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 10/23/2022] [Accepted: 10/24/2022] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Epidemiological patterns for lung cancer among never smokers (LCNS) are largely unknown, even though LCNS cases comprise 15% of lung cancers. Past studies were based on epidemiologic or health system cohorts, and not fully representative of the underlying population. The objective was to analyze rates (and trends) of LCNS by sex, age group, and race and ethnicity based on all-inclusive truly population-based sources. MATERIALS AND METHODS Individual-level data from 2014 to 2018 on smoking status among microscopically-confirmed lung cancer cases from Florida's cancer registry were combined with population denominators adjusted with NHIS data on smoking prevalence to compute population-based LCNS incidence rates and rate ratios. Incidence rates and proportional mortality were ranked against other cancers. Joinpoint regression analyses examined trends. RESULTS Proportions of LCNS ranged from 9% among White men to 83% among Chinese women. Overall, LCNS was 13% (IRR 1.13, 95%CI 1.08-1.17) more common among men than women, but variation occurred by age group, with female rates exceeding male in younger ages. Age-adjusted rates per 100,000 were highest among Asian/Pacific Islander (API) men and women (15.3 and 13.5, respectively) and Black populations (14.6, 12.9), intermediate for White (13.2, 11.8) and lowest among the Hispanic population (12.1, 10.6). Among API women, LCNS was the second leading cause of cancer death, surpassed only by breast cancer. LCNS trends were stable over time. CONCLUSION LCNS is the 11th most frequently occurring cancer in men and 8th in women. LCNS differences by race/ethnicity are small, within a 15% range of the White population's rates. Surprisingly, API men and women have the highest LCNS rates and proportional mortality. As smoking prevalence decreases in the US, LCNS cases will inevitably increase, warranting inquiry into risk factors across the lifespan.
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Affiliation(s)
- Paulo S Pinheiro
- Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL, United States; Department of Public Health Sciences, University of Miami School of Medicine, Miami, FL, United States.
| | - Karen E Callahan
- School of Public Health, University of Nevada Las Vegas, Las Vegas, NV, United States
| | - Heidy N Medina
- Department of Public Health Sciences, University of Miami School of Medicine, Miami, FL, United States
| | - Tulay Koru-Sengul
- Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL, United States; Department of Public Health Sciences, University of Miami School of Medicine, Miami, FL, United States
| | - Erin N Kobetz
- Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL, United States; Department of Public Health Sciences, University of Miami School of Medicine, Miami, FL, United States
| | - Scarlett Lin Gomez
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, United States
| | - Gilberto de Lima Lopes
- Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL, United States
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9
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Rees-Punia E, Deubler E, Patel AV, Diver WR, Hodge J, Islami F, Lee MJ, McCullough ML, Teras LR. The Role of Individual-Level Factors in Rural Mortality Disparities. AJPM FOCUS 2022; 1:100013. [PMID: 37791015 PMCID: PMC10546552 DOI: 10.1016/j.focus.2022.100013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Introduction The role of individual risk factors in the rural‒urban mortality disparity is poorly understood. The purpose of this study was to explore the role of individual-level demographics and health behaviors on the association between rural residence and the risk of mortality. Methods Cancer Prevention Study-II participants provided updated addresses throughout the study period. Rural‒Urban Commuting Area codes were assigned to participants' geocoded addresses as a time-varying exposure. Cox proportional hazards regression was used to estimate hazard ratios and 95% CIs for mortality associated with Rural‒Urban Commuting Area groups. Results After adjustment for age and sex, residents of rural areas/small towns had a small but statistically significant elevated risk of all-cause mortality compared with metropolitan residents (hazard ratio=1.04; 95% CI=1.01, 1.06). Adjustment for additional covariates attenuated the association entirely (hazard ratio=0.99; 95% CI=0.97, 1.01). Individually, adjustment for education (hazard ratio=0.99; 95% CI=0.97, 1.01), alcohol use (hazard ratio=1.01; 95% CI=0.99, 1.04), and moderate-to-vigorous intensity aerobic physical activity (hazard ratio=1.00; 95% CI=0.97, 1.02) eliminated the elevated risk. Conclusions The elevated risk of death for rural compared with that for metropolitan residents appeared to be largely explained by individual-level demographics and health behaviors. If replicated in other subpopulations, these results suggest that modifiable factors may play an important role in reducing the rural mortality disparity.
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Affiliation(s)
- Erika Rees-Punia
- Department of Population Science, American Cancer Society, Kennesaw, Georgia
| | - Emily Deubler
- Department of Population Science, American Cancer Society, Kennesaw, Georgia
| | - Alpa V. Patel
- Department of Population Science, American Cancer Society, Kennesaw, Georgia
| | - W. Ryan Diver
- Department of Population Science, American Cancer Society, Kennesaw, Georgia
| | - James Hodge
- Department of Population Science, American Cancer Society, Kennesaw, Georgia
| | - Farhad Islami
- Department of Surveillance & Health Equity Science, American Cancer Society, Kennesaw, Georgia
| | - Min Jee Lee
- Department of Population Science & Policy, Southern Illinois University School of Medicine, Kennesaw, Georgia
| | | | - Lauren R. Teras
- Department of Population Science, American Cancer Society, Kennesaw, Georgia
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Leach CR, Gapstur SM, Cella D, Deubler E, Teras LR. Age-related health deficits and five-year mortality among older, long-term cancer survivors. J Geriatr Oncol 2022; 13:1023-1030. [PMID: 35660092 DOI: 10.1016/j.jgo.2022.05.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 05/05/2022] [Accepted: 05/20/2022] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Geriatric assessment evaluates multiple domains of health that, together, are superior to using chronologic age for predicting outcomes, such as hospitalization and mortality among patients with cancer. Most studies have not included comparison groups of individuals without cancer and assessed domains around the time of initial cancer diagnosis. Further, the potential for brief, self-reported measures to capture deficits that similarly predict mortality has not been well examined. This study compared age-related health deficit prevalence between older, long-term cancer survivors and individuals without a cancer history, and estimated associations between deficits and mortality risk among survivors. MATERIALS AND METHODS Analyses included participants in the Cancer Prevention Study (CPS)-II Nutrition Cohort who were cancer-free at enrollment in 1992/1993 and completed the Patient Reported Outcome Measurement Information System® (PROMIS®) global health questionnaire in 2011. Age-related deficits in five domains (comorbidities, functional status, mental health, malnutrition/weight loss, and social support) were self-reported. Cancer information was self-reported and confirmed via medical records or state cancer registries. Vital status through 2016 and cause of death was ascertained by linkage with the National Death Index. RESULTS Analyses included 9979 participants (median age = 80) diagnosed with invasive cancer 5-20 years prior to completing the 2011 survey and 63,578 participants without a cancer history (median age = 79). Overall deficits in the five domains were similar among long-term cancer survivors and controls. However, survivors of specific cancer types - non-Hodgkin lymphoma (NHL), lung, and kidney cancer - were more likely to report deficits in mental health and functional status than the control group. Among all survivors, each domain was independently associated with all-cause mortality, particularly functional status (hazard ratio [HR] = 2.02; 95% confidence interval [CI]: 1.80-2.27) and mental health (HR = 1.84; 95% CI: 1.65-2.04). Mortality risk increased with the number of deficits. DISCUSSION These results suggest that, several years after treatment, NHL, lung, and kidney cancer survivors are still more likely to experience age-related deficits compared to other similarly-aged individuals. Furthermore, results show that shorter, self-reported physical and mental health assessments, such as the PROMIS® global health questions, are predictive of mortality among older, long-term cancer survivors and, therefore, may be useful in clinical and research settings.
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Affiliation(s)
| | | | - David Cella
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Huang Y, Hua X, Labadie JD, Harrison TA, Dai JY, Lindstrom S, Lin Y, Berndt SI, Buchanan DD, Campbell PT, Casey G, Gallinger SJ, Gunter MJ, Hoffmeister M, Jenkins MA, Sakoda LC, Schoen RE, Diergaarde B, Slattery ML, White E, Giles G, Brenner H, Chang-Claude J, Joshi A, Ma W, Pai RK, Chan AT, Peters U, Newcomb PA. Genetic variants associated with circulating C-reactive protein levels and colorectal cancer survival: Sex-specific and lifestyle factors specific associations. Int J Cancer 2022; 150:1447-1454. [PMID: 34888857 PMCID: PMC8897240 DOI: 10.1002/ijc.33897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 09/30/2021] [Accepted: 10/29/2021] [Indexed: 11/07/2022]
Abstract
Elevated blood levels of C-reactive protein (CRP) have been linked to colorectal cancer (CRC) survival. We evaluated genetic variants associated with CRP levels and their interactions with sex and lifestyle factors in association with CRC-specific mortality. Our study included 16 142 CRC cases from the International Survival Analysis in Colorectal Cancer Consortium. We identified 618 common single nucleotide polymorphisms (SNPs) associated with CRP levels from the NHGRI-EBI GWAS Catalog. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between SNPs and CRC-specific mortality adjusting for age, sex, genotyping platform/study and principal components. We investigated their interactions with sex and lifestyle factors using likelihood ratio tests. Of 5472 (33.9%) deaths accrued over up to 10 years of follow-up, 3547 (64.8%) were due to CRC. No variants were associated with CRC-specific mortality after multiple comparison correction. We observed strong evidence of interaction between variant rs1933736 at FRK gene and sex in relation to CRC-specific mortality (corrected Pinteraction = .0004); women had higher CRC-specific mortality associated with the minor allele (HR = 1.11, 95% CI = 1.04-1.19) whereas an inverse association was observed for men (HR = 0.88, 95% CI = 0.82-0.94). There was no evidence of interactions between CRP-associated SNPs and alcohol, obesity or smoking. Our study observed a significant interaction between sex and a CRP-associated variant in relation to CRC-specific mortality. Future replication of this association and functional annotation of the variant are needed.
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Affiliation(s)
- Yuhan Huang
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Xinwei Hua
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
- Clinical and Translational Epidemiology Unit and Department of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Julia D. Labadie
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Tabitha A. Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - James Y. Dai
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Sara Lindstrom
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Daniel D. Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, University of Melbourne, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
- Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Peter T. Campbell
- Department of Population Science, American Cancer Society, Atlanta, Georgia, USA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA
| | - Steven J. Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Marc J. Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Mark A. Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Lori C. Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Robert E. Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Brenda Diergaarde
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA
| | - Martha L. Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Graham Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia
| | - 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
| | - Jenny Chang-Claude
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Amit Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Rish K. Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, Arizona, USA
| | - Andrew T. Chan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Polly A. Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
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12
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McEvoy M, Parker C, Crombie A, Skinner TC, Begg S, Faulkner P, McEvoy A, Bamforth L, Caccaviello G. Loddon Mallee healthcare worker COVID-19 study-protocol for a prospective cohort study examining the health and well-being of rural Australian healthcare workers during the COVID-19 pandemic. BMJ Open 2021; 11:e050511. [PMID: 34380731 PMCID: PMC8359870 DOI: 10.1136/bmjopen-2021-050511] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
INTRODUCTION The COVID-19 pandemic is creating immense psychosocial disturbance. While global, broad-based research is being conducted, little is known about the effects of the COVID-19 pandemic on health and well-being or how protective and resilience factors influence the human response in Australian rural and regional communities. Rural and regional communities often have less resources to deal with such public health emergencies and face additional environmental adversity. Healthcare workers, including those in rural and regional areas, have felt the immediate impacts of COVID-19 in a multitude of ways and these impacts will continue for years to come. Therefore, this study aims to describe and understand the impacts of the COVID-19 pandemic on the rural and regional healthcare workforce within the Loddon Mallee region, Victoria, Australia. METHODS AND ANALYSIS This prospective cohort of rural and regional healthcare workers will be recruited and followed over 3 years to examine the effects of the COVID-19 pandemic on their health and well-being. Self-administered online questionnaires will be administered every 6 months for a 36-month period. Multiple outcomes will be assessed; however, the primary outcomes are emotional health and well-being and psychological resilience. Emotional health and well-being will be measured using validated instruments that will assess multiple domains of the emotional health and well-being continuum.Linear and logistic regression and latent growth curve modelling will be used to examine the association between baseline and follow-up participant emotional health, well-being and resilience while adjusting for potentially time-varying confounding variables. Participant characteristics measured at baseline will also be tested for association with incident health, morbidity, mortality and health service utilisation outcomes at follow-up. ETHICS AND DISSEMINATION Ethical approval has been obtained through the Bendigo Health Human Research Ethics Committee. The study findings will be disseminated through international conferences, international peer-reviewed journals and social media. TRIAL REGISTRATION NUMBER ACTRN12620001269921.
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Affiliation(s)
- Mark McEvoy
- Rural Health School, La Trobe University, Bendigo, Victoria, Australia
| | - Carol Parker
- Research and Innovation, Bendigo Health, Bendigo, Victoria, Australia
| | - Angela Crombie
- Research and Innovation, Bendigo Health, Bendigo, Victoria, Australia
| | - Timothy C Skinner
- Rural Health School, La Trobe University, Bendigo, Victoria, Australia
| | - Stephen Begg
- Rural Health School, La Trobe University, Bendigo, Victoria, Australia
| | - Peter Faulkner
- Research and Innovation, Bendigo Health, Bendigo, Victoria, Australia
| | - Anne McEvoy
- Executive Office, Kyabram District Health Service, Kyabram, Victoria, Australia
| | - Laura Bamforth
- Research and Innovation, Bendigo Health, Bendigo, Victoria, Australia
| | - Gabriel Caccaviello
- Staff Development, Swan Hill District Health, Swan Hill, Victoria, Australia
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13
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Moryson W, Stawinska-Witoszynska B. Premature Mortality Due to Tobacco-Related Malignancies in Poland. Int J Gen Med 2021; 14:2171-2182. [PMID: 34103972 PMCID: PMC8180298 DOI: 10.2147/ijgm.s310416] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 05/10/2021] [Indexed: 12/09/2022] Open
Abstract
Introduction Although in Poland at the turn of the 20th and 21st centuries, tobacco consumption per capita was one of the highest in the world as a result of specific political and social conditions, nicotinism was the most common preventable cause of death that reduced life expectancy by 10 years on average. The aim of this study is to determine the level of premature mortality and its trends by age and sex for tobacco-related malignancies in Poland in the years 2008–2017. Methods The standardised premature mortality rates as well as mortality rates for five-year age ranges according to the patients’ sex were used. The Joinpoint model was used to determine the time trends. Results Premature mortality due to all tobacco-dependent cancers analysed decreased in Poland throughout the analysed period in both male (2.5% per year) and female (1% per year) populations. A detailed analysis of individual diseases showed that a decrease in premature mortality was observed for almost all malignancies with the exception of malignant liver cancer among males, malignant oesophageal cancer among females and malignant lip, oral cavity and oropharyngeal cancer in both sexes. The reduction in mortality from all tobacco-related cancers in the male population was greatest between 40 and 44 years of age, reaching 5.6% year on year. Similarly, in the case of females, the decline in mortality was greater in the younger age cohorts and decreased in those aged over 50. Conclusion The favourable phenomenon of decreasing the level of premature mortality caused by tobacco-related malignancies may be associated, among others, with the policy of primary prevention of these diseases in the form of a widespread ban on smoking in public places, intensive information campaigns on the harmfulness of tobacco smoking and increasing taxation on tobacco products.
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Affiliation(s)
- Waclaw Moryson
- Department of Epidemiology and Hygiene, Chair of Social Medicine, Poznan University of Medical Sciences, Poznan, 60-806, Wielkopolska, Poland
| | - Barbara Stawinska-Witoszynska
- Department of Epidemiology and Hygiene, Chair of Social Medicine, Poznan University of Medical Sciences, Poznan, 60-806, Wielkopolska, Poland
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14
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Egan KM, Kim Y, Bender N, Hodge JM, Coghill AE, Smith-Warner SA, Rollison DE, Teras LR, Grimsrud TK, Waterboer T. Prospective investigation of polyomavirus infection and the risk of adult glioma. Sci Rep 2021; 11:9642. [PMID: 33953301 PMCID: PMC8100283 DOI: 10.1038/s41598-021-89133-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 04/16/2021] [Indexed: 12/23/2022] Open
Abstract
Glioma is an aggressive primary tumor of the brain with a poorly understood etiology. We studied the association of 4 human polyomaviruses (HPyV)—JC virus (JCV), BK virus (BKV), human polyomavirus 6 (HPyV6), and Merkel cell polyomavirus (MCPyV) with glioma risk within the Cancer Prevention Study II in the US (CPS-II) and the Janus Serum Bank in Norway. Cohort participants subsequently diagnosed with glioma from the CPS-II (n = 37) and Janus Serum Bank (n = 323), a median of 6.9 and 15.4 years after blood collection, respectively, were matched to individual controls on age, sex, and date of blood draw. Serum antibodies to the major viral capsid protein (VP1) were used to establish infection history for each polyomavirus. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using conditional logistic regression. In the Janus Serum Bank, MCPyV infection was associated with a higher risk of glioma overall (OR: 1.56; 95% CI 1.10, 2.19). A modest, nonsignificant positive association with MCPyV infection was also observed in CPS-II (OR: 1.29; 95% CI 0.54, 3.08). In both cohorts, glioma risk was not significantly related to infection with JCV, BKV or HPyV6. The present study suggests that MCPyV infection may increase glioma risk.
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Affiliation(s)
- Kathleen M Egan
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL, 33612, USA.
| | - Youngchul Kim
- Department of Biostatistics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Noemi Bender
- Infections and Cancer Epidemiology, German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ), 69120, Heidelberg, Germany
| | - James M Hodge
- Department of Population Science, American Cancer Society, Atlanta, GA, 30303, USA
| | - Anna E Coghill
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL, 33612, USA
| | - Stephanie A Smith-Warner
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Dana E Rollison
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL, 33612, USA
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, 30303, USA
| | - Tom K Grimsrud
- Department of Research, Cancer Registry of Norway, 0379, Oslo, Norway
| | - Tim Waterboer
- Infections and Cancer Epidemiology, German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ), 69120, Heidelberg, Germany
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15
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Kim J, Gianferante M, Karyadi DM, Hartley SW, Frone MN, Luo W, Robison LL, Armstrong GT, Bhatia S, Dean M, Yeager M, Zhu B, Song L, Sampson JN, Yasui Y, Leisenring WM, Brodie SA, de Andrade KC, Fortes FP, Goldstein AM, Khincha PP, Machiela MJ, McMaster ML, Nickerson ML, Oba L, Pemov A, Pinheiro M, Rotunno M, Santiago K, Wegman-Ostrosky T, Diver WR, Teras L, Freedman ND, Hicks BD, Zhu B, Wang M, Jones K, Hutchinson AA, Dagnall C, Savage SA, Tucker MA, Chanock SJ, Morton LM, Stewart DR, Mirabello L. Frequency of Pathogenic Germline Variants in Cancer-Susceptibility Genes in the Childhood Cancer Survivor Study. JNCI Cancer Spectr 2021; 5:pkab007. [PMID: 34308104 PMCID: PMC8023430 DOI: 10.1093/jncics/pkab007] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 12/01/2020] [Accepted: 12/22/2020] [Indexed: 11/13/2022] Open
Abstract
Background Pediatric cancers are the leading cause of death by disease in children despite improved survival rates overall. The contribution of germline genetic susceptibility to pediatric cancer survivors has not been extensively characterized. We assessed the frequency of pathogenic or likely pathogenic (P/LP) variants in 5451 long-term pediatric cancer survivors from the Childhood Cancer Survivor Study. Methods Exome sequencing was conducted on germline DNA from 5451 pediatric cancer survivors (cases who survived ≥5 years from diagnosis; n = 5105 European) and 597 European cancer-free adults (controls). Analyses focused on comparing the frequency of rare P/LP variants in 237 cancer-susceptibility genes and a subset of 60 autosomal dominant high-to-moderate penetrance genes, for both case-case and case-control comparisons. Results Of European cases, 4.1% harbored a P/LP variant in high-to-moderate penetrance autosomal dominant genes compared with 1.3% in controls (2-sided P = 3 × 10-4). The highest frequency of P/LP variants was in genes typically associated with adult onset rather than pediatric cancers, including BRCA1/2, FH, PALB2, PMS2, and CDKN2A. A statistically significant excess of P/LP variants, after correction for multiple tests, was detected in patients with central nervous system cancers (NF1, SUFU, TSC1, PTCH2), Wilms tumor (WT1, REST), non-Hodgkin lymphoma (PMS2), and soft tissue sarcomas (SDHB, DICER1, TP53, ERCC4, FGFR3) compared with other pediatric cancers. Conclusion In long-term pediatric cancer survivors, we identified P/LP variants in cancer-susceptibility genes not previously associated with pediatric cancer as well as confirmed known associations. Further characterization of variants in these genes in pediatric cancer will be important to provide optimal genetic counseling for patients and their families.
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Affiliation(s)
- Jung Kim
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Matthew Gianferante
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Danielle M Karyadi
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Stephen W Hartley
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Megan N Frone
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Wen Luo
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St.
Jude Children’s Research Hospital, Memphis, TN, USA
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St.
Jude Children’s Research Hospital, Memphis, TN, USA
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship,
University of Alabama at Birmingham, Birmingham, AL, USA
| | - Michael Dean
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Lei Song
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Yutaka Yasui
- Department of Epidemiology and Cancer Control, St.
Jude Children’s Research Hospital, Memphis, TN, USA
| | - Wendy M Leisenring
- Cancer Prevention and Clinical Statistics Programs,
Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Seth A Brodie
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kelvin C de Andrade
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Fernanda P Fortes
- International Research Center, A.C. Camargo Cancer
Center, São Paulo, Brazil
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Payal P Khincha
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Mary L McMaster
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Michael L Nickerson
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Leatrisse Oba
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Alexander Pemov
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Maisa Pinheiro
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Melissa Rotunno
- Division of Cancer Control and Population Sciences,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Karina Santiago
- International Research Center, A.C. Camargo Cancer
Center, São Paulo, Brazil
| | - Talia Wegman-Ostrosky
- Basic Research Subdirection, Instituto Nacional de
Cancerología (INCan), Mexico City, Mexico
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer
Society, Atlanta, GA, USA
| | - Lauren Teras
- Epidemiology Research Program, American Cancer
Society, Atlanta, GA, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Bin Zhu
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Mingyi Wang
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kristine Jones
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Amy A Hutchinson
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Casey Dagnall
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Margaret A Tucker
- 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
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Douglas R Stewart
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
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16
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A Metabolomics Analysis of Postmenopausal Breast Cancer Risk in the Cancer Prevention Study II. Metabolites 2021; 11:metabo11020095. [PMID: 33578791 PMCID: PMC7916573 DOI: 10.3390/metabo11020095] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 02/02/2021] [Accepted: 02/02/2021] [Indexed: 12/29/2022] Open
Abstract
Breast cancer is the most common cancer in women, but its incidence can only be partially explained through established risk factors. Our aim was to use metabolomics to identify novel risk factors for breast cancer and to validate recently reported metabolite-breast cancer findings. We measured levels of 1275 metabolites in prediagnostic serum in a nested case-control study of 782 postmenopausal breast cancer cases and 782 matched controls. Metabolomics analysis was performed by Metabolon Inc using ultra-performance liquid chromatography and a Q-Exactive high resolution/accurate mass spectrometer. Controls were matched by birth date, date of blood draw, and race/ethnicity. Odds ratios (ORs) and 95% confidence intervals (CIs) of breast cancer at the 90th versus 10th percentile (modeled on a continuous basis) of metabolite levels were estimated using conditional logistic regression, with adjustment for age. Twenty-four metabolites were significantly associated with breast cancer risk at a false discovery rate <0.20. For the nine metabolites positively associated with risk, the ORs ranged from 1.75 (95% CI: 1.29–2.36) to 1.45 (95% CI: 1.13–1.85), and for the 15 metabolites inversely associated with risk, ORs ranged from 0.59 (95% CI: 0.43–0.79) to 0.69 (95% CI: 0.55–0.87). These metabolites largely comprised carnitines, glycerolipids, and sex steroid metabolites. Associations for three sex steroid metabolites validated findings from recent studies and the remainder were novel. These findings contribute to growing data on metabolite-breast cancer associations by confirming prior findings and identifying novel leads for future validation efforts.
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17
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Zaura E, Pappalardo VY, Buijs MJ, Volgenant CMC, Brandt BW. Optimizing the quality of clinical studies on oral microbiome: A practical guide for planning, performing, and reporting. Periodontol 2000 2021; 85:210-236. [PMID: 33226702 PMCID: PMC7756869 DOI: 10.1111/prd.12359] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
With this review, we aim to increase the quality standards for clinical studies with microbiome as an output parameter. We critically address the existing body of evidence for good quality practices in oral microbiome studies based on 16S rRNA gene amplicon sequencing. First, we discuss the usefulness of microbiome profile analyses. Is a microbiome study actually the best approach for answering the research question? This is followed by addressing the criteria for the most appropriate study design, sample size, and the necessary data (study metadata) that should be collected. Next, we evaluate the available evidence for best practices in sample collection, transport, storage, and DNA isolation. Finally, an overview of possible sequencing options (eg, 16S rRNA gene hypervariable regions, sequencing platforms), processing and data interpretation approaches, as well as requirements for meaningful data storage, sharing, and reporting are provided.
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Affiliation(s)
- Egija Zaura
- Department of Preventive DentistryAcademic Centre for Dentistry Amsterdam (ACTA)Vrije Universiteit Amsterdam and University of AmsterdamAmsterdamthe Netherlands
| | - Vincent Y. Pappalardo
- Department of Preventive DentistryAcademic Centre for Dentistry Amsterdam (ACTA)Vrije Universiteit Amsterdam and University of AmsterdamAmsterdamthe Netherlands
| | - Mark J. Buijs
- Department of Preventive DentistryAcademic Centre for Dentistry Amsterdam (ACTA)Vrije Universiteit Amsterdam and University of AmsterdamAmsterdamthe Netherlands
| | - Catherine M. C. Volgenant
- Department of Preventive DentistryAcademic Centre for Dentistry Amsterdam (ACTA)Vrije Universiteit Amsterdam and University of AmsterdamAmsterdamthe Netherlands
| | - Bernd W. Brandt
- Department of Preventive DentistryAcademic Centre for Dentistry Amsterdam (ACTA)Vrije Universiteit Amsterdam and University of AmsterdamAmsterdamthe Netherlands
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18
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Palmer JR, Polley EC, Hu C, John EM, Haiman C, Hart SN, Gaudet M, Pal T, Anton-Culver H, Trentham-Dietz A, Bernstein L, Ambrosone CB, Bandera EV, Bertrand KA, Bethea TN, Gao C, Gnanaolivu RD, Huang H, Lee KY, LeMarchand L, Na J, Sandler DP, Shah PD, Yadav S, Yang W, Weitzel JN, Domchek SM, Goldgar DE, Nathanson KL, Kraft P, Yao S, Couch FJ. Contribution of Germline Predisposition Gene Mutations to Breast Cancer Risk in African American Women. J Natl Cancer Inst 2020; 112:1213-1221. [PMID: 32427313 PMCID: PMC7735769 DOI: 10.1093/jnci/djaa040] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 01/27/2020] [Accepted: 03/23/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The risks of breast cancer in African American (AA) women associated with inherited mutations in breast cancer predisposition genes are not well defined. Thus, whether multigene germline hereditary cancer testing panels are applicable to this population is unknown. We assessed associations between mutations in panel-based genes and breast cancer risk in 5054 AA women with breast cancer and 4993 unaffected AA women drawn from 10 epidemiologic studies. METHODS Germline DNA samples were sequenced for mutations in 23 cancer predisposition genes using a QIAseq multiplex amplicon panel. Prevalence of mutations and odds ratios (ORs) for associations with breast cancer risk were estimated with adjustment for study design, age, and family history of breast cancer. RESULTS Pathogenic mutations were identified in 10.3% of women with estrogen receptor (ER)-negative breast cancer, 5.2% of women with ER-positive breast cancer, and 2.3% of unaffected women. Mutations in BRCA1, BRCA2, and PALB2 were associated with high risks of breast cancer (OR = 47.55, 95% confidence interval [CI] = 10.43 to >100; OR = 7.25, 95% CI = 4.07 to 14.12; OR = 8.54, 95% CI = 3.67 to 24.95, respectively). RAD51D mutations were associated with high risk of ER-negative disease (OR = 7.82, 95% CI = 1.61 to 57.42). Moderate risks were observed for CHEK2, ATM, ERCC3, and FANCC mutations with ER-positive cancer, and RECQL mutations with all breast cancer. CONCLUSIONS The study identifies genes that predispose to breast cancer in the AA population, demonstrates the validity of current breast cancer testing panels for use in AA women, and provides a basis for increased referral of AA patients for cancer genetic testing.
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Affiliation(s)
- Julie R Palmer
- Department of Medicine, Boston University School of Medicine, and Slone Epidemiology Center, Boston, MA 02118, USA
| | - Eric C Polley
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Chunling Hu
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Esther M John
- Department of Health Research & Policy, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Christopher Haiman
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Steven N Hart
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Mia Gaudet
- Epidemiology Research, American Cancer Society, Atlanta, GA 30303, USA
| | - Tuya Pal
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | | | - Amy Trentham-Dietz
- Department of Population Health Sciences and Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53726, USA
| | - Leslie Bernstein
- Department of Population Sciences, City of Hope, Duarte, CA 91010, USA
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA
| | - Elisa V Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New, New Brunswick, NJ 08903, USA
| | - Kimberly A Bertrand
- Department of Medicine, Boston University School of Medicine, and Slone Epidemiology Center, Boston, MA 02118, USA
| | - Traci N Bethea
- Department of Medicine, Boston University School of Medicine, and Slone Epidemiology Center, Boston, MA 02118, USA
| | - Chi Gao
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Rohan D Gnanaolivu
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Hongyan Huang
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Kun Y Lee
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Loic LeMarchand
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center Honolulu, HI 96813, USA
| | - Jie Na
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Payal D Shah
- Abramson Cancer Center and Basser Center for BRCA, University of Pennsylvania, Philadelphia, PA 19104, USA; and 16Department of Dermatology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Siddhartha Yadav
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - William Yang
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Jeffrey N Weitzel
- Department of Population Sciences, City of Hope, Duarte, CA 91010, USA
| | - Susan M Domchek
- Abramson Cancer Center and Basser Center for BRCA, University of Pennsylvania, Philadelphia, PA 19104, USA; and 16Department of Dermatology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - David E Goldgar
- Department of Medicine, Boston University School of Medicine, and Slone Epidemiology Center, Boston, MA 02118, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Katherine L Nathanson
- Abramson Cancer Center and Basser Center for BRCA, University of Pennsylvania, Philadelphia, PA 19104, USA; and 16Department of Dermatology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Peter Kraft
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Song Yao
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Fergus J Couch
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
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Shokrani B, Brim H, Hydari T, Afsari A, Lee E, Nouraie M, Sherif Z, Ashktorab H. Analysis of β-catenin association with obesity in African Americans with premalignant and malignant colorectal lesions. BMC Gastroenterol 2020; 20:274. [PMID: 32811441 PMCID: PMC7433356 DOI: 10.1186/s12876-020-01412-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 08/07/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND African Americans (AA) are at high risk for Colorectal Cancer (CRC). Studies report a 30-60% increase in CRC risk with physical inactivity, obesity and metabolic syndrome. Activation of the WNT/β-catenin (CTNNB1) signaling pathway plays a critical role in colorectal carcinogenesis. Accumulating evidence also indicates a role of WNT-CTNNB1 signaling in obesity and metabolic diseases. AIM To examine the association between obesity, β-Catenin expression and colonic lesions in African Americans. METHODS We reviewed the pathology records of 152 colorectal specimens from 2010 to 2012 (46 CRCs, 74 advanced adenomas and 32 normal colon tissues). Tissue Microarrays (TMA) were constructed from these samples. Immunohistochemistry (IHC) for CTNNB1 (β-Catenin; clone β-Catenin-1) was performed on the constructed TMAs. The IHC results were evaluated by 2 pathologists and the nuclear intensity staining was scored from 0 to 4. BMI, sex, age, location of the lesion and other demographic data were obtained. RESULTS Positive nuclear staining in normal, advanced adenoma and CRC was 0, 24 and 41%, respectively (P < 0.001). CRC was asso ciated with positive status for nuclear CTNNB1 intensity (adjusted OR: 3.40, 95%CI = 1.42-8.15, P = 0.006 for positive nuclear staining) compared to non-CRC samples (Normal or advanced adenoma). Nuclear staining percentage has a fair diagnostic ability for CRC with an AUC of 0.63 (95%CI = 0.55-0.71). Overweight/obese patients (BMI > 25) did not show a significant difference in (p = 0.3) nuclear CTNNB1 staining (17% positive in normal weight vs. 27% positive in overweight/obese). The association between nuclear intensity and CRC was not different between normal and overweight patients (P for interaction = 0.6). The positive nuclear CTNNB1status in CRC stage III and IV (35% of all CRC) was not different from stage I and II (50% vs. 36%, respectively, P = 0.4). CONCLUSION In our study, advanced adenoma and CRC were associated with activation of β-catenin in physically fit, overweight and obese patients. Thus, obesity and WNT/β-Catenin pathway seem to be independent in African American patients. WNT/β-Catenin signaling pathway has a potential to be used as an effector in colon carcinogenic transformation. Whether or not BMI is a modifier of this pathway needs to be investigated further.
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Affiliation(s)
- Babak Shokrani
- Department of Medicine, Department of Pathology and Cancer Center, Howard University College of Medicine, 2041 Georgia Avenue, N.W, Washington, D.C, 20060, USA.
| | - Hassan Brim
- grid.257127.40000 0001 0547 4545Department of Medicine, Department of Pathology and Cancer Center, Howard University College of Medicine, 2041 Georgia Avenue, N.W, Washington, D.C, 20060 USA
| | - Tahmineh Hydari
- grid.257127.40000 0001 0547 4545Department of Medicine, Department of Pathology and Cancer Center, Howard University College of Medicine, 2041 Georgia Avenue, N.W, Washington, D.C, 20060 USA
| | - Ali Afsari
- grid.257127.40000 0001 0547 4545Department of Medicine, Department of Pathology and Cancer Center, Howard University College of Medicine, 2041 Georgia Avenue, N.W, Washington, D.C, 20060 USA
| | - Edward Lee
- grid.257127.40000 0001 0547 4545Department of Medicine, Department of Pathology and Cancer Center, Howard University College of Medicine, 2041 Georgia Avenue, N.W, Washington, D.C, 20060 USA
| | - Mehdi Nouraie
- grid.21925.3d0000 0004 1936 9000Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburg, Pittsburg, PA USA
| | - Zaki Sherif
- grid.257127.40000 0001 0547 4545Department of Medicine, Department of Pathology and Cancer Center, Howard University College of Medicine, 2041 Georgia Avenue, N.W, Washington, D.C, 20060 USA
| | - Hassan Ashktorab
- Department of Medicine, Department of Pathology and Cancer Center, Howard University College of Medicine, 2041 Georgia Avenue, N.W, Washington, D.C, 20060, USA.
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20
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Patel AV, Hodge JM, Rees-Punia E, Teras LR, Campbell PT, Gapstur SM. Relationship Between Muscle-Strengthening Activity and Cause-Specific Mortality in a Large US Cohort. Prev Chronic Dis 2020; 17:E78. [PMID: 32762807 PMCID: PMC7417019 DOI: 10.5888/pcd17.190408] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION Muscle-strengthening activity (MSA) has beneficial effects on hypertension, glucose homeostasis, and other health conditions; however, its association with mortality is not as well understood. METHODS We analyzed data from the Cancer Prevention Study-II Nutrition Cohort (data collection 1982-2014), a prospective US cohort that consisted of 72,462 men and women who were free of major chronic diseases; 18,034 of the cohort died during 13 years of follow-up (2001-2014). We used Cox proportional hazards modeling, controlling for various potential confounding factors, to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for MSA (none, >0 to <1 h/wk, 1 to <2 h/wk, and ≥2 h/wk) in relation to mortality risk, independent of and in combination with aerobic physical activity. RESULTS The association between MSA and mortality appeared to be nonlinear (quadratic trend P value, <.001). After multivariable adjustment and comparison with no MSA, engaging in less than 2 hours per week of MSA was associated with lowered all-cause mortality (>0 to <1 h/wk: HR = 0.88, 95% CI, 0.82-0.94; 1 to <2 h/wk: HR = 0.90, 95% CI, 0.84-0.97), but engaging in 2 or more hours per week was not associated with reduced risk (HR = 1.01; 95% CI, 0.92-1.09). Associations were similar but not significant for cancer mortality. Engaging in >0 to <1 hr/wk of MSA was associated with a 19% lower risk (HR = 0.81; 95% CI, 0.71-0.92) of cardiovascular disease mortality, but more time spent in MSA was not associated with reduced risk (quadratic trend P value =.005). Associations did not vary by amount of moderate-to-vigorous aerobic physical activity. CONCLUSION Engaging in ≥2 hours per week of MSA was associated with lower all-cause mortality, independent of aerobic activity. Reasons for the lack of association with higher amounts of MSA are unclear. Our findings support recommending muscle-strengthening activities for overall health.
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Affiliation(s)
- Alpa V Patel
- Behavioral and Epidemiology Research Group, American Cancer Society, 250 Williams St NW, Atlanta, GA 30303.
| | - James M Hodge
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Erika Rees-Punia
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Lauren R Teras
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Susan M Gapstur
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
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21
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Surgical management of biliary malignancy. Curr Probl Surg 2020; 58:100854. [PMID: 33531120 DOI: 10.1016/j.cpsurg.2020.100854] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 06/12/2020] [Indexed: 02/07/2023]
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22
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Anderson C, Gapstur SM, Leach CR, Smith TG, Teras LR. Medical conditions and physical function deficits among multiple primary cancer survivors. J Cancer Surviv 2020; 14:518-526. [PMID: 32166577 DOI: 10.1007/s11764-020-00872-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 03/04/2020] [Indexed: 12/27/2022]
Abstract
PURPOSE Survivors of multiple primary cancers make up a sizable proportion of all cancer survivors, yet little is known about the health of this population. We examined the prevalence of medical conditions and physical function deficits among multiple primary survivors compared with single primary survivors and individuals without a cancer history. METHODS Participants were enrolled in the Cancer Prevention Study (CPS)-II Nutrition Cohort in 1992/1993. Prevalent medical conditions (diabetes, heart conditions, cerebrovascular conditions, emphysema/chronic bronchitis, osteoporosis, osteoarthritis), physical function limitations, use of a cane or walker, balance difficulties, and falls within the past year were assessed on a follow-up survey completed in 2011. We estimated age- and sex-adjusted prevalence ratios (PRs), comparing multiple primary survivors (N = 1003) to single primary survivors (N = 12,849) and participants without cancer (N = 63,578). RESULTS The prevalence of medical conditions did not differ substantially between multiple primary survivors and either comparison group. However, multiple primary survivors were more likely to report severe limitations in physical function than the single primary (PR = 1.48 (95% CI, 1.28-1.71)) and no-cancer (PR = 1.64 (95% CI, 1.42-1.88)) groups. Using a cane or walker and balance difficulties were also significantly more common among multiple primary survivors. CONCLUSIONS Despite a similar prevalence of comorbid medical conditions, severe functional limitations were significantly more common among multiple primary survivors than single primary survivors or individuals without cancer. IMPLICATIONS FOR CANCER SURVIVORS Assessment of functional status and treatment of physical deficits may be an especially critical component of care for older patients with a history of multiple cancer diagnoses.
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23
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Rittase M, Kirkland E, Dudas DM, Patel AV. Survey Item Response Rates by Survey Modality, Language, and Sociodemographic Factors in a Large U.S. Cohort. Cancer Epidemiol Biomarkers Prev 2020; 29:724-730. [DOI: 10.1158/1055-9965.epi-19-0757] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 09/20/2019] [Accepted: 02/11/2020] [Indexed: 11/16/2022] Open
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24
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Hayes RB, Ahn J, Fan X, Peters BA, Ma Y, Yang L, Agalliu I, Burk RD, Ganly I, Purdue MP, Freedman ND, Gapstur SM, Pei Z. Association of Oral Microbiome With Risk for Incident Head and Neck Squamous Cell Cancer. JAMA Oncol 2019; 4:358-365. [PMID: 29327043 DOI: 10.1001/jamaoncol.2017.4777] [Citation(s) in RCA: 181] [Impact Index Per Article: 36.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Importance Case-control studies show a possible relationship between oral bacteria and head and neck squamous cell cancer (HNSCC). Prospective studies are needed to examine the temporal relationship between oral microbiome and subsequent risk of HNSCC. Objective To prospectively examine associations between the oral microbiome and incident HNSCC. Design, Setting, and Participants This nested case-control study was carried out in 2 prospective cohort studies: the American Cancer Society Cancer Prevention Study II Nutrition Cohort (CPS-II) and the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO). Among 122 004 participants, 129 incident patient cases of HNSCC were identified during an average 3.9 years of follow-up. Two controls per patient case (n = 254) were selected through incidence density sampling, matched on age, sex, race/ethnicity, and time since mouthwash collection. All participants provided mouthwash samples and were cancer-free at baseline. Exposures Oral microbiome composition and specific bacterial abundances were determined through bacterial 16S rRNA gene sequencing. Overall oral microbiome composition and specific taxa abundances were compared for the case group and the control group, using PERMANOVA and negative binomial generalized linear models, respectively, controlling for age, sex, race, cohort, smoking, alcohol, and oral human papillomavirus-16 status. Taxa with a 2-sided false discovery rate (FDR)-adjusted P-value (q-value) <.10 were considered significant. Main Outcomes and Measures Incident HNSCC. Results The study included 58 patient cases from CPS-II (mean [SD] age, 71.0 [6.4] years; 16 [27.6%] women) and 71 patient cases from PLCO (mean [SD] age, 62.7 [4.8] years; 13 [18.3%] women). Two controls per patient case (n = 254) were selected through incidence density sampling, matched on age, sex, race/ethnicity, and time since mouthwash collection. Head and neck squamous cell cancer cases and controls were similar with respect to age, sex, and race. Patients in the case group were more often current tobacco smokers, tended to have greater alcohol consumption (among drinkers), and to be positive for oral carriage of papillomavirus-16. Overall microbiome composition was not associated with risk of HNSCC. Greater abundance of genera Corynebacterium (fold change [FC], 0.58; 95% confidence interval [CI], 0.41-0.80; q = .06) and Kingella (FC, 0.63; 95% CI, 0.46-0.86; q = .08) were associated with decreased risk of HNSCC, potentially owing to carcinogen metabolism capacity. These findings were consistent for both cohorts and by cohort follow-up time. The observed relationships tended to be stronger for larynx cancer and for individuals with a history of tobacco use. Conclusions and Relevance This study demonstrates that greater oral abundance of commensal Corynebacterium and Kingella is associated with decreased risk of HNSCC, with potential implications for cancer prevention.
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Affiliation(s)
- Richard B Hayes
- Department of Population Health, New York University School of Medicine, New York.,NYU Perlmutter Cancer Center, New York University School of Medicine, New York
| | - Jiyoung Ahn
- Department of Population Health, New York University School of Medicine, New York.,NYU Perlmutter Cancer Center, New York University School of Medicine, New York
| | - Xiaozhou Fan
- Department of Population Health, New York University School of Medicine, New York
| | - Brandilyn A Peters
- Department of Population Health, New York University School of Medicine, New York
| | - Yingfei Ma
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Liying Yang
- Department of Medicine, New York University School of Medicine, New York
| | - Ilir Agalliu
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, New York
| | - Robert D Burk
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, New York.,Departments of Pediatrics; Microbiology & Immunology; Obstetrics, Gynecology & Women's Health, Albert Einstein College of Medicine, New York, New York
| | - Ian Ganly
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Zhiheng Pei
- NYU Perlmutter Cancer Center, New York University School of Medicine, New York.,Department of Pathology, New York University School of Medicine, New York.,Department of Veterans Affairs New York Harbor Healthcare System, New York
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25
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Yu B, Zanetti KA, Temprosa M, Albanes D, Appel N, Barrera CB, Ben-Shlomo Y, Boerwinkle E, Casas JP, Clish C, Dale C, Dehghan A, Derkach A, Eliassen AH, Elliott P, Fahy E, Gieger C, Gunter MJ, Harada S, Harris T, Herr DR, Herrington D, Hirschhorn JN, Hoover E, Hsing AW, Johansson M, Kelly RS, Khoo CM, Kivimäki M, Kristal BS, Langenberg C, Lasky-Su J, Lawlor DA, Lotta LA, Mangino M, Le Marchand L, Mathé E, Matthews CE, Menni C, Mucci LA, Murphy R, Oresic M, Orwoll E, Ose J, Pereira AC, Playdon MC, Poston L, Price J, Qi Q, Rexrode K, Risch A, Sampson J, Seow WJ, Sesso HD, Shah SH, Shu XO, Smith GCS, Sovio U, Stevens VL, Stolzenberg-Solomon R, Takebayashi T, Tillin T, Travis R, Tzoulaki I, Ulrich CM, Vasan RS, Verma M, Wang Y, Wareham NJ, Wong A, Younes N, Zhao H, Zheng W, Moore SC. The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies. Am J Epidemiol 2019; 188:991-1012. [PMID: 31155658 PMCID: PMC6545286 DOI: 10.1093/aje/kwz028] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 01/29/2019] [Accepted: 01/29/2019] [Indexed: 12/11/2022] Open
Abstract
The Consortium of Metabolomics Studies (COMETS) was established in 2014 to facilitate large-scale collaborative research on the human metabolome and its relationship with disease etiology, diagnosis, and prognosis. COMETS comprises 47 cohorts from Asia, Europe, North America, and South America that together include more than 136,000 participants with blood metabolomics data on samples collected from 1985 to 2017. Metabolomics data were provided by 17 different platforms, with the most frequently used labs being Metabolon, Inc. (14 cohorts), the Broad Institute (15 cohorts), and Nightingale Health (11 cohorts). Participants have been followed for a median of 23 years for health outcomes including death, cancer, cardiovascular disease, diabetes, and others; many of the studies are ongoing. Available exposure-related data include common clinical measurements and behavioral factors, as well as genome-wide genotype data. Two feasibility studies were conducted to evaluate the comparability of metabolomics platforms used by COMETS cohorts. The first study showed that the overlap between any 2 different laboratories ranged from 6 to 121 metabolites at 5 leading laboratories. The second study showed that the median Spearman correlation comparing 111 overlapping metabolites captured by Metabolon and the Broad Institute was 0.79 (interquartile range, 0.56-0.89).
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Affiliation(s)
- Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas
| | - Krista A Zanetti
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland
| | - Marinella Temprosa
- Department of Epidemiology and Biostatistics Milken Institute School of Public Health, George Washington University, Washington, DC
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Nathan Appel
- Information Management Services, Inc., Rockville, Maryland
| | - Clara Barrios Barrera
- Department of Nephrology, Hospital del Mar, Institut Mar d´Investigacions Mediques, Barcelona, Spain
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Juan P Casas
- Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, United Kingdom
| | - Clary Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
| | - Caroline Dale
- Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, United Kingdom
| | - Abbas Dehghan
- Medical Research Council–Public Health England Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Andriy Derkach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston Massachusetts
| | - Paul Elliott
- Medical Research Council–Public Health England Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- National Institute for Health Research, Imperial College Biomedical Research Center, London, United Kingdom
- Health Data Research UK Center at Imperial College London, London, United Kingdom
| | - Eoin Fahy
- Department of Bioengineering, School of Engineering, University of California, San Diego, La Jolla, California
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Sei Harada
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan
| | - Tamara Harris
- Laboratory of Epidemiology and Population Science Laboratory
| | - Deron R Herr
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Biology, San Diego State University, San Diego, California
| | - David Herrington
- Department of Internal Medicine, Division of Cardiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Joel N Hirschhorn
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
- Division of Endocrinology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Genetics, Harvard Medical School, Boston, Massachusetts
| | - Elise Hoover
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland
| | - Ann W Hsing
- Stanford Prevention Research Center, Stanford Cancer Institute, Stanford, California
| | | | - Rachel S Kelly
- Systems Genetics and Genomics Unit, Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Chin Meng Khoo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Medicine, National University Health System, Singapore
- Duke–National University of Singapore Graduate Medical School, Singapore
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Bruce S Kristal
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Jessica Lasky-Su
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Deborah A Lawlor
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
| | - Luca A Lotta
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Loïc Le Marchand
- University of Hawaii Cancer Center, Epidemiology Program, Honolulu, Hawaii
| | - Ewy Mathé
- Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, Ohio
| | - Charles E Matthews
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Lorelei A Mucci
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston Massachusetts
| | - Rachel Murphy
- Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Matej Oresic
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Eric Orwoll
- Department of Medicine, Oregon Health and Science University, Portland, Oregon
| | - Jennifer Ose
- Division of Cancer Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Alexandre C Pereira
- Instituto de Pesquisas Rene Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brazil
| | - Mary C Playdon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
- Division of Cancer Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, Utah
| | - Lucilla Poston
- Department of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College London, St. Thomas’ Hospital, London, United Kingdom
| | - Jackie Price
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Kathryn Rexrode
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Adam Risch
- Information Management Services, Inc., Rockville, Maryland
| | - Joshua Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Howard D Sesso
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston Massachusetts
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Svati H Shah
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina
- Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
- Duke Clinical Research Institute, Durham, North Carolina
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Gordon C S Smith
- Department of Obstetrics and Gynaecology, National Institute for Health Research, Cambridge Comprehensive Biomedical Research Center, University of Cambridge, Cambridge, United Kingdom
| | - Ulla Sovio
- Center for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom
| | - Victoria L Stevens
- Department of Obstetrics and Gynaecology, University of Cambridge, National Institute for Health Research Cambridge Comprehensive Biomedical Research Centre, Cambridge, United Kingdom
| | | | - Toru Takebayashi
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Therese Tillin
- Institute of Cardiovascular Sciences, University College London, London, United Kingdom
| | - Ruth Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ioanna Tzoulaki
- Medical Research Council–Public Health England Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Cornelia M Ulrich
- Division of Cancer Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
- Framingham Heart Study, Framingham, Massachusetts
| | - Mukesh Verma
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland
| | - Ying Wang
- Department of Obstetrics and Gynaecology, University of Cambridge, National Institute for Health Research Cambridge Comprehensive Biomedical Research Centre, Cambridge, United Kingdom
| | - Nick J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at University College London, London, United Kingdom
| | - Naji Younes
- Department of Epidemiology and Biostatistics Milken Institute School of Public Health, George Washington University, Washington, DC
| | - Hua Zhao
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
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Brown SD, Hedderson MM, Ehrlich SF, Galarce MN, Tsai AL, Quesenberry CP, Ferrara A. Gestational weight gain and optimal wellness (GLOW): rationale and methods for a randomized controlled trial of a lifestyle intervention among pregnant women with overweight or obesity. BMC Pregnancy Childbirth 2019; 19:145. [PMID: 31039753 PMCID: PMC6492416 DOI: 10.1186/s12884-019-2293-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 04/12/2019] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Excess gestational weight gain (GWG) is common among women with overweight or obesity, increasing their risks for pregnancy complications, delivering a large infant, and postpartum weight retention. To date, only intensive interventions have had success and few interventions have been designed for implementation in healthcare settings. METHODS We describe the development, rationale, and methods of GLOW (GestationaL Weight Gain and Optimal Wellness), a randomized controlled trial evaluating the efficacy of a lifestyle intervention to prevent excess GWG among racially/ethnically diverse women with overweight or obesity in an integrated healthcare delivery system. Participants in Kaiser Permanente Northern California will be randomized, within 2 weeks of completing a study baseline clinic visit at 10 weeks' gestation, to either usual medical care or a multi-component pregnancy lifestyle intervention adapted from the Diabetes Prevention Program (target N = 400). Informed by focus groups with patients and designed to be feasible in a clinical setting, the intervention will include 13 weekly individual sessions (11 delivered by telephone) focused on behavior change for weight management, healthy eating, physical activity, and stress management. Outcomes will be assessed in women and their infants from randomization to 12 months postpartum. The primary outcome is GWG. Secondary outcomes include changes in diet and physical activity during pregnancy and infant birthweight. Exploratory outcomes include cardiometabolic profile assessed via pregnancy blood samples and cord blood samples; and postpartum weight retention and infant anthropometrics up to 12 months of age. The trial includes systematic approaches to enhance intervention fidelity, intervention adherence, and participant retention in trial assessments. DISCUSSION GLOW is among few trials targeting excess GWG among diverse women with overweight or obesity in a healthcare setting, with long-term maternal and infant outcomes assessed up to 12 months after delivery. This evaluation of a multi-component intervention is designed to produce generalizable results to inform potential adoption of the intervention in clinical settings. TRIAL REGISTRATION ClinicalTrials.gov ( NCT02130232 ): submitted April 30, 2014; posted May 5, 2014.
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Affiliation(s)
- Susan D. Brown
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612 USA
| | - Monique M. Hedderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612 USA
| | - Samantha F. Ehrlich
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612 USA
- The University of Tennessee, Knoxville, TN USA
| | - Maren N. Galarce
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612 USA
| | - Ai-Lin Tsai
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612 USA
| | | | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612 USA
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Alcaraz KI, Eddens KS, Blase JL, Diver WR, Patel AV, Teras LR, Stevens VL, Jacobs EJ, Gapstur SM. Social Isolation and Mortality in US Black and White Men and Women. Am J Epidemiol 2019; 188:102-109. [PMID: 30325407 DOI: 10.1093/aje/kwy231] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Accepted: 09/24/2018] [Indexed: 01/06/2023] Open
Abstract
Social isolation is associated with higher mortality in studies comprising mostly white adults, yet associations among black adults are unclear. In this prospective cohort study, we evaluated whether associations of social isolation with all-cause, cardiovascular disease, and cancer mortality differed by race and sex. Adults enrolled in Cancer Prevention Study II in 1982/1983 were followed for mortality through 2012 (n = 580,182). Sex- and race-specific multivariable-adjusted hazard ratios and 95% confidence intervals were estimated for associations of a 5-point social isolation score with risk of death. Social isolation was associated with all-cause mortality in all subgroups (P for trend ≤ 0.005); for the most isolated versus the least isolated, the hazard ratios were 2.34 (95% confidence interval (CI): 1.58, 3.46) and 1.60 (95% CI: 1.41, 1.82) among black men and white men, respectively (P for interaction = 0.40) and 2.13 (95% CI: 1.44, 3.15) and 1.84 (95% CI: 1.68, 2.01) among black women and white women, respectively (P for interaction = 0.89). The association did not differ between black men and black women (P for interaction = 0.33) but was slightly stronger in white women than in white men (P for interaction = 0.01). Social isolation was associated with cardiovascular disease mortality in each subgroup (P for trend < 0.03) but with cancer mortality only among whites (P for trend < 0.0001). Subgroup differences in the influence of specific social isolation components were identified. Identifying and intervening with socially isolated adults could improve health outcomes.
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Affiliation(s)
- Kassandra I Alcaraz
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Katherine S Eddens
- Department of Health, Behavior and Society, College of Public Health, University of Kentucky, Lexington, Kentucky
| | - Jennifer L Blase
- School of Computer Science, Georgia Institute of Technology, Atlanta, Georgia
| | - W Ryan Diver
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Alpa V Patel
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Lauren R Teras
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Victoria L Stevens
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Eric J Jacobs
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Susan M Gapstur
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
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Butt J, Varga MG, Blot WJ, Teras L, Visvanathan K, Le Marchand L, Haiman C, Chen Y, Bao Y, Sesso HD, Wassertheil-Smoller S, Ho GY, Tinker LE, Peek RM, Potter JD, Cover TL, Hendrix LH, Huang LC, Hyslop T, Um C, Grodstein F, Song M, Zeleniuch-Jacquotte A, Berndt S, Hildesheim A, Waterboer T, Pawlita M, Epplein M. Serologic Response to Helicobacter pylori Proteins Associated With Risk of Colorectal Cancer Among Diverse Populations in the United States. Gastroenterology 2019; 156:175-186.e2. [PMID: 30296434 PMCID: PMC6309494 DOI: 10.1053/j.gastro.2018.09.054] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Revised: 09/12/2018] [Accepted: 09/27/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND & AIMS Previous studies reported an association of the bacteria Helicobacter pylori, the primary cause of gastric cancer, and risk of colorectal cancer (CRC). However, these findings have been inconsistent, appear to vary with population characteristics, and may be specific for virulence factor VacA. To more thoroughly evaluate the potential association of H pylori antibodies with CRC risk, we assembled a large consortium of cohorts representing diverse populations in the United States. METHODS We used H pylori multiplex serologic assays to analyze serum samples from 4063 incident cases of CRC, collected before diagnosis, and 4063 matched individuals without CRC (controls) from 10 prospective cohorts for antibody responses to 13 H pylori proteins, including virulence factors VacA and CagA. The association of seropositivity to H pylori proteins, as well as protein-specific antibody level, with odds of CRC was determined by conditional logistic regression. RESULTS Overall, 40% of controls and 41% of cases were H pylori-seropositive (odds ratio [OR], 1.09; 95% CI, 0.99-1.20). H pylori VacA-specific seropositivity was associated with an 11% increased odds of CRC (OR, 1.11; 95% CI, 1.01-1.22), and this association was particularly strong among African Americans (OR, 1.45; 95% CI, 1.08-1.95). Additionally, odds of CRC increased with level of VacA antibody in the overall cohort (P = .008) and specifically among African Americans (P = .007). CONCLUSIONS In an analysis of a large consortium of cohorts representing diverse populations, we found serologic responses to H pylori VacA to associate with increased risk of CRC risk, particularly for African Americans. Future studies should seek to understand whether this marker is related to virulent H pylori strains carried in these populations.
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Affiliation(s)
- Julia Butt
- Infection and Cancer Epidemiology, Division of Molecular Diagnostics of Oncogenic Infections, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany (; ; )
- Cancer Control and Population Sciences Program, Duke Cancer Institute, and Department of Population Health Sciences, Duke University, 2424 Erwin Road, Suite 602, Durham, NC 27705, USA ()
| | - Matthew G. Varga
- University of North Carolina at Chapel Hill, Department of Epidemiology, Gillings School for Global Public Health and Lineberger Comprehensive Cancer Center, 2102E McGavran Greenberg Hall, Chapel Hill, NC 27599, USA ()
| | - William J. Blot
- Division of Epidemiology, Vanderbilt University Medical Center, 2525 West End Avenue Nashville, TN 37203, USA ()
| | - Lauren Teras
- Behavioral and Epidemiology Research Group, American Cancer Society, 250 Williams St, Atlanta, GA 30303, USA (; )
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins School of Public Health, 615 N. Wolfe Street, Baltimore, MD 21205 USA ()
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawai’i Cancer Center, 701 Ilalo Street, Honolulu, HI 96813 USA ()
| | - Christopher Haiman
- University of Southern California and USC Norris Comprehensive Cancer Center, Los Angeles, CA, USA ()
| | - Yu Chen
- Department of Population Health, New York University School of Medicine, 650 First Avenue, New York, NY 10016 USA (; )
| | - Ying Bao
- Brigham and Women’s Hospital, 75 Francis Street, Boston, MA 02115 USA (; )
| | - Howard D. Sesso
- Brigham and Women’s Hospital, 75 Francis Street, Boston, MA 02115 USA (; )
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Boston, MA 02115 USA (; )
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA ()
| | - Gloria Y.F. Ho
- Department of Occupational Medicine, Epidemiology and Prevention, Feinstein Institute for Medical Research, Northwell Health; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, NY 11021 USA ()
| | - Lesley E. Tinker
- Cancer Prevention Program, Division of Public Health Sciences at Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue, Seattle, WA 98109 USA ()
| | - Richard M. Peek
- Division of Gastroenterology, Department of Medicine, Vanderbilt University Medical Center, 2215 Garland Avenue, 1030C MRB IV (1025C), Nashville, TN 37232 USA, ()
| | - John D. Potter
- Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue, Seattle WA 98109 USA ()
| | - Timothy L. Cover
- Department of Medicine and Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232 USA; Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN USA ()
| | - Laura H. Hendrix
- Department of Biostatistics and Bioinformatics, Duke University, 2424 Erwin Road, Durham, NC 27705 USA (; )
| | - Li-Ching Huang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37203 USA ()
| | - Terry Hyslop
- Cancer Control and Population Sciences Program, Duke Cancer Institute, and Department of Population Health Sciences, Duke University, 2424 Erwin Road, Suite 602, Durham, NC 27705, USA ()
- Department of Biostatistics and Bioinformatics, Duke University, 2424 Erwin Road, Durham, NC 27705 USA (; )
| | - Caroline Um
- Behavioral and Epidemiology Research Group, American Cancer Society, 250 Williams St, Atlanta, GA 30303, USA (; )
| | - Francine Grodstein
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Boston, MA 02115 USA (; )
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Boston, MA 02115 USA (; )
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115 USA ()
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115 USA, ()
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, 650 First Avenue, New York, NY 10016 USA (; )
| | - Sonja Berndt
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Room SG/6E102, Rockville, MD 20850 USA (; )
| | - Allan Hildesheim
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Room SG/6E102, Rockville, MD 20850 USA (; )
| | - Tim Waterboer
- Infection and Cancer Epidemiology, Division of Molecular Diagnostics of Oncogenic Infections, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany (; ; )
| | - Michael Pawlita
- Infection and Cancer Epidemiology, Division of Molecular Diagnostics of Oncogenic Infections, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany (; ; )
| | - Meira Epplein
- Cancer Control and Population Sciences Program, Duke Cancer Institute, and Department of Population Health Sciences, Duke University, 2424 Erwin Road, Suite 602, Durham, NC 27705, USA ()
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29
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Kim J, Luo W, Wang M, Wegman-Ostrosky T, Frone MN, Johnston JJ, Nickerson ML, Rotunno M, Li SA, Achatz MI, Brodie SA, Dean M, de Andrade KC, Fortes FP, Gianferante M, Khincha P, McMaster ML, McReynolds LJ, Pemov A, Pinheiro M, Santiago KM, Alter BP, Caporaso NE, Gadalla SM, Goldin LR, Greene MH, Loud J, Yang XR, Freedman ND, Gapstur SM, Gaudet MM, Calista D, Ghiorzo P, Fargnoli MC, Nagore E, Peris K, Puig S, Landi MT, Hicks B, Zhu B, Liu J, Sampson JN, Chanock SJ, Mirabello LJ, Morton LM, Biesecker LG, Tucker MA, Savage SA, Goldstein AM, Stewart DR. Prevalence of pathogenic/likely pathogenic variants in the 24 cancer genes of the ACMG Secondary Findings v2.0 list in a large cancer cohort and ethnicity-matched controls. Genome Med 2018; 10:99. [PMID: 30583724 PMCID: PMC6305568 DOI: 10.1186/s13073-018-0607-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 12/05/2018] [Indexed: 12/20/2022] Open
Abstract
Background Prior research has established that the prevalence of pathogenic/likely pathogenic (P/LP) variants across all of the American College of Medical Genetics (ACMG) Secondary Findings (SF) genes is approximately 0.8–5%. We investigated the prevalence of P/LP variants in the 24 ACMG SF v2.0 cancer genes in a family-based cancer research cohort (n = 1173) and in cancer-free ethnicity-matched controls (n = 982). Methods We used InterVar to classify variants and subsequently conducted a manual review to further examine variants of unknown significance (VUS). Results In the 24 genes on the ACMG SF v2.0 list associated with a cancer phenotype, we observed 8 P/LP unique variants (8 individuals; 0.8%) in controls and 11 P/LP unique variants (14 individuals; 1.2%) in cases, a non-significant difference. We reviewed 115 VUS. The median estimated per-variant review time required was 30 min; the first variant within a gene took significantly (p = 0.0009) longer to review (median = 60 min) compared with subsequent variants (median = 30 min). The concordance rate was 83.3% for the variants examined by two reviewers. Conclusion The 115 VUS required database and literature review, a time- and labor-intensive process hampered by the difficulty in interpreting conflicting P/LP determinations. By rigorously investigating the 24 ACMG SF v2.0 cancer genes, our work establishes a benchmark P/LP variant prevalence rate in a familial cancer cohort and controls. Electronic supplementary material The online version of this article (10.1186/s13073-018-0607-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jung Kim
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Wen Luo
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Leidos Biomedical Research, Inc., Frederick, MD, 21701, USA
| | - Mingyi Wang
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Leidos Biomedical Research, Inc., Frederick, MD, 21701, USA
| | - Talia Wegman-Ostrosky
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA.,División de Investigación, Instituto Nacional de Cancerología, 14080, Mexico City, Mexico
| | - Megan N Frone
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Jennifer J Johnston
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD, 20892, USA
| | - Michael L Nickerson
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Gaithersburg, MD, 20877, USA
| | - Melissa Rotunno
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Shengchao A Li
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Leidos Biomedical Research, Inc., Frederick, MD, 21701, USA
| | - Maria I Achatz
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA.,Centro de Oncologia, Hospital Sirio-Libanes, Sao Paulo, SP, 013050-050, Brazil
| | - Seth A Brodie
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Leidos Biomedical Research, Inc., Frederick, MD, 21701, USA
| | - Michael Dean
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Gaithersburg, MD, 20877, USA
| | - Kelvin C de Andrade
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA.,International Research Center, A.C. Camargo Cancer Center, São Paulo, 01508-010, Brazil
| | - Fernanda P Fortes
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA.,International Research Center, A.C. Camargo Cancer Center, São Paulo, 01508-010, Brazil
| | - Matthew Gianferante
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Payal Khincha
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Mary L McMaster
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Lisa J McReynolds
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Alexander Pemov
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Maisa Pinheiro
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Karina M Santiago
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA.,International Research Center, A.C. Camargo Cancer Center, São Paulo, 01508-010, Brazil
| | - Blanche P Alter
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Neil E Caporaso
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Shahinaz M Gadalla
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Lynn R Goldin
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Mark H Greene
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Jennifer Loud
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Xiaohong R Yang
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Susan M Gapstur
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Mia M Gaudet
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Donato Calista
- Department of Dermatology, Maurizio Bufalini Hospital, Cesena, Italy
| | - Paola Ghiorzo
- Department of Internal Medicine and Medical Specialties, University of Genoa and Genetics of Rare Cancers, IRCCS Ospedale Policinico San Martino, Genoa, Italy
| | | | - Eduardo Nagore
- Department of Dermatology, Instituto Valenciano de Oncologia, Valencia, Spain
| | - Ketty Peris
- Institute of Dermatology, Catholic University - Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Susana Puig
- Dermatology Department, Melanoma Unit, Hospital Clinic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain & Centro de Investigacion Biomedica en Red en Enfermedades Raras (CIBERER), Valencia, Spain
| | - Maria Teresa Landi
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Belynda Hicks
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Leidos Biomedical Research, Inc., Frederick, MD, 21701, USA
| | - Bin Zhu
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Leidos Biomedical Research, Inc., Frederick, MD, 21701, USA
| | - Jia Liu
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Leidos Biomedical Research, Inc., Frederick, MD, 21701, USA
| | - Joshua N Sampson
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Stephen J Chanock
- Office of the Director, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Lisa J Mirabello
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Lindsay M Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Leslie G Biesecker
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD, 20892, USA
| | - Margaret A Tucker
- Division of Cancer Epidemiology and Genetics, Human Genetics Program National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Alisa M Goldstein
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA.
| | - Douglas R Stewart
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA.
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30
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Patel AV, Maliniak ML, Rees-Punia E, Matthews CE, Gapstur SM. Prolonged Leisure Time Spent Sitting in Relation to Cause-Specific Mortality in a Large US Cohort. Am J Epidemiol 2018; 187:2151-2158. [PMID: 29947736 DOI: 10.1093/aje/kwy125] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 06/08/2018] [Indexed: 12/25/2022] Open
Abstract
The majority of leisure time is spent in sedentary behaviors such as television viewing. Studies have documented that prolonged leisure-time sitting is associated with higher risk of mortality-total, cardiovascular disease, cancer, and "all other causes"-but few have examined the "other" causes of death in detail. To examine associations of leisure-time sitting with risk of specific causes of death, we analyzed data from the Cancer Prevention Study II (CPS-II) Nutrition Cohort, a prospective US cohort including 127,554 men and women who were free of major chronic disease at study entry, and among whom 48,784 died during 21 years of follow-up (1993-2014; median follow-up, 20.3 years, interquartile range, 4.6 years). After multivariable adjustment, prolonged leisure-time sitting (≥6 vs. <3 hours per day) was associated with higher risk of mortality from all causes, cardiovascular disease (including coronary heart disease and stroke-specific mortality), cancer, diabetes, kidney disease, suicide, chronic obstructive pulmonary disease, pneumonitis due to solids and liquids, liver, peptic ulcer and other digestive disease, Parkinson disease, Alzheimer disease, nervous disorders, and musculoskeletal disorders. These findings provide additional evidence for associations between a broad range of mortality outcomes and prolonged sitting time. Given the pervasive nature of sitting in the contemporary lifestyle, this study further supports the recommendation that encouraging individuals to reduce sedentary time may provide health benefits.
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Affiliation(s)
- Alpa V Patel
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Maret L Maliniak
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Erika Rees-Punia
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Charles E Matthews
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Susan M Gapstur
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
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Butt J, Blot WJ, Teras LR, Visvanathan K, Le Marchand L, Haiman CA, Chen Y, Bao Y, Sesso HD, Wassertheil-Smoller S, Ho GY, Tinker LF, Peek RM, Potter JD, Cover TL, Hendrix LH, Huang LC, Waterboer T, Pawlita M, Epplein M. Antibody Responses to Streptococcus Gallolyticus Subspecies Gallolyticus Proteins in a Large Prospective Colorectal Cancer Cohort Consortium. Cancer Epidemiol Biomarkers Prev 2018; 27:1186-1194. [PMID: 30038049 PMCID: PMC6170691 DOI: 10.1158/1055-9965.epi-18-0249] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Revised: 05/17/2018] [Accepted: 07/06/2018] [Indexed: 01/19/2023] Open
Abstract
Background: Antibody responses to Streptococcus gallolyticus subspecies gallolyticus (SGG) proteins, especially pilus protein Gallo2178, have been consistently associated with colorectal cancer risk. Previous case-control studies and prospective studies with up to 8 years of follow-up, however, were unable to decipher the temporality of antibody responses to SGG in the context of the long-term multistep development of colorectal cancer. In this study, we analyzed a large U.S. colorectal cancer cohort consortium with follow-up beyond 10 years for antibody responses to SGG.Methods: We applied multiplex serology to measure antibody responses to 9 SGG proteins in participants of 10 prospective U.S. cohorts (CLUE, CPSII, HPFS, MEC, NHS, NYUWHS, PHS, PLCO, SCCS, and WHI) including 4,063 incident colorectal cancer cases and 4,063 matched controls. Conditional logistic regression was used to assess whether antibody responses to SGG were associated with colorectal cancer risk, overall and by time between blood draw and diagnosis.Results: Colorectal cancer risk was increased among those with antibody responses to Gallo2178, albeit not statistically significant [OR, 1.23; 95% confidence interval (CI), 0.99-1.52]. This association was stronger for cases diagnosed <10 years after blood draw (OR, 1.40; 95% CI, 1.09-1.79), but was not found among cases diagnosed ≥10 years after blood draw (OR, 0.79; 95% CI, 0.50-1.24).Conclusions: In a large cohort consortium, we reproduced the association of antibody responses to SGG Gallo2178 with colorectal cancer risk for individuals diagnosed within 10 years after blood draw.Impact: This timing-specific finding suggests that antibody responses to SGG are associated with increased colorectal cancer risk only after tumorigenesis has begun. Cancer Epidemiol Biomarkers Prev; 27(10); 1186-94. ©2018 AACR.
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Affiliation(s)
- Julia Butt
- Division of Molecular Diagnostics of Oncogenic Infections, German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Cancer Control and Population Sciences Program, Duke Cancer Institute, and Department of Population Health Sciences, Duke University, Durham, North Carolina
- Faculty of Biosciences, University of Heidelberg, Heidelberg, Germany
| | - William J Blot
- Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Christopher A Haiman
- University of Southern California and USC Norris Comprehensive Cancer Center, Los Angeles, California
| | - Yu Chen
- Department of Population Health, New York University School of Medicine, New York, New York
| | - Ying Bao
- Brigham and Women's Hospital, Boston, Massachusetts
| | | | | | - Gloria Y Ho
- Department of Occupational Medicine, Epidemiology and Prevention, Feinstein Institute for Medical Research, Hofstra North Shore-LIJ School of Medicine, Great Neck, New York
| | - Lesley F Tinker
- WHI Clinical Coordinating Center at Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Richard M Peek
- Division of Gastroenterology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - John D Potter
- Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Timothy L Cover
- Department of Medicine and Department of Pathology, Microbiology Immunology, Vanderbilt University Medical Center, Nashville, Tennessee
- Veterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee
| | - Laura H Hendrix
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina
| | - Li-Ching Huang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Tim Waterboer
- Division of Molecular Diagnostics of Oncogenic Infections, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Michael Pawlita
- Division of Molecular Diagnostics of Oncogenic Infections, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Meira Epplein
- Cancer Control and Population Sciences Program, Duke Cancer Institute, and Department of Population Health Sciences, Duke University, Durham, North Carolina
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32
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Li Z, Pu Z, Fan J, Li N, Zhu M, Zhang J, Wang Y, Geng L, Cheng Y, Ma H, Jin G, Dai J, Hu Z, Shen H. Fine mapping in TERT-CLPTM1L region identified three independent lung cancer susceptibility signals: A large-scale multi-ethnic population study. Mol Carcinog 2018; 57:1289-1299. [PMID: 29809284 DOI: 10.1002/mc.22843] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2018] [Revised: 05/24/2018] [Accepted: 05/25/2018] [Indexed: 12/31/2022]
Abstract
Genome-wide association studies (GWAS) and fine mapping studies have identified multiple lung cancer susceptibility variants in TERT-CLPTM1L region. However, it is still unclear about the relationship between these risk variants and the independent lung cancer risk signals in this region. Therefore, we evaluated the independent susceptibility signals for lung cancer and explored the potential functional variants in this region. Sequential conditional analysis was used to detect the independent susceptibility loci based on four lung cancer GWAS datasets with 12 843 lung cases and 12 639 controls. Comprehensively functional annotations were performed for each independent signal. Three independent susceptibility signals were identified in multi-ethnic population. For the first signal, rs2736100 showed the most significant association with lung cancer risk (C > A, OR = 0.82, 95%CI: 0.79-0.85, P = 1.98 × 10-25 ). Rs36019446 was the top-ranked site (A > G, OR = 0.88, 95%CI: 0.84-0.92, P = 1.74 × 10-9 ) in the second signal. For the third signal, rs326048 was the leading SNP (A > G, OR = 0.91, 95%CI: 0.87-0.95, P = 1.38 × 10-5 ). The following subgroup analysis found the same three loci among Asian population. Further, we compared the difference between various subgroup populations. Functional annotations revealed that rs2736100, rs27996 (r2 = 0.85 with rs36019446) and rs326049 (r2 = 0.73 with rs326048) could be potential functional variants in these three risk signals, respectively. In conclusion, although multiple variants have been found associated with lung cancer risk in TERT-CLPTM1L region, our findings indicated that there are three independent lung cancer susceptibility signals in this region.
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Affiliation(s)
- Zhihua Li
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhening Pu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jingyi Fan
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Ni Li
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Meng Zhu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jiahui Zhang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yuzhuo Wang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Liguo Geng
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yang Cheng
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - 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
| | - Guangfu Jin
- 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
| | - 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
| | - Zhibin Hu
- 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
| | - 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
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Fan X, Peters BA, Min D, Ahn J, Hayes RB. Comparison of the oral microbiome in mouthwash and whole saliva samples. PLoS One 2018; 13:e0194729. [PMID: 29641531 PMCID: PMC5894969 DOI: 10.1371/journal.pone.0194729] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Accepted: 03/08/2018] [Indexed: 12/14/2022] Open
Abstract
Population-based epidemiologic studies can provide important insight regarding the role of the microbiome in human health and disease. Buccal cells samples using commercial mouthwash have been obtained in large prospective cohorts for the purpose of studying human genomic DNA. We aimed to better understand if these mouthwash samples are also a valid resource for the study of the oral microbiome. We collected one saliva sample and one Scope mouthwash sample from 10 healthy subjects. Bacterial 16S rRNA genes from both types of samples were amplified, sequenced, and assigned to bacterial taxa. We comprehensively compared these paired samples for bacterial community composition and individual taxonomic abundance. We found that mouthwash samples yielded similar amount of bacterial DNA as saliva samples (p from Student's t-test for paired samples = 0.92). Additionally, the paired samples had similar within sample diversity (p from = 0.33 for richness, and p = 0.51 for Shannon index), and clustered as pairs for diversity when analyzed by unsupervised hierarchical cluster analysis. No significant difference was found in the paired samples with respect to the taxonomic abundance of major bacterial phyla, Bacteroidetes, Firmicutes, Proteobacteria, Fusobacteria, and Actinobacteria (FDR adjusted q values from Wilcoxin signed-rank test = 0.15, 0.15, 0.87, 1.00 and 0.15, respectively), and all identified genera, including genus Streptococcus (q = 0.21), Prevotella (q = 0.25), Neisseria (q = 0.37), Veillonella (q = 0.73), Fusobacterium (q = 0.19), and Porphyromonas (q = 0.60). These results show that mouthwash samples perform similarly to saliva samples for analysis of the oral microbiome. Mouthwash samples collected originally for analysis of human DNA are also a resource suitable for human microbiome research.
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Affiliation(s)
- Xiaozhou Fan
- Department of Population Health, NYU School of Medicine, New York, New York, United States of America
| | - Brandilyn A. Peters
- Department of Population Health, NYU School of Medicine, New York, New York, United States of America
| | - Deborah Min
- Department of Population Health, NYU School of Medicine, New York, New York, United States of America
| | - Jiyoung Ahn
- Department of Population Health, NYU School of Medicine, New York, New York, United States of America
- NYU Laura and Isaac Perlmutter Cancer Institute, New York, New York, United States of America
| | - Richard B. Hayes
- Department of Population Health, NYU School of Medicine, New York, New York, United States of America
- NYU Laura and Isaac Perlmutter Cancer Institute, New York, New York, United States of America
- * E-mail:
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Patel AV, Hildebrand JS, Leach CR, Campbell PT, Doyle C, Shuval K, Wang Y, Gapstur SM. Walking in Relation to Mortality in a Large Prospective Cohort of Older U.S. Adults. Am J Prev Med 2018; 54:10-19. [PMID: 29056372 DOI: 10.1016/j.amepre.2017.08.019] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Revised: 08/12/2017] [Accepted: 08/14/2017] [Indexed: 10/18/2022]
Abstract
INTRODUCTION Engaging in >150 minutes of moderate-intensity or 75 minutes of vigorous-intensity physical activity weekly is recommended for optimal health. The relationship between walking, the most common activity especially for older adults, and total mortality is not well documented. METHODS Data from a large U.S. prospective cohort study including 62,178 men (mean age 70.7 years) and 77,077 women (mean age 68.9 years), among whom 24,688 men and 18,933 women died during 13 years of follow-up (1999-2012), were used to compute multivariable-adjusted hazard rate ratios and 95% CIs for walking as the sole form of activity or adjusted for other moderate- or vigorous-intensity physical activity in relation to total and cause-specific mortality (data analysis 2015-2016). RESULTS Inactivity compared with walking only at less than recommended levels was associated with higher all-cause mortality (hazard rate ratio=1.26, 95% CI=1.21, 1.31). Meeting one to two times the recommendations through walking only was associated with lower all-cause mortality (hazard rate ratio=0.80, 95% CI=0.78, 0.83). Associations with walking adjusted for other moderate- or vigorous-intensity physical activity were similar to walking only. Walking was most strongly associated with respiratory disease mortality followed by cardiovascular disease mortality and then cancer mortality. CONCLUSIONS In older adults, walking below minimum recommended levels is associated with lower all-cause mortality compared with inactivity. Walking at or above physical activity recommendations is associated with even greater decreased risk. Walking is simple, free, and does not require any training, and thus is an ideal activity for most Americans, especially as they age.
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Affiliation(s)
- Alpa V Patel
- Intramural Research Department, American Cancer Society, Atlanta, Georgia.
| | - Janet S Hildebrand
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina
| | - Corinne R Leach
- Intramural Research Department, American Cancer Society, Atlanta, Georgia
| | - Peter T Campbell
- Intramural Research Department, American Cancer Society, Atlanta, Georgia
| | - Colleen Doyle
- Cancer Control Department, American Cancer Society, Atlanta, Georgia
| | - Kerem Shuval
- Intramural Research Department, American Cancer Society, Atlanta, Georgia
| | - Ying Wang
- Intramural Research Department, American Cancer Society, Atlanta, Georgia
| | - Susan M Gapstur
- Intramural Research Department, American Cancer Society, Atlanta, Georgia
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35
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O'Reilly ÉJ, Bjornevik K, Schwarzschild MA, McCullough ML, Kolonel LN, Le Marchand L, Manson JE, Ascherio A. Pre-diagnostic plasma urate and the risk of amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2017; 19:194-200. [PMID: 29277115 DOI: 10.1080/21678421.2017.1418005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To prospectively examine for the first time the association between plasma urate levels measured in healthy participants and future amyotrophic lateral sclerosis (ALS) risk. METHODS A pooled case-control study nested in five US prospective cohorts comprising 319,617 participants who provided blood, of which 275 had ALS during follow-up. Pre-diagnostic plasma urate was determined for all participants using a clinical colorimetric enzyme assay. Gender-specific multivariable-adjusted rate ratios (RR) of ALS incidence or death estimated by conditional logistic regression and pooled using inverse-variance weighting. RESULTS In age- and matching factor-adjusted analyses, a 1 mg/dL increase in urate concentration was associated with RR = 0.88 (95% CI: [0.78, 0.997] p = 0.044). After adjustment for BMI, a strong predictor of ALS and urate levels, and other potential covariates, the RR = 0.89 (95% CI: [0.78, 1.02]; p = 0.08 for 1mg/dL increase in urate). CONCLUSION Elevation of plasma urate was modestly inversely associated with the risk of ALS and warrants further study for a potential role in this disease.
