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Genetic risk impacts the association of menopausal hormone therapy with colorectal cancer risk.
Tian, Yu; Lin, Yi; Qu, Conghui; Arndt, Volker; Baurley, James W; Berndt, Sonja I; Bien, Stephanie A; Bishop, D Timothy; Brenner, Hermann; Buchanan, Daniel D; Budiarto, Arif; Campbell, Peter T; Carreras-Torres, Robert; Casey, Graham; Chan, Andrew T; Chen, Rui; Chen, Xuechen; Conti, David V; Díez-Obrero, Virginia; Dimou, Niki; Drew, David A; Figueiredo, Jane C; Gallinger, Steven; Giles, Graham G; Gruber, Stephen B; Gunter, Marc J; Harlid, Sophia; Harrison, Tabitha A; Hidaka, Akihisa; Hoffmeister, Michael; Huyghe, Jeroen R; Jenkins, Mark A; Jordahl, Kristina M; Joshi, Amit D; Keku, Temitope O; Kawaguchi, Eric; Kim, Andre E; Kundaje, Anshul; Larsson, Susanna C; Marchand, Loic Le; Lewinger, Juan Pablo; Li, Li; Moreno, Victor; Morrison, John; Murphy, Neil; Nan, Hongmei; Nassir, Rami; Newcomb, Polly A; Obón-Santacana, Mireia; Ogino, Shuji.
Afiliação
  • Tian Y; School of Public Health, Capital Medical University, Beijing, China.
  • Lin Y; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Qu C; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Arndt V; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Baurley JW; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Berndt SI; Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia.
  • Bien SA; BioRealm LLC, Walnut, CA, USA.
  • Bishop DT; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Brenner H; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Buchanan DD; Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
  • Budiarto A; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Campbell PT; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany.
  • Carreras-Torres R; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Casey G; Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, 3010, Australia.
  • Chan AT; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3010, Australia.
  • Chen R; Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC, Australia.
  • Chen X; Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia.
  • Conti DV; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 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.
  • Figueiredo JC; Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute Dr Josep Trueta (IDIBGI), Salt, 17190, Girona, Spain.
  • Gallinger S; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  • Giles GG; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Gruber SB; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Gunter MJ; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Harlid S; Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Harrison TA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
  • Hidaka A; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
  • Hoffmeister M; School of Public Health, Capital Medical University, Beijing, China.
  • Huyghe JR; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Jenkins MA; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Jordahl KM; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
  • Joshi AD; Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain.
  • Keku TO; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Kawaguchi E; Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
  • Kim AE; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Kundaje A; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Larsson SC; Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Marchand LL; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Lewinger JP; Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada.
  • Li L; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
  • Moreno V; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
  • Morrison J; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
  • Murphy N; Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA.
  • Nan H; Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
  • Nassir R; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
  • Newcomb PA; Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden.
  • Obón-Santacana M; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Ogino S; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Br J Cancer ; 130(10): 1687-1696, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38561434
ABSTRACT

BACKGROUND:

Menopausal hormone therapy (MHT), a common treatment to relieve symptoms of menopause, is associated with a lower risk of colorectal cancer (CRC). To inform CRC risk prediction and MHT risk-benefit assessment, we aimed to evaluate the joint association of a polygenic risk score (PRS) for CRC and MHT on CRC risk.

METHODS:

We used data from 28,486 postmenopausal women (11,519 cases and 16,967 controls) of European descent. A PRS based on 141 CRC-associated genetic variants was modeled as a categorical variable in quartiles. Multiplicative interaction between PRS and MHT use was evaluated using logistic regression. Additive interaction was measured using the relative excess risk due to interaction (RERI). 30-year cumulative risks of CRC for 50-year-old women according to MHT use and PRS were calculated.

RESULTS:

The reduction in odds ratios by MHT use was larger in women within the highest quartile of PRS compared to that in women within the lowest quartile of PRS (p-value = 2.7 × 10-8). At the highest quartile of PRS, the 30-year CRC risk was statistically significantly lower for women taking any MHT than for women not taking any MHT, 3.7% (3.3%-4.0%) vs 6.1% (5.7%-6.5%) (difference 2.4%, P-value = 1.83 × 10-14); these differences were also statistically significant but smaller in magnitude in the lowest PRS quartile, 1.6% (1.4%-1.8%) vs 2.2% (1.9%-2.4%) (difference 0.6%, P-value = 1.01 × 10-3), indicating 4 times greater reduction in absolute risk associated with any MHT use in the highest compared to the lowest quartile of genetic CRC risk.

CONCLUSIONS:

MHT use has a greater impact on the reduction of CRC risk for women at higher genetic risk. These findings have implications for the development of risk prediction models for CRC and potentially for the consideration of genetic information in the risk-benefit assessment of MHT use.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Predisposição Genética para Doença Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Predisposição Genética para Doença Idioma: En Ano de publicação: 2024 Tipo de documento: Article