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Probing the diabetes and colorectal cancer relationship using gene - environment interaction analyses.
Dimou, Niki; Kim, Andre E; Flanagan, Orlagh; Murphy, Neil; Diez-Obrero, Virginia; Shcherbina, Anna; Aglago, Elom K; Bouras, Emmanouil; Campbell, Peter T; Casey, Graham; Gallinger, Steven; Gruber, Stephen B; Jenkins, Mark A; Lin, Yi; Moreno, Victor; Ruiz-Narvaez, Edward; Stern, Mariana C; Tian, Yu; Tsilidis, Kostas K; Arndt, Volker; Barry, Elizabeth L; Baurley, James W; Berndt, Sonja I; Bézieau, Stéphane; Bien, Stephanie A; Bishop, D Timothy; Brenner, Hermann; Budiarto, Arif; Carreras-Torres, Robert; Cenggoro, Tjeng Wawan; Chan, Andrew T; Chang-Claude, Jenny; Chanock, Stephen J; Chen, Xuechen; Conti, David V; Dampier, Christopher H; Devall, Matthew; Drew, David A; Figueiredo, Jane C; Giles, Graham G; Gsur, Andrea; Harrison, Tabitha A; Hidaka, Akihisa; Hoffmeister, Michael; Huyghe, Jeroen R; Jordahl, Kristina; Kawaguchi, Eric; Keku, Temitope O; Larsson, Susanna C; Le Marchand, Loic.
Afiliação
  • Dimou N; Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France. DimouN@iarc.who.int.
  • Kim AE; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Flanagan O; Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
  • Murphy N; Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
  • Diez-Obrero V; Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, 08908, Spain.
  • Shcherbina A; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain.
  • Aglago EK; Consortium for Biomedical Research in Epidemiology and Public Health, Barcelona, 08908, Spain.
  • Bouras E; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, 08908, Spain.
  • Campbell PT; Department of Genetics, Stanford University, Stanford, CA, USA.
  • Casey G; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Gallinger S; School of Public Health, Imperial College London, London, United Kingdom.
  • Gruber SB; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
  • Jenkins MA; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
  • Lin Y; Department of Public Health Sciences, Center for Public Health Genomics, Charlottesville, VA, USA.
  • Moreno V; Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada.
  • Ruiz-Narvaez E; Center for Precision Medicine, Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA.
  • Stern MC; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
  • Tian Y; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Tsilidis KK; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, 08908, Spain.
  • Arndt V; Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.
  • Barry EL; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
  • Baurley JW; ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
  • Berndt SI; Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
  • Bézieau S; Department of Population and Public Health Sciences & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Bien SA; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Bishop DT; School of Public Health, Capital Medical University, Beijing, China.
  • Brenner H; School of Public Health, Imperial College London, London, United Kingdom.
  • Budiarto A; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
  • Carreras-Torres R; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Cenggoro TW; Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
  • Chan AT; Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia.
  • Chang-Claude J; BioRealm LLC, Walnut, CA, USA.
  • Chanock SJ; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Chen X; Nantes Université, CHU Nantes, Service de Génétique médicale, F-44000, Nantes, France.
  • Conti DV; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Dampier CH; Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
  • Devall M; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Drew DA; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany.
  • Figueiredo JC; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Giles GG; Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia.
  • Gsur A; Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia.
  • Harrison TA; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, 8908, Barcelona, Spain.
  • Hidaka A; Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia.
  • Hoffmeister M; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Huyghe JR; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Jordahl K; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Kawaguchi E; Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Keku TO; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
  • Larsson SC; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
  • Le Marchand L; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Br J Cancer ; 129(3): 511-520, 2023 08.
Article em En | MEDLINE | ID: mdl-37365285
ABSTRACT

BACKGROUND:

Diabetes is an established risk factor for colorectal cancer. However, the mechanisms underlying this relationship still require investigation and it is not known if the association is modified by genetic variants. To address these questions, we undertook a genome-wide gene-environment interaction analysis.

METHODS:

We used data from 3 genetic consortia (CCFR, CORECT, GECCO; 31,318 colorectal cancer cases/41,499 controls) and undertook genome-wide gene-environment interaction analyses with colorectal cancer risk, including interaction tests of genetics(G)xdiabetes (1-degree of freedom; d.f.) and joint testing of Gxdiabetes, G-colorectal cancer association (2-d.f. joint test) and G-diabetes correlation (3-d.f. joint test).

RESULTS:

Based on the joint tests, we found that the association of diabetes with colorectal cancer risk is modified by loci on chromosomes 8q24.11 (rs3802177, SLC30A8 - ORAA 1.62, 95% CI 1.34-1.96; ORAG 1.41, 95% CI 1.30-1.54; ORGG 1.22, 95% CI 1.13-1.31; p-value3-d.f. 5.46 × 10-11) and 13q14.13 (rs9526201, LRCH1 - ORGG 2.11, 95% CI 1.56-2.83; ORGA 1.52, 95% CI 1.38-1.68; ORAA 1.13, 95% CI 1.06-1.21; p-value2-d.f. 7.84 × 10-09).

DISCUSSION:

These results suggest that variation in genes related to insulin signaling (SLC30A8) and immune function (LRCH1) may modify the association of diabetes with colorectal cancer risk and provide novel insights into the biology underlying the diabetes and colorectal cancer relationship.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Diabetes Mellitus Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Diabetes Mellitus Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article