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Affiliation(s)
- Éilis J O'Reilly
- a School of Public Health , College of Medicine, University College Cork , Cork , Ireland.,b Department of Nutrition , Harvard TH Chan School of Public Health , Boston , MA , USA
| | - Kjetil Bjornevik
- c Department of Global Public Health and Primary Care , University of Bergen , Bergen , Norway.,d The Norwegian Multiple Sclerosis Competence Center, Department of Neurology , Haukeland University Hospital , Bergen , Norway
| | | | | | - Laurence N Kolonel
- g Epidemiology Program , University of Hawaii Cancer Center , Honolulu , HI , USA
| | - Loic Le Marchand
- g Epidemiology Program , University of Hawaii Cancer Center , Honolulu , HI , USA
| | - Joann E Manson
- h Department of Medicine Brigham and Women's Hospital , Harvard Medical School , Boston , MA , USA.,i Department of Epidemiology , Harvard TH Chan School of Public Health , Boston , MA , USA , and
| | - Alberto Ascherio
- b Department of Nutrition , Harvard TH Chan School of Public Health , Boston , MA , USA.,i Department of Epidemiology , Harvard TH Chan School of Public Health , Boston , MA , USA , and.,j Channing Division of Network Medicine , Brigham and Women's Hospital and Harvard Medical School , Boston , MA , USA
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Kim J, Field A, Schultz KAP, Hill DA, Stewart DR. The prevalence of DICER1 pathogenic variation in population databases. Int J Cancer 2017; 141:2030-2036. [PMID: 28748527 PMCID: PMC5749397 DOI: 10.1002/ijc.30907] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Revised: 07/03/2017] [Accepted: 07/18/2017] [Indexed: 12/26/2022]
Abstract
The DICER1 syndrome is associated with a variety of rare benign and malignant tumors, including pleuropulmonary blastoma (PPB), cystic nephroma (CN) and Sertoli-Leydig cell tumor (SLCT). The prevalence and penetrance of pathogenic DICER1 variation in the general population is unknown. We examined three publicly-available germline whole exome sequence datasets: Exome Aggregation Consortium (ExAC), 1,000 Genomes (1,000 G) and the Exome Sequencing Project (ESP). To avoid over-estimation of pathogenic DICER1 variation from cancer-associated exomes, we excluded The Cancer Genome Atlas (TCGA) variants from ExAC. All datasets were annotated with snpEff and ANNOVAR and variants were classified into four categories: likely benign (LB), unknown significance (VUS), likely pathogenic (LP), or pathogenic (P). The prevalence of DICER1 P/LP variants was 1:870 to 1:2,529 in ExAC-nonTCGA (53,105 exomes) estimated by metaSVM and REVEL/CADD, respectively. A more stringent prevalence calculation considering only loss-of-function and previously-published pathogenic variants detected in ExAC-nonTCGA, yielded a prevalence of 1:10,600. Despite the rarity of most DICER1 syndrome tumors, pathogenic DICER1 variation is more common than expected. If confirmed, these findings may inform future sequencing-based newborn screening programs for PPB, CN and SLCT, in which early detection improves prognosis.
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Affiliation(s)
- Jung Kim
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Amanda Field
- Division of Pathology and Center for Genetic Medicine Research, Children’s National Health System, Washington, DC
| | - Kris Ann P. Schultz
- Cancer and Blood Disorders, Children’s Hospitals and Clinics of Minnesota, Minneapolis, MN
- International Pleuropulmonary Blastoma Registry, Minneapolis, MN
- International Ovarian and Testicular Stromal Tumor Registry, Minneapolis, MN
| | - D. Ashley Hill
- Division of Pathology and Center for Genetic Medicine Research, Children’s National Health System, Washington, DC
- Department of Integrative Systems Biology, George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Douglas R. Stewart
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
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Patel AV, Carter BD, Stevens VL, Gaudet MM, Campbell PT, Gapstur SM. The relationship between physical activity, obesity, and lung cancer risk by smoking status in a large prospective cohort of US adults. Cancer Causes Control 2017; 28:1357-1368. [PMID: 28940119 DOI: 10.1007/s10552-017-0949-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Accepted: 08/28/2017] [Indexed: 12/29/2022]
Abstract
Physical activity has been associated with lower lung cancer risk in numerous studies with estimates ranging from 20 to 50% lower risk in the most versus the least active study participants. Underweight and obesity have also been associated with lower lung cancer risk, with a nonlinear, inverted U-shaped relationship. However, associations of physical activity and obesity with lung cancer are likely significantly confounded by smoking since individuals who smoke are generally less active and leaner than non-smokers, but few studies have examined these associations stratified by smoking status. Using data from 162,679 men and women who were cancer-free at enrollment (1992-1993) in the American Cancer Society Cancer Prevention Study-II Nutrition Cohort, we examined associations of baseline recreational physical activity (MET-hours per week; none, 0.1 to <8.75 (reference), 8.75-17.4, 17.5+ MET-hours/week), baseline body mass index (BMI, weight (kg)/height (m2); <18.5, 18.5-22.0 (reference), 22.1-24.9, 25.0-29.9, 30.0+ kg/m2), and waist circumference (measured in 1997; sex-specific quartiles) in relation to lung cancer risk stratified by smoking status and years since quitting among former smokers (never, current, former <10 years, former, 10-19 years, former 20+ years). Cox proportional hazards modeling computed hazard rate ratios (RR) and 95% confidence intervals (CI) while adjusting for potential confounders. During 2,384,546 person years of follow-up time, 4,669 men and women were diagnosed with lung cancer (453 among never smokers; 1,452 among current smokers; 1,194 among former smokers <10 years since quitting; 725 among former 10-19 years; and 845 among former 20+ years). Physical activity was not associated with lung cancer risk within any of the smoking strata except in former smokers less than 10 years since quitting (RR = 0.77; 95% CI 0.67-0.90 for 17.5+ MET-hours/week). Similarly, BMI was inversely associated with lung cancer in former smokers less than 10 years since quitting (RR = 0.68; 95% CI 0.55-0.84 for 30+ kg/m2) and more modestly in former smokers who quit 10-19 and 20+ years ago. Waist circumference was not associated with lung cancer risk in any smoking category. While being physically active and maintaining a healthy body weight are important for prevention of various chronic diseases, including several types of cancer, our results suggest that physical activity, BMI, and waist circumference are not associated with lung cancer risk, regardless of smoking status.
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Affiliation(s)
- Alpa V Patel
- Epidemiology Research Program, American Cancer Society, 250 Williams St. NW, Atlanta, GA, 30303, USA.
| | - Brian D Carter
- Epidemiology Research Program, American Cancer Society, 250 Williams St. NW, Atlanta, GA, 30303, USA
| | - Victoria L Stevens
- Epidemiology Research Program, American Cancer Society, 250 Williams St. NW, Atlanta, GA, 30303, USA
| | - Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, 250 Williams St. NW, Atlanta, GA, 30303, USA
| | - Peter T Campbell
- Epidemiology Research Program, American Cancer Society, 250 Williams St. NW, Atlanta, GA, 30303, USA
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, 250 Williams St. NW, Atlanta, GA, 30303, USA
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Lee JK, Hahn SJ, Kang HW, Jung JG, Choi HS, Lee JH, Han IW, Jung JH, Kwon JH. Visceral Obesity Is Associated with Gallbladder Polyps. Gut Liver 2016; 10:133-9. [PMID: 26260756 PMCID: PMC4694745 DOI: 10.5009/gnl14506] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Background/Aims Gallbladder polyps (GBP) are a common clinical finding and may possess malignant potential. We conducted this study to determine whether visceral obesity is a risk factor for GBP. Methods We retrospectively reviewed records of subjects who received both ultrasonography and computed tomography with measurements of the areas of visceral adipose tissue and total adipose tissue (TAT) on the same day as health checkups. Results Ninety-three of 1,615 subjects (5.8%) had GBP and were compared with 186 age- and sex-matched controls. VAT (odds ratio [OR], 2.941; 95% confidence interval [CI], 1.325 to 6.529; p=0.008 for the highest quartile vs the lowest quartile) and TAT (OR, 3.568; 95% CI, 1.625 to 7.833; p=0.002 for the highest quartile vs the lowest quartile) were independent risk factors together with hypertension (OR, 2.512; 95% CI, 1.381 to 4.569; p=0.003), diabetes mellitus (OR, 2.942; 95% CI, 1.061 to 8.158; p=0.038), hepatitis B virus positivity (OR, 3.548; 95% CI, 1.295 to 9.716; p=0.014), and a higher level of total cholesterol (OR, 2.232; 95% CI, 1.043 to 4.778; p=0.039 for <200 mg/dL vs ≥240 mg/dL). Body mass index and waist circumference were not meaningful variables. Conclusions Visceral obesity measured by VAT and TAT was associated with GBP irrespective of body mass index or waist circumference.
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Affiliation(s)
- Jun Kyu Lee
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea
| | - Suk Jae Hahn
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea
| | - Hyoun Woo Kang
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea
| | - Jae Gu Jung
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea
| | - Han Seok Choi
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea
| | - Jin Ho Lee
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea
| | - In Woong Han
- Department of Surgery, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea
| | - Jin-Hee Jung
- Department of Radiology, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea
| | - Jae Hyun Kwon
- Department of Radiology, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea
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Agalliu I, Gapstur S, Chen Z, Wang T, Anderson RL, Teras L, Kreimer AR, Hayes RB, Freedman ND, Burk RD. Associations of Oral α-, β-, and γ-Human Papillomavirus Types With Risk of Incident Head and Neck Cancer. JAMA Oncol 2016; 2:599-606. [PMID: 26794505 DOI: 10.1001/jamaoncol.2015.5504] [Citation(s) in RCA: 110] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Importance Prospective studies are needed to examine the temporal relationship between oral human papillomavirus (HPV) detection and risk of head and neck squamous cell carcinoma (HNSCC). Moreover, the oral cavity contains a wide spectrum of α-, β-, and γ-HPV types, but their association with risk of HNSCC is unknown. Objective To prospectively examine associations between α-, β-, and γ-HPV detection in the oral cavity and incident HNSCC. Design A nested case-control study was carried out among 96 650 participants, cancer free at baseline, with available mouthwash samples in 2 prospective cohort studies: (1) the American Cancer Society Cancer Prevention Study II Nutrition Cohort and (2) the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Incident cases of HNSCC (n = 132) were identified during an average 3.9 years of follow-up in both cohorts. Three controls per case (n = 396) were selected through incidence density sampling and matched on age, sex, race/ethnicity, and time since mouthwash collection. Methods Through a next-generation sequencing assay, DNA from α-, β-, and γ-HPV types were detected. Conditional logistic regression models were used to estimate odds ratios (ORs) and 95% CIs, adjusting for smoking history, alcohol consumption, and detection of HPV-16 for β- and γ-HPVs. Main Outcomes and Measures Incident HNSCC, which includes cancers of the oropharynx, oral cavity, and larynx. Results A total of 132 participants developed HNSCC during the follow-up period (103 men and 29 women; average age at baseline, 66.5 years). Oral HPV-16 detection was associated with incident HNSCC (OR, 7.1; 95% CI, 2.2-22.6), with positive association for oropharyngeal SCC (OR, 22.4; 95% CI, 1.8-276.7), but not for oral cavity (OR, 4.5; 95% CI, 0.6-34.7) or laryngeal SCCs (OR, 0.11; 95% CI, 0.01-834.80). Detection of β1-HPV-5 and β2-HPV-38 types, as well as γ-11 and γ-12 species, had ORs for HNSCC that ranged from 2.64 to 5.45 (P < .01 for all comparisons). Detection of β1-HPV-5 type was associated with oropharyngeal (OR, 7.42; 95% CI, 0.98-56.82; P = .054), oral cavity (OR, 5.34; 95% CI, 1.51-18.80; P = .01), and laryngeal SCCs (OR, 2.71; 95% CI, 1.00-7.43; P = .05), whereas γ11- and γ12-HPV species were associated with both oral cavity (OR, 7.47; 95% CI, 1.21-46.17; P = .03; and OR, 6.71; 95% CI, 1.47-30.75; P = .01, respectively) and laryngeal SCCs (OR, 7.49; 95% CI, 1.10-51.04; P = .04 and OR, 5.31; 95% CI, 1.13-24.95; P = .03, respectively). Conclusions and Relevance This study demonstrates that HPV-16 detection precedes the incidence of oropharyngeal SCC. Associations of other HPVs, including γ11- and γ12-HPV species and β1-HPV-5 type suggest a broader role for HPVs in HNSCC etiology.
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Affiliation(s)
- Ilir Agalliu
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | | | - Zigui Chen
- Department of Pediatrics (Genetics), Albert Einstein College of Medicine, Bronx, New York
| | - Tao Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | | | | | - Aimée R Kreimer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Richard B Hayes
- Department of Population Health and Environmental Medicine, New York University, New York
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Robert D Burk
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York3Department of Pediatrics (Genetics), Albert Einstein College of Medicine, Bronx, New York6Departments of Microbiology and Immunology and Obstetrics, Gyn
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Kitahara CM, McCullough ML, Franceschi S, Rinaldi S, Wolk A, Neta G, Olov Adami H, Anderson K, Andreotti G, Beane Freeman LE, Bernstein L, Buring JE, Clavel-Chapelon F, De Roo LA, Gao YT, Gaziano JM, Giles GG, Håkansson N, Horn-Ross PL, Kirsh VA, Linet MS, MacInnis RJ, Orsini N, Park Y, Patel AV, Purdue MP, Riboli E, Robien K, Rohan T, Sandler DP, Schairer C, Schneider AB, Sesso HD, Shu XO, Singh PN, van den Brandt PA, Ward E, Weiderpass E, White E, Xiang YB, Zeleniuch-Jacquotte A, Zheng W, Hartge P, Berrington de González A. Anthropometric Factors and Thyroid Cancer Risk by Histological Subtype: Pooled Analysis of 22 Prospective Studies. Thyroid 2016; 26:306-18. [PMID: 26756356 PMCID: PMC4754509 DOI: 10.1089/thy.2015.0319] [Citation(s) in RCA: 127] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND Greater height and body mass index (BMI) have been associated with an increased risk of thyroid cancer, particularly papillary carcinoma, the most common and least aggressive subtype. Few studies have evaluated these associations in relation to other, more aggressive histologic types or thyroid cancer-specific mortality. METHODS This large pooled analysis of 22 prospective studies (833,176 men and 1,260,871 women) investigated thyroid cancer incidence associated with greater height, BMI at baseline and young adulthood, and adulthood BMI gain (difference between young-adult and baseline BMI), overall and separately by sex and histological subtype using multivariable Cox proportional hazards regression models. Associations with thyroid cancer mortality were investigated in a subset of cohorts (578,922 men and 774,373 women) that contributed cause of death information. RESULTS During follow-up, 2996 incident thyroid cancers and 104 thyroid cancer deaths were identified. All anthropometric factors were positively associated with thyroid cancer incidence: hazard ratios (HR) [confidence intervals (CIs)] for height (per 5 cm) = 1.07 [1.04-1.10], BMI (per 5 kg/m2) = 1.06 [1.02-1.10], waist circumference (per 5 cm) = 1.03 [1.01-1.05], young-adult BMI (per 5 kg/m2) = 1.13 [1.02-1.25], and adulthood BMI gain (per 5 kg/m2) = 1.07 [1.00-1.15]. Associations for baseline BMI and waist circumference were attenuated after mutual adjustment. Baseline BMI was more strongly associated with risk in men compared with women (p = 0.04). Positive associations were observed for papillary, follicular, and anaplastic, but not medullary, thyroid carcinomas. Similar, but stronger, associations were observed for thyroid cancer mortality. CONCLUSION The results suggest that greater height and excess adiposity throughout adulthood are associated with higher incidence of most major types of thyroid cancer, including the least common but most aggressive form, anaplastic carcinoma, and higher thyroid cancer mortality. Potential underlying biological mechanisms should be explored in future studies.
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Affiliation(s)
- Cari M Kitahara
- 1 Division of Cancer Epidemiology and Genetics; National Cancer Institute , Rockville, Maryland
| | | | | | - Sabina Rinaldi
- 3 International Agency for Research on Cancer , Lyon, France
| | - Alicja Wolk
- 4 Division of Nutritional Epidemiology, Institute of Environmental Medicine; Karolinska Institutet , Stockholm, Sweden
| | - Gila Neta
- 5 Division of Cancer Control and Population Sciences; National Cancer Institute , Rockville, Maryland
| | - Hans Olov Adami
- 6 Department of Medical Epidemiology and Biostatistics; Karolinska Institutet , Stockholm, Sweden
- 7 Department of Epidemiology, Harvard School of Public Health , Boston, Massachusetts
| | - Kristin Anderson
- 8 Division of Epidemiology and Community Health, School of Public Health; University of Minnesota , Minneapolis, Minnesota
- 9 Masonic Cancer Center; University of Minnesota , Minneapolis, Minnesota
| | - Gabriella Andreotti
- 1 Division of Cancer Epidemiology and Genetics; National Cancer Institute , Rockville, Maryland
| | - Laura E Beane Freeman
- 1 Division of Cancer Epidemiology and Genetics; National Cancer Institute , Rockville, Maryland
| | - Leslie Bernstein
- 10 Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute , City of Hope, Duarte, California
| | - Julie E Buring
- 7 Department of Epidemiology, Harvard School of Public Health , Boston, Massachusetts
- 11 Division of Preventive Medicine, Department of Medicine; Brigham and Women's Hospital , Boston, Massachusetts
| | - Francoise Clavel-Chapelon
- 12 Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Villejuif, France Paris South University , UMRS Inserm 1018 Team 9, Villejuif, France
| | - Lisa A De Roo
- 13 Department of Global Public Health and Primary Care, University of Bergen , Bergen, Norway
- 14 Epidemiology Branch, National Institute of Environmental Health Sciences , Research Triangle Park, North Carolina
| | - Yu-Tang Gao
- 15 Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine , Shanghai, China
| | - J Michael Gaziano
- 11 Division of Preventive Medicine, Department of Medicine; Brigham and Women's Hospital , Boston, Massachusetts
- 16 Division of Aging; Brigham and Women's Hospital , Boston, Massachusetts
- 17 Massachusetts Veteran's Epidemiology, Research, and Information Center, Geriatric Research Education and Clinical Center , VA Boston Healthcare System, Boston, Massachusetts
| | - Graham G Giles
- 18 Cancer Epidemiology Centre, Cancer Council Victoria , Melbourne, Australia
- 19 Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne , Carlton, Australia
| | - Niclas Håkansson
- 4 Division of Nutritional Epidemiology, Institute of Environmental Medicine; Karolinska Institutet , Stockholm, Sweden
| | | | - Vicki A Kirsh
- 21 Prevention and Cancer Control, Cancer Care Ontario , Toronto, Canada
- 22 Dalla Lana School of Public Health, University of Toronto , Toronto, Canada
| | - Martha S Linet
- 1 Division of Cancer Epidemiology and Genetics; National Cancer Institute , Rockville, Maryland
| | - Robert J MacInnis
- 18 Cancer Epidemiology Centre, Cancer Council Victoria , Melbourne, Australia
- 19 Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne , Carlton, Australia
| | - Nicola Orsini
- 4 Division of Nutritional Epidemiology, Institute of Environmental Medicine; Karolinska Institutet , Stockholm, Sweden
| | - Yikyung Park
- 23 Division of Public Health Sciences, Washington University School of Medicine in St. Louis , St. Louis, Missouri
| | - Alpa V Patel
- 2 Epidemiology Research Program, American Cancer Society , Atlanta, Georgia
| | - Mark P Purdue
- 24 Ontario Institute for Cancer Research , Toronto, Canada
| | - Elio Riboli
- 25 Imperial School of Public Health, Imperial College London , London, United Kingdom
| | - Kimberly Robien
- 26 Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University , Washington, DC
| | - Thomas Rohan
- 27 Department of Epidemiology and Population Health, Albert Einstein College of Medicine , Bronx, New York
| | - Dale P Sandler
- 14 Epidemiology Branch, National Institute of Environmental Health Sciences , Research Triangle Park, North Carolina
| | - Catherine Schairer
- 1 Division of Cancer Epidemiology and Genetics; National Cancer Institute , Rockville, Maryland
| | - Arthur B Schneider
- 28 Section of Endocrinology, Diabetes and Metabolism, University of Illinois at Chicago , Chicago, Illinois
| | - Howard D Sesso
- 7 Department of Epidemiology, Harvard School of Public Health , Boston, Massachusetts
- 11 Division of Preventive Medicine, Department of Medicine; Brigham and Women's Hospital , Boston, Massachusetts
- 16 Division of Aging; Brigham and Women's Hospital , Boston, Massachusetts
| | - Xiao-Ou Shu
- 29 Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine , Nashville, Tennessee
| | - Pramil N Singh
- 30 Center for Health Research, School of Public Health, Loma Linda University , Loma Linda, California
| | - Piet A van den Brandt
- 31 Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University , Maastricht, Netherlands
| | - Elizabeth Ward
- 32 Intramural Research, American Cancer Society , Atlanta, Georgia
| | - Elisabete Weiderpass
- 6 Department of Medical Epidemiology and Biostatistics; Karolinska Institutet , Stockholm, Sweden
- 33 Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway , Tromsø, Norway
- 34 Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research , Oslo, Norway
- 35 Genetic Epidemiology Group, Folkälsan Research Center , Helsinki, Finland
| | - Emily White
- 36 Public Health Services Division, Fred Hutchinson Cancer Research Center , Seattle, Washington
- 37 Department of Epidemiology, University of Washington , Seattle, Washington
| | - Yong-Bing Xiang
- 15 Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine , Shanghai, China
| | - Anne Zeleniuch-Jacquotte
- 38 Division of Epidemiology, Department of Population Health and NYU Cancer Institute, NYU School of Medicine , New York, New York
| | - Wei Zheng
- 29 Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine , Nashville, Tennessee
| | - Patricia Hartge
- 1 Division of Cancer Epidemiology and Genetics; National Cancer Institute , Rockville, Maryland
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Qian DC, Byun J, Han Y, Greene CS, Field JK, Hung RJ, Brhane Y, Mclaughlin JR, Fehringer G, Landi MT, Rosenberger A, Bickeböller H, Malhotra J, Risch A, Heinrich J, Hunter DJ, Henderson BE, Haiman CA, Schumacher FR, Eeles RA, Easton DF, Seminara D, Amos CI. Identification of shared and unique susceptibility pathways among cancers of the lung, breast, and prostate from genome-wide association studies and tissue-specific protein interactions. Hum Mol Genet 2015; 24:7406-20. [PMID: 26483192 PMCID: PMC4664175 DOI: 10.1093/hmg/ddv440] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Revised: 09/11/2015] [Accepted: 10/12/2015] [Indexed: 12/18/2022] Open
Abstract
Results from genome-wide association studies (GWAS) have indicated that strong single-gene effects are the exception, not the rule, for most diseases. We assessed the joint effects of germline genetic variations through a pathway-based approach that considers the tissue-specific contexts of GWAS findings. From GWAS meta-analyses of lung cancer (12 160 cases/16 838 controls), breast cancer (15 748 cases/18 084 controls) and prostate cancer (14 160 cases/12 724 controls) in individuals of European ancestry, we determined the tissue-specific interaction networks of proteins expressed from genes that are likely to be affected by disease-associated variants. Reactome pathways exhibiting enrichment of proteins from each network were compared across the cancers. Our results show that pathways associated with all three cancers tend to be broad cellular processes required for growth and survival. Significant examples include the nerve growth factor (P = 7.86 × 10(-33)), epidermal growth factor (P = 1.18 × 10(-31)) and fibroblast growth factor (P = 2.47 × 10(-31)) signaling pathways. However, within these shared pathways, the genes that influence risk largely differ by cancer. Pathways found to be unique for a single cancer focus on more specific cellular functions, such as interleukin signaling in lung cancer (P = 1.69 × 10(-15)), apoptosis initiation by Bad in breast cancer (P = 3.14 × 10(-9)) and cellular responses to hypoxia in prostate cancer (P = 2.14 × 10(-9)). We present the largest comparative cross-cancer pathway analysis of GWAS to date. Our approach can also be applied to the study of inherited mechanisms underlying risk across multiple diseases in general.
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Affiliation(s)
- David C Qian
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA
| | - Jinyoung Byun
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA
| | - Younghun Han
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA
| | - Casey S Greene
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - John K Field
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool Cancer Research Centre, Liverpool L69 3GA, UK
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Yonathan Brhane
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - John R Mclaughlin
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
| | - Gordon Fehringer
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Maria Teresa Landi
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Albert Rosenberger
- Department of Genetic Epidemiology, University Medical Centre Göttingen, 37099 Göttingen, Germany
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Centre Göttingen, 37099 Göttingen, Germany
| | - Jyoti Malhotra
- Division of Hematology and Oncology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Angela Risch
- Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center, 69120 Heidelberg, Germany
| | - Joachim Heinrich
- Institute of Epidemiology I, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Brian E Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Fredrick R Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Rosalind A Eeles
- Department of Cancer Genetics, Institute of Cancer Research, London SW7 3RP, UK and
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Daniela Seminara
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Christopher I Amos
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA,
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Genkinger JM, Kitahara CM, Bernstein L, Berrington de Gonzalez A, Brotzman M, Elena JW, Giles GG, Hartge P, Singh PN, Stolzenberg-Solomon RZ, Weiderpass E, Adami HO, Anderson KE, Beane-Freeman LE, Buring JE, Fraser GE, Fuchs CS, Gapstur SM, Gaziano JM, Helzlsouer KJ, Lacey JV, Linet MS, Liu JJ, Park Y, Peters U, Purdue MP, Robien K, Schairer C, Sesso HD, Visvanathan K, White E, Wolk A, Wolpin BM, Zeleniuch-Jacquotte A, Jacobs EJ. Central adiposity, obesity during early adulthood, and pancreatic cancer mortality in a pooled analysis of cohort studies. Ann Oncol 2015; 26:2257-66. [PMID: 26347100 PMCID: PMC4621029 DOI: 10.1093/annonc/mdv355] [Citation(s) in RCA: 97] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2015] [Revised: 08/07/2015] [Accepted: 08/16/2015] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Body mass index (BMI), a measure of obesity typically assessed in middle age or later, is known to be positively associated with pancreatic cancer. However, little evidence exists regarding the influence of central adiposity, a high BMI during early adulthood, and weight gain after early adulthood on pancreatic cancer risk. DESIGN We conducted a pooled analysis of individual-level data from 20 prospective cohort studies in the National Cancer Institute BMI and Mortality Cohort Consortium to examine the association of pancreatic cancer mortality with measures of central adiposity (e.g. waist circumference; n = 647 478; 1947 pancreatic cancer deaths), BMI during early adulthood (ages 18-21 years) and BMI change between early adulthood and cohort enrollment, mostly in middle age or later (n = 1 096 492; 3223 pancreatic cancer deaths). Multivariable hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using Cox proportional hazards regression models. RESULTS Higher waist-to-hip ratio (HR = 1.09, 95% CI 1.02-1.17 per 0.1 increment) and waist circumference (HR = 1.07, 95% CI 1.00-1.14 per 10 cm) were associated with increased risk of pancreatic cancer mortality, even when adjusted for BMI at baseline. BMI during early adulthood was associated with increased pancreatic cancer mortality (HR = 1.18, 95% CI 1.11-1.25 per 5 kg/m(2)), with increased risk observed in both overweight and obese individuals (compared with BMI of 21.0 to <23 kg/m(2), HR = 1.36, 95% CI 1.20-1.55 for BMI 25.0 < 27.5 kg/m(2), HR = 1.48, 95% CI 1.20-1.84 for BMI 27.5 to <30 kg/m(2), HR = 1.43, 95% CI 1.11-1.85 for BMI ≥30 kg/m(2)). BMI gain after early adulthood, adjusted for early adult BMI, was less strongly associated with pancreatic cancer mortality (HR = 1.05, 95% CI 1.01-1.10 per 5 kg/m(2)). CONCLUSIONS Our results support an association between pancreatic cancer mortality and central obesity, independent of BMI, and also suggest that being overweight or obese during early adulthood may be important in influencing pancreatic cancer mortality risk later in life.
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Affiliation(s)
- J M Genkinger
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York
| | - C M Kitahara
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - L Bernstein
- Division of Cancer Etiology, City of Hope National Medical Center, Duarte
| | | | | | - J W Elena
- Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, DHHS, Bethesda, USA
| | - G G Giles
- Cancer Epidemiology Centre, Cancer Council of Victoria, and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - P Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - P N Singh
- Department of Epidemiology, Biostatistics and Population Medicine and The Center for Health Research, Loma Linda University School of Medicine, Loma Linda, USA
| | - R Z Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - E Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø Department of Research, Cancer Registry of Norway, Oslo, Norway Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | - H-O Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden Department of Epidemiology, Harvard School of Public Health, Boston
| | - K E Anderson
- Division of Epidemiology and Community Health, School of Public Health, and Masonic Cancer Center, University of Minnesota, Minneapolis
| | - L E Beane-Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - J E Buring
- Department of Epidemiology, Harvard School of Public Health, Boston Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston
| | - G E Fraser
- Department of Epidemiology, Biostatistics and Population Medicine and The Center for Health Research, Loma Linda University School of Medicine, Loma Linda, USA
| | - C S Fuchs
- Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston Department of Medical Oncology, Dana-Farber Cancer Institute, Boston
| | - S M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta
| | - J M Gaziano
- Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston Massachusetts Veterans Epidemiology Research and Information Center, Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Boston
| | - K J Helzlsouer
- The Prevention & Research Center, Mercy Medical Center, Baltimore Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore
| | - J V Lacey
- Division of Cancer Etiology, City of Hope National Medical Center, Duarte
| | - M S Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - J J Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - Y Park
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda Division of Public Health Sciences, Washington University School of Medicine, St Louis
| | - U Peters
- Fred Hutchinson Cancer Research Center, Seattle Department of Epidemiology, University of Washington, Seattle
| | - M P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - K Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington
| | - C Schairer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda
| | - H D Sesso
- Department of Epidemiology, Harvard School of Public Health, Boston Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston
| | - K Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore Department of Medical Oncology, Sidney Kimmel Cancer Center, John Hopkins School of Medicine, Baltimore, USA
| | - E White
- Fred Hutchinson Cancer Research Center, Seattle Department of Epidemiology, University of Washington, Seattle
| | - A Wolk
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - B M Wolpin
- Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston Department of Medical Oncology, Dana-Farber Cancer Institute, Boston
| | - A Zeleniuch-Jacquotte
- Department of Population Health and Perlmutter Cancer Center, New York University, New York, USA
| | - E J Jacobs
- Epidemiology Research Program, American Cancer Society, Atlanta
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Jung S, Wang M, Anderson K, Baglietto L, Bergkvist L, Bernstein L, van den Brandt PA, Brinton L, Buring JE, Eliassen AH, Falk R, Gapstur SM, Giles GG, Goodman G, Hoffman-Bolton J, Horn-Ross PL, Inoue M, Kolonel LN, Krogh V, Lof M, Maas P, Miller AB, Neuhouser ML, Park Y, Robien K, Rohan TE, Scarmo S, Schouten LJ, Sieri S, Stevens VL, Tsugane S, Visvanathan K, Wilkens LR, Wolk A, Weiderpass E, Willett WC, Zeleniuch-Jacquotte A, Zhang SM, Zhang X, Ziegler RG, Smith-Warner SA. Alcohol consumption and breast cancer risk by estrogen receptor status: in a pooled analysis of 20 studies. Int J Epidemiol 2015; 45:916-28. [PMID: 26320033 DOI: 10.1093/ije/dyv156] [Citation(s) in RCA: 85] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/21/2015] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Breast cancer aetiology may differ by estrogen receptor (ER) status. Associations of alcohol and folate intakes with risk of breast cancer defined by ER status were examined in pooled analyses of the primary data from 20 cohorts. METHODS During a maximum of 6-18 years of follow-up of 1 089 273 women, 21 624 ER+ and 5113 ER- breast cancers were identified. Study-specific multivariable relative risks (RRs) were calculated using Cox proportional hazards regression models and then combined using a random-effects model. RESULTS Alcohol consumption was positively associated with risk of ER+ and ER- breast cancer. The pooled multivariable RRs (95% confidence intervals) comparing ≥ 30 g/d with 0 g/day of alcohol consumption were 1.35 (1.23-1.48) for ER+ and 1.28 (1.10-1.49) for ER- breast cancer (Ptrend ≤ 0.001; Pcommon-effects by ER status: 0.57). Associations were similar for alcohol intake from beer, wine and liquor. The associations with alcohol intake did not vary significantly by total (from foods and supplements) folate intake (Pinteraction ≥ 0.26). Dietary (from foods only) and total folate intakes were not associated with risk of overall, ER+ and ER- breast cancer; pooled multivariable RRs ranged from 0.98 to 1.02 comparing extreme quintiles. Following-up US studies through only the period before mandatory folic acid fortification did not change the results. The alcohol and folate associations did not vary by tumour subtypes defined by progesterone receptor status. CONCLUSIONS Alcohol consumption was positively associated with risk of both ER+ and ER- breast cancer, even among women with high folate intake. Folate intake was not associated with breast cancer risk.
