TY - JOUR

T1 - Nutrient-wide association study of 92 foods and nutrients and breast cancer risk

AU - Heath, Alicia K.

AU - Muller, David C.

AU - van den Brandt, Piet A.

AU - Papadimitriou, Nikos

AU - Critselis, Elena

AU - Gunter, Marc

AU - Vineis, Paolo

AU - Weiderpass, Elisabete

AU - Fagherazzi, Guy

AU - Boeing, Heiner

AU - Ferrari, Pietro

AU - Olsen, Anja

AU - Tjonneland, Anne

AU - Arveux, Patrick

AU - Boutron-Ruault, Marie-Christine

AU - Mancini, Francesca Romana

AU - Kuehn, Tilman

AU - Turzanski-Fortner, Renee

AU - Schulze, Matthias B.

AU - Karakatsani, Anna

AU - Thriskos, Paschalis

AU - Trichopoulou, Antonia

AU - Masala, Giovanna

AU - Contiero, Paolo

AU - Ricceri, Fulvio

AU - Panico, Salvatore

AU - Bueno-de-Mesquita, Bas

AU - Bakker, Marije F.

AU - van Gils, Carla H.

AU - Olsen, Karina Standahl

AU - Skeie, Guri

AU - Lasheras, Cristina

AU - Agudo, Antonio

AU - Rodriguez-Barranco, Miguel

AU - Sanchez, Maria-Jose

AU - Amiano, Pilar

AU - Chirlaque, Maria-Dolores

AU - Barricarte, Aurelio.

AU - Drake, Isabel

AU - Ericson, Ulrika

AU - Johansson, Ingegerd

AU - Winkvist, Anna

AU - Key, Tim

AU - Freisling, Heinz

AU - His, Mathilde

AU - Huybrechts, Inge

AU - Christakoudi, Sofia

AU - Ellingjord-Dale, Merete

AU - Riboli, Elio

AU - Tsilidis, Konstantinos K.

AU - Tzoulaki, Ioanna

PY - 2020

Y1 - 2020

N2 - Background Several dietary factors have been reported to be associated with risk of breast cancer, but to date, unequivocal evidence only exists for alcohol consumption. We sought to systematically assess the association between intake of 92 foods and nutrients and breast cancer risk using a nutrient-wide association study. Methods Using data from 272,098 women participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study, we assessed dietary intake of 92 foods and nutrients estimated by dietary questionnaires. Cox regression was used to quantify the association between each food/nutrient and risk of breast cancer. A false discovery rate (FDR) of 0.05 was used to select the set of foods and nutrients to be replicated in the independent Netherlands Cohort Study (NLCS). Results Six foods and nutrients were identified as associated with risk of breast cancer in the EPIC study (10,979 cases). Higher intake of alcohol overall was associated with a higher risk of breast cancer (hazard ratio (HR) for a 1 SD increment in intake = 1.05, 95% CI 1.03-1.07), as was beer/cider intake and wine intake (HRs per 1 SD increment = 1.05, 95% CI 1.03-1.06 and 1.04, 95% CI 1.02-1.06, respectively), whereas higher intakes of fibre, apple/pear, and carbohydrates were associated with a lower risk of breast cancer (HRs per 1 SD increment = 0.96, 95% CI 0.94-0.98; 0.96, 95% CI 0.94-0.99; and 0.96, 95% CI 0.95-0.98, respectively). When evaluated in the NLCS (2368 cases), estimates for each of these foods and nutrients were similar in magnitude and direction, with the exception of beer/cider intake, which was not associated with risk in the NLCS. Conclusions Our findings confirm a positive association of alcohol consumption and suggest an inverse association of dietary fibre and possibly fruit intake with breast cancer risk.

AB - Background Several dietary factors have been reported to be associated with risk of breast cancer, but to date, unequivocal evidence only exists for alcohol consumption. We sought to systematically assess the association between intake of 92 foods and nutrients and breast cancer risk using a nutrient-wide association study. Methods Using data from 272,098 women participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study, we assessed dietary intake of 92 foods and nutrients estimated by dietary questionnaires. Cox regression was used to quantify the association between each food/nutrient and risk of breast cancer. A false discovery rate (FDR) of 0.05 was used to select the set of foods and nutrients to be replicated in the independent Netherlands Cohort Study (NLCS). Results Six foods and nutrients were identified as associated with risk of breast cancer in the EPIC study (10,979 cases). Higher intake of alcohol overall was associated with a higher risk of breast cancer (hazard ratio (HR) for a 1 SD increment in intake = 1.05, 95% CI 1.03-1.07), as was beer/cider intake and wine intake (HRs per 1 SD increment = 1.05, 95% CI 1.03-1.06 and 1.04, 95% CI 1.02-1.06, respectively), whereas higher intakes of fibre, apple/pear, and carbohydrates were associated with a lower risk of breast cancer (HRs per 1 SD increment = 0.96, 95% CI 0.94-0.98; 0.96, 95% CI 0.94-0.99; and 0.96, 95% CI 0.95-0.98, respectively). When evaluated in the NLCS (2368 cases), estimates for each of these foods and nutrients were similar in magnitude and direction, with the exception of beer/cider intake, which was not associated with risk in the NLCS. Conclusions Our findings confirm a positive association of alcohol consumption and suggest an inverse association of dietary fibre and possibly fruit intake with breast cancer risk.

KW - Breast cancer

KW - Diet

KW - Foