Coffee consumption and risk of endometrial cancer: a pooled analysis of individual participant data in the Epidemiology of Endometrial Cancer Consortium (E2C2).


Journal

The American journal of clinical nutrition
ISSN: 1938-3207
Titre abrégé: Am J Clin Nutr
Pays: United States
ID NLM: 0376027

Informations de publication

Date de publication:
11 2022
Historique:
received: 08 03 2022
accepted: 19 08 2022
medline: 24 5 2023
pubmed: 31 8 2022
entrez: 30 8 2022
Statut: ppublish

Résumé

Epidemiologic studies suggest that coffee consumption may be inversely associated with risk of endometrial cancer (EC), the most common gynecological malignancy in developed countries. Furthermore, coffee consumption may lower circulating concentrations of estrogen and insulin, hormones implicated in endometrial carcinogenesis. Antioxidants and other chemopreventive compounds in coffee may have anticarcinogenic effects. Based on available meta-analyses, the World Cancer Research Fund (WCRF) concluded that consumption of coffee probably protects against EC. Our main aim was to examine the association between coffee consumption and EC risk by combining individual-level data in a pooled analysis. We also sought to evaluate potential effect modification by other risk factors for EC. We combined individual-level data from 19 epidemiologic studies (6 cohort, 13 case-control) of 12,159 EC cases and 27,479 controls from the Epidemiology of Endometrial Cancer Consortium (E2C2). Logistic regression was used to calculate ORs and their corresponding 95% CIs. All models were adjusted for potential confounders including age, race, BMI, smoking status, diabetes status, study design, and study site. Coffee drinkers had a lower risk of EC than non-coffee drinkers (multiadjusted OR: 0.87; 95% CI: 0.79, 0.95). There was a dose-response relation between higher coffee consumption and lower risk of EC: compared with non-coffee drinkers, the adjusted pooled ORs for those who drank 1, 2-3, and >4 cups/d were 0.90 (95% CI: 0.82, 1.00), 0.86 (95% CI: 0.78, 0.95), and 0.76 (95% CI: 0.66, 0.87), respectively (P-trend < 0.001). The inverse association between coffee consumption and EC risk was stronger in participants with BMI > 25 kg/m The results of the largest analysis to date pooling individual-level data further support the potentially beneficial health effects of coffee consumption in relation to EC, especially among females with higher BMI.

Sections du résumé

BACKGROUND
Epidemiologic studies suggest that coffee consumption may be inversely associated with risk of endometrial cancer (EC), the most common gynecological malignancy in developed countries. Furthermore, coffee consumption may lower circulating concentrations of estrogen and insulin, hormones implicated in endometrial carcinogenesis. Antioxidants and other chemopreventive compounds in coffee may have anticarcinogenic effects. Based on available meta-analyses, the World Cancer Research Fund (WCRF) concluded that consumption of coffee probably protects against EC.
OBJECTIVES
Our main aim was to examine the association between coffee consumption and EC risk by combining individual-level data in a pooled analysis. We also sought to evaluate potential effect modification by other risk factors for EC.
METHODS
We combined individual-level data from 19 epidemiologic studies (6 cohort, 13 case-control) of 12,159 EC cases and 27,479 controls from the Epidemiology of Endometrial Cancer Consortium (E2C2). Logistic regression was used to calculate ORs and their corresponding 95% CIs. All models were adjusted for potential confounders including age, race, BMI, smoking status, diabetes status, study design, and study site.
RESULTS
Coffee drinkers had a lower risk of EC than non-coffee drinkers (multiadjusted OR: 0.87; 95% CI: 0.79, 0.95). There was a dose-response relation between higher coffee consumption and lower risk of EC: compared with non-coffee drinkers, the adjusted pooled ORs for those who drank 1, 2-3, and >4 cups/d were 0.90 (95% CI: 0.82, 1.00), 0.86 (95% CI: 0.78, 0.95), and 0.76 (95% CI: 0.66, 0.87), respectively (P-trend < 0.001). The inverse association between coffee consumption and EC risk was stronger in participants with BMI > 25 kg/m
CONCLUSIONS
The results of the largest analysis to date pooling individual-level data further support the potentially beneficial health effects of coffee consumption in relation to EC, especially among females with higher BMI.

Identifiants

pubmed: 36041172
pii: S0002-9165(23)03649-3
doi: 10.1093/ajcn/nqac229
pmc: PMC9630862
pii:
doi:

Types de publication

Meta-Analysis Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1219-1228

Subventions

Organisme : NCI NIH HHS
ID : U01 CA164974
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA250476
Pays : United States
Organisme : NIA NIH HHS
ID : F30 AG063446
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA083918
Pays : United States
Organisme : NCI NIH HHS
ID : R03 CA169888
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA164973
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA016056
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA058420
Pays : United States

Informations de copyright

Copyright © 2022 American Society for Nutrition.

Auteurs

Marta Crous-Bou (M)

Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA. Electronic address: marta.crous@iconcologia.net.

Mengmeng Du (M)

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Marc J Gunter (MJ)

Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.

Veronica W Setiawan (VW)

Keck School of Medicine, Department of Medicine, University of Southern California, Los Angeles, CA, USA.

Leo J Schouten (LJ)

Department of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands.

Xiao-Ou Shu (XO)

Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.

Nicolas Wentzensen (N)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA.

Kimberly A Bertrand (KA)

Slone Epidemiology Center, Boston University, Boston, MA, USA; Department of Medicine, Boston University School of Medicine, Boston, MA, USA.

Linda S Cook (LS)

Department of Internal Medicine, NM Health Sciences Center, University of New Mexico, Albuquerque, NM, USA; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

Christine M Friedenreich (CM)

Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada; Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

Susan M Gapstur (SM)

Department of Population Science, American Cancer Society, Atlanta, GA, USA.

Marc T Goodman (MT)

Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Torukiri I Ibiebele (TI)

Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

Carlo La Vecchia (C)

Department of Clinical Sciences and Community Health (DISCCO), University of Milan, Milan, Italy.

Fabio Levi (F)

Department of Epidemiology and Health Services Research, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.

Linda M Liao (LM)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA.

Eva Negri (E)

Department of Clinical Sciences and Community Health (DISCCO), University of Milan, Milan, Italy; Department of Humanities, Pegaso Online University, Naples, Italy.

Susan E McCann (SE)

Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.

Kelly O'Connell (K)

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Julie R Palmer (JR)

Slone Epidemiology Center, Boston University, Boston, MA, USA; Department of Medicine, Boston University School of Medicine, Boston, MA, USA.

Alpa V Patel (AV)

Department of Population Science, American Cancer Society, Atlanta, GA, USA.

Jeanette Ponte (J)

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Peggy Reynolds (P)

Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.

Carlotta Sacerdote (C)

Unit of Cancer Epidemiology, Center for Cancer Prevention (CPO-Peimonte), University Hospital City of Science and Health, Turin, Italy.

Rashmi Sinha (R)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA.

Amanda B Spurdle (AB)

Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

Britton Trabert (B)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA; Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, UT, USA; Cancer Control and Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.

Piet A van den Brandt (PA)

Department of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands.

Penelope M Webb (PM)

Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

Stacey Petruzella (S)

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Sara H Olson (SH)

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Immaculata De Vivo (I)

Department of Epidemiology, Harvard TH 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. Electronic address: nhidv@channing.harvard.edu.

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