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Affiliation(s)
- Seungyoun Jung
- Department of Nutrition, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA,
| | - Molin Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA, Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kristin Anderson
- Division of Epidemiology and Community Health, School of Public Health, and Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Laura Baglietto
- Cancer Epidemiology Centre, Cancer Council Victoria, Carlton, VIC, Australia, Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, University of Melbourne, Melbourne, VIC, Australia
| | - Leif Bergkvist
- Department of Surgery and Centre for Clinical Research, Central Hospital, Västerås, Sweden
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Science, Beckman Research Institute and City of Hope National Medical Center, Duarte, CA, USA
| | - Piet A van den Brandt
- Department of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Louise Brinton
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, Bethesda, MD, USA
| | - Julie E Buring
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA, Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA, Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Roni Falk
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, Bethesda, MD, USA
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Carlton, VIC, Australia, Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, University of Melbourne, Melbourne, VIC, Australia
| | - Gary Goodman
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Judith Hoffman-Bolton
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Manami Inoue
- Epidemiology and Prevention Group, Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan, AXA Department of Health and Human Security, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Laurence N Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Marie Lof
- Department of Clinical and Experimental Medicine, University of Linköping, Linköping, Sweden
| | - Paige Maas
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, Bethesda, MD, USA
| | - Anthony B Miller
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yikyung Park
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine in St Louis, St Louis, MO, USA
| | - Kim Robien
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Stephanie Scarmo
- Division of Epidemiology, Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Leo J Schouten
- Department of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Victoria L Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Schoichiro Tsugane
- Epidemiology and Prevention Group, Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lynne R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Alicja Wolk
- Division of Nutritional Epidemiology, National Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Elisabete Weiderpass
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway, Department of Research, Cancer Registry of Norway, Oslo, Norway and Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | - Walter C Willett
- Department of Nutrition, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA, Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Anne Zeleniuch-Jacquotte
- Division of Epidemiology, Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Shumin M Zhang
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, Bethesda, MD, USA
| | - Stephanie A Smith-Warner
- Department of Nutrition, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Patel AV, Hildebrand JS, Campbell PT, Teras LR, Craft LL, McCullough ML, Gapstur SM. Leisure-Time Spent Sitting and Site-Specific Cancer Incidence in a Large U.S. Cohort. Cancer Epidemiol Biomarkers Prev 2015; 24:1350-9. [DOI: 10.1158/1055-9965.epi-15-0237] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 06/21/2015] [Indexed: 11/16/2022] Open
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Peterson JJ, Dwyer JT, Jacques PF, McCullough ML. Improving the estimation of flavonoid intake for study of health outcomes. Nutr Rev 2015; 73:553-76. [PMID: 26084477 DOI: 10.1093/nutrit/nuv008] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Imprecision in estimating intakes of non-nutrient bioactive compounds such as flavonoids is a challenge in epidemiologic studies of health outcomes. The sources of this imprecision, using flavonoids as an example, include the variability of bioactive compounds in foods due to differences in growing conditions and processing, the challenges in laboratory quantification of flavonoids in foods, the incompleteness of flavonoid food composition tables, and the lack of adequate dietary assessment instruments. Steps to improve databases of bioactive compounds and to increase the accuracy and precision of the estimation of bioactive compound intakes in studies of health benefits and outcomes are suggested.
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Affiliation(s)
- Julia J Peterson
- J.J. Peterson, J.T. Dwyer, and P.F. Jacques are with the Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA. J.T. Dwyer and P.F. Jacques are with the Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA. J.T. Dwyer is with the Tufts University School of Medicine and Frances Stern Nutrition Center, Tufts Medical Center, Boston, Massachusetts, USA. M.L. McCullough is with the Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA.
| | - Johanna T Dwyer
- J.J. Peterson, J.T. Dwyer, and P.F. Jacques are with the Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA. J.T. Dwyer and P.F. Jacques are with the Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA. J.T. Dwyer is with the Tufts University School of Medicine and Frances Stern Nutrition Center, Tufts Medical Center, Boston, Massachusetts, USA. M.L. McCullough is with the Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - Paul F Jacques
- J.J. Peterson, J.T. Dwyer, and P.F. Jacques are with the Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA. J.T. Dwyer and P.F. Jacques are with the Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA. J.T. Dwyer is with the Tufts University School of Medicine and Frances Stern Nutrition Center, Tufts Medical Center, Boston, Massachusetts, USA. M.L. McCullough is with the Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - Marjorie L McCullough
- J.J. Peterson, J.T. Dwyer, and P.F. Jacques are with the Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA. J.T. Dwyer and P.F. Jacques are with the Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA. J.T. Dwyer is with the Tufts University School of Medicine and Frances Stern Nutrition Center, Tufts Medical Center, Boston, Massachusetts, USA. M.L. McCullough is with the Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
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Abstract
The incidence of esophageal adenocarcinoma has increased dramatically in the United States and Europe since the 1970s without apparent cause. Although specific host factors can affect risk of disease, such a rapid increase in incidence must be predominantly environmental. In the stomach, infection with Helicobacter pylori has been linked to chronic atrophic gastritis, an inflammatory precursor of gastric adenocarcinoma. However, the role of H. pylori in the development of esophageal adenocarcinoma is not well established. Meanwhile, several studies have established that a complex microbiome in the distal esophagus might play a more direct role. Transformation of the microbiome in precursor states to esophageal adenocarcinoma-reflux esophagitis and Barrett metaplasia-from a predominance of gram-positive bacteria to mostly gram-negative bacteria raises the possibility that dysbiosis is contributing to pathogenesis. However, knowledge of the microbiome in esophageal adenocarcinoma itself is lacking. Microbiome studies open a new avenue to the understanding of the etiology and pathogenesis of reflux disorders.
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47
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Cook MB, Guénel P, Gapstur SM, van den Brandt PA, Michels KB, Casagrande JT, Cooke R, Van Den Eeden SK, Ewertz M, Falk RT, Gaudet MM, Gkiokas G, Habel LA, Hsing AW, Johnson K, Kolonel LN, La Vecchia C, Lynge E, Lubin JH, McCormack VA, Negri E, Olsson H, Parisi D, Petridou ET, Riboli E, Sesso HD, Swerdlow A, Thomas DB, Willett WC, Brinton LA. Tobacco and alcohol in relation to male breast cancer: an analysis of the male breast cancer pooling project consortium. Cancer Epidemiol Biomarkers Prev 2015; 24:520-31. [PMID: 25515550 PMCID: PMC4355041 DOI: 10.1158/1055-9965.epi-14-1009] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND The etiology of male breast cancer is poorly understood, partly due to its relative rarity. Although tobacco and alcohol exposures are known carcinogens, their association with male breast cancer risk remains ill-defined. METHODS The Male Breast Cancer Pooling Project consortium provided 2,378 cases and 51,959 controls for analysis from 10 case-control and 10 cohort studies. Individual participant data were harmonized and pooled. Unconditional logistic regression was used to estimate study design-specific (case-control/cohort) ORs and 95% confidence intervals (CI), which were then combined using fixed-effects meta-analysis. RESULTS Cigarette smoking status, smoking pack-years, duration, intensity, and age at initiation were not associated with male breast cancer risk. Relations with cigar and pipe smoking, tobacco chewing, and snuff use were also null. Recent alcohol consumption and average grams of alcohol consumed per day were also not associated with risk; only one subanalysis of very high recent alcohol consumption (>60 g/day) was tentatively associated with male breast cancer (ORunexposed referent = 1.29; 95% CI, 0.97-1.71; OR>0-<7 g/day referent = 1.36; 95% CI, 1.04-1.77). Specific alcoholic beverage types were not associated with male breast cancer. Relations were not altered when stratified by age or body mass index. CONCLUSIONS In this analysis of the Male Breast Cancer Pooling Project, we found little evidence that tobacco and alcohol exposures were associated with risk of male breast cancer. IMPACT Tobacco and alcohol do not appear to be carcinogenic for male breast cancer. Future studies should aim to assess these exposures in relation to subtypes of male breast cancer.
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Affiliation(s)
- Michael B Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
| | - Pascal Guénel
- Inserm, CESP Center for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer, Villejuif, France. Université Paris-Sud, UMRS 1018, Villejuif, France
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | | | - Karin B Michels
- Obstetrics and Gynecology Epidemiology Center, Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - John T Casagrande
- Department of Preventive Medicine, University of Southern California, Los Angeles, California
| | - Rosie Cooke
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | | | - Marianne Ewertz
- Department of Oncology, Odense University Hospital, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Roni T Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - George Gkiokas
- Department of Surgery, Aretaieion University Hospital, Athens, Greece
| | - Laurel A Habel
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Ann W Hsing
- Cancer Prevention Institute of California, Freemont, California. Stanford Cancer Institute, Stanford, California
| | - Kenneth Johnson
- Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Laurence N Kolonel
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Carlo La Vecchia
- Department of Clinical Science and Community Health, University of Milan, Milan, Italy
| | - Elsebeth Lynge
- Institute of Public Health, University of Copenhagen, Denmark
| | - Jay H Lubin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Valerie A McCormack
- Section on Environment and Radiation, International Agency for Research on Cancer, Lyon, France
| | - Eva Negri
- Istituto di Richerche Farmacologiche "Mario Negri," Milan, Italy
| | - Håkan Olsson
- Department of Oncology, Lund University, Lund, Sweden
| | | | - Eleni Th Petridou
- Department of Hygiene, Epidemiology, and Medical Statistics, Athens University Medical School, Athens, Greece
| | - Elio Riboli
- School of Public Health, Imperial College, London, United Kingdom
| | - Howard D Sesso
- Divisions of Preventive Medicine and Aging, Brigham and Women's Hospital, Boston, Massachusetts
| | - Anthony Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, United Kingdom. Division of Breast Cancer Research, Institute of Cancer Research, London, United Kingdom
| | - David B Thomas
- Program in Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Walter C Willett
- Departments of Nutrition and Epidemiology, Harvard School of Public Health, Boston, Massachusetts. Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
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Miao J, Sinha S, Wang S, Diver WR, Gapstur SM. Analysis of Multivariate Disease Classification Data in the Presence of Partially Missing Disease Traits. JOURNAL OF BIOMETRICS & BIOSTATISTICS 2014; 5. [PMID: 25530913 PMCID: PMC4270282 DOI: 10.4172/2155-6180.1000197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
In modern cancer epidemiology, diseases are classified based on pathologic and molecular traits, and different combinations of these traits give rise to many disease subtypes. The effect of predictor variables can be measured by fitting a polytomous logistic model to such data. The differences (heterogeneity) among the relative risk parameters associated with subtypes are of great interest to better understand disease etiology. Due to the heterogeneity of the relative risk parameters, when a risk factor is changed, the prevalence of one subtype may change more than that of another subtype does. Estimation of the heterogeneity parameters is difficult when disease trait information is only partially observed and the number of disease subtypes is large. We consider a robust semiparametric approach based on the pseudo-conditional likelihood for estimating these heterogeneity parameters. Through simulation studies, we compare the robustness and efficiency of our approach with that of the maximum likelihood approach. The method is then applied to analyze the associations of weight gain with risk of breast cancer subtypes using data from the American Cancer Society Cancer Prevention Study II Nutrition Cohort.
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Affiliation(s)
- Jingang Miao
- Department of Statistics, Texas A&M University, College Station, TX 77843, USA
| | - Samiran Sinha
- Department of Statistics, Texas A&M University, College Station, TX 77843, USA
| | - Suojin Wang
- Department of Statistics, Texas A&M University, College Station, TX 77843, USA
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Inc. Atlanta, GA 30303, USA
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Inc. Atlanta, GA 30303, USA
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Karami S, Daugherty SE, Purdue MP. A prospective study of alcohol consumption and renal cell carcinoma risk. Int J Cancer 2014; 137:238-42. [PMID: 25431248 DOI: 10.1002/ijc.29359] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2014] [Accepted: 11/18/2014] [Indexed: 01/20/2023]
Abstract
Recent epidemiological studies suggest that alcohol consumption may reduce renal cell carcinoma (RCC) risk, although inconsistent findings have been reported by sex and alcoholic beverage type. To better understand the relationship between alcohol consumption and RCC risk, we conducted an analysis within the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. We followed up participants in the analytic cohort (N = 107,998) through 2010 for incident RCC (N = 408), and computed hazard ratios (HRs) and 95% confidence intervals (CIs) for alcohol intake using Cox regression with adjustment for age, sex, race, study center, hypertension, body mass index, and smoking status. In this study population increasing alcohol consumption was associated with reduced RCC risk compared to non-drinkers (>9.75 g day(-1) : HR, 0.67; 95%CI, 0.50 to 0.89; p trend = 0.002). We observed similar patterns of association for men and women as well as by alcohol beverage type. In analyses stratified by smoking status, the inverse association with consumption was apparent for ever smokers (HR, 0.51; 95%CI, 0.36 to 0.73; p trend<0.0001) but not among never smokers (HR, 1.08; 95%CI, 0.66 to 1.76; P trend = 0.78; p interaction = 0.01). Our study findings offer further support that alcohol consumption is associated with reduced RCC risk, regardless of sex or alcoholic beverage type. The finding of interaction with smoking is novel and requires confirmation.
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Affiliation(s)
- Sara Karami
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Department of Health and Human Services, Bethesda, MD
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50
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Fitzgerald KC, O'Reilly ÉJ, Falcone GJ, McCullough ML, Park Y, Kolonel LN, Ascherio A. Dietary ω-3 polyunsaturated fatty acid intake and risk for amyotrophic lateral sclerosis. JAMA Neurol 2014; 71:1102-10. [PMID: 25023276 DOI: 10.1001/jamaneurol.2014.1214] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
IMPORTANCE Amyotrophic lateral sclerosis (ALS) is a severe progressive disease that cannot be prevented or cured. Diet-derived long-chain polyunsaturated fatty acids (PUFAs) are incorporated in brain lipids and modulate oxidative and inflammatory processes and could thus affect ALS risk and progression. OBJECTIVE To examine the association between ω-6 and ω-3 PUFA consumption and ALS risk. DESIGN, SETTING, AND PARTICIPANTS Longitudinal analyses based on 1,002,082 participants (479,114 women and 522,968 men) in 5 prospective cohorts: the National Institutes of Health-AARP Diet and Health Study, the Cancer Prevention Study II Nutrition Cohort, the Health Professionals Follow-up Study, the Multiethnic Cohort Study, and the Nurses' Health Study. Diet was assessed via food frequency questionnaire developed or modified for each cohort. Participants were categorized into cohort-specific quintiles of intake of energy-adjusted dietary variables. MAIN OUTCOMES AND MEASURES Cohort-specific multivariable-adjusted risk ratios (RRs) of ALS incidence or death estimated by Cox proportional hazards regression and pooled using random-effects methods. RESULTS A total of 995 ALS cases were documented during the follow-up. A greater ω-3 PUFA intake was associated with a reduced risk for ALS. The pooled, multivariable-adjusted RR for the highest to the lowest quintile was 0.66 (95% CI, 0.53-0.81; P < .001 for trend). Consumption of both α-linolenic acid (RR, 0.73; 95% CI, 0.59-0.89; P = .003 for trend) and marine ω-3 PUFAs (RR, 0.84; 95% CI, 0.65-1.08; P = .03 for trend) contributed to this inverse association. Intakes of ω-6 PUFA were not associated with ALS risk. CONCLUSIONS AND RELEVANCE Consumption of foods high in ω-3 PUFAs may help prevent or delay the onset of ALS.
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Affiliation(s)
| | - Éilis J O'Reilly
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts7Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Guido J Falcone
- Department of Neurology, Massachusetts General Hospital, Boston6Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts
| | | | - Yikyung Park
- Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | | | - Alberto Ascherio
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts6Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts7Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical Scho
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