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Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk.
Tian, Yu; Kim, Andre E; Bien, Stephanie A; Lin, Yi; Qu, Conghui; Harrison, Tabitha A; Carreras-Torres, Robert; Díez-Obrero, Virginia; Dimou, Niki; Drew, David A; Hidaka, Akihisa; Huyghe, Jeroen R; Jordahl, Kristina M; Morrison, John; Murphy, Neil; Obón-Santacana, Mireia; Ulrich, Cornelia M; Ose, Jennifer; Peoples, Anita R; Ruiz-Narvaez, Edward A; Shcherbina, Anna; Stern, Mariana C; Su, Yu-Ru; van Duijnhoven, Franzel J B; Arndt, Volker; Baurley, James W; Berndt, Sonja I; Bishop, D Timothy; Brenner, Hermann; Buchanan, Daniel D; Chan, Andrew T; Figueiredo, Jane C; Gallinger, Steven; Gruber, Stephen B; Harlid, Sophia; Hoffmeister, Michael; Jenkins, Mark A; Joshi, Amit D; Keku, Temitope O; Larsson, Susanna C; Le Marchand, Loic; Li, Li; Giles, Graham G; Milne, Roger L; Nan, Hongmei; Nassir, Rami; Ogino, Shuji; Budiarto, Arif; Platz, Elizabeth A; Potter, John D.
Afiliação
  • Tian Y; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Kim AE; School of Public Health, Capital Medical University, Beijing, China.
  • Bien SA; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Lin Y; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Qu C; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Harrison TA; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Carreras-Torres R; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Díez-Obrero V; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
  • Dimou N; Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain.
  • Drew DA; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Hidaka A; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
  • Huyghe JR; Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain.
  • Jordahl KM; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Morrison J; Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
  • Murphy N; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Obón-Santacana M; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Ulrich CM; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Ose J; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Peoples AR; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Ruiz-Narvaez EA; Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA.
  • Shcherbina A; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Stern MC; Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
  • Su YR; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
  • van Duijnhoven FJB; Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain.
  • Arndt V; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Baurley JW; Huntsman Cancer Institute, Salt Lake City, UT, USA.
  • Berndt SI; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA.
  • Bishop DT; Huntsman Cancer Institute, Salt Lake City, UT, USA.
  • Brenner H; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA.
  • Buchanan DD; Huntsman Cancer Institute, Salt Lake City, UT, USA.
  • Chan AT; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA.
  • Figueiredo JC; Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
  • Gallinger S; Biomedical Informatics Program, Department of Biomedical Data Sciences, Stanford University, Stanford, CA, USA.
  • Gruber SB; Division of Biostatistics, Department of Population and Public Health Sciences & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Harlid S; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Hoffmeister M; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
  • Jenkins MA; Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands.
  • Joshi AD; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Keku TO; Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia.
  • Larsson SC; BioRealm LLC, Walnut, CA, USA.
  • Le Marchand L; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Li L; Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
  • Giles GG; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Milne RL; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany.
  • Nan H; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Nassir R; Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia.
  • Ogino S; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia.
  • Budiarto A; Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia.
  • Platz EA; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Potter JD; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
J Natl Cancer Inst ; 114(8): 1135-1148, 2022 08 08.
Article em En | MEDLINE | ID: mdl-35512400
BACKGROUND: The use of menopausal hormone therapy (MHT) may interact with genetic variants to influence colorectal cancer (CRC) risk. METHODS: We conducted a genome-wide, gene-environment interaction between single nucleotide polymorphisms and the use of any MHT, estrogen only, and combined estrogen-progestogen therapy with CRC risk, among 28 486 postmenopausal women (11 519 CRC patients and 16 967 participants without CRC) from 38 studies, using logistic regression, 2-step method, and 2- or 3-degree-of-freedom joint test. A set-based score test was applied for rare genetic variants. RESULTS: The use of any MHT, estrogen only and estrogen-progestogen were associated with a reduced CRC risk (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.64 to 0.78; OR = 0.65, 95% CI = 0.53 to 0.79; and OR = 0.73, 95% CI = 0.59 to 0.90, respectively). The 2-step method identified a statistically significant interaction between a GRIN2B variant rs117868593 and MHT use, whereby MHT-associated CRC risk was statistically significantly reduced in women with the GG genotype (OR = 0.68, 95% CI = 0.64 to 0.72) but not within strata of GC or CC genotypes. A statistically significant interaction between a DCBLD1 intronic variant at 6q22.1 (rs10782186) and MHT use was identified by the 2-degree-of-freedom joint test. The MHT-associated CRC risk was reduced with increasing number of rs10782186-C alleles, showing odds ratios of 0.78 (95% CI = 0.70 to 0.87) for TT, 0.68 (95% CI = 0.63 to 0.73) for TC, and 0.66 (95% CI = 0.60 to 0.74) for CC genotypes. In addition, 5 genes in rare variant analysis showed suggestive interactions with MHT (2-sided P < 1.2 × 10-4). CONCLUSION: Genetic variants that modify the association between MHT and CRC risk were identified, offering new insights into pathways of CRC carcinogenesis and potential mechanisms involved.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Progestinas / Neoplasias Colorretais Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: J Natl Cancer Inst Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Progestinas / Neoplasias Colorretais Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: J Natl Cancer Inst Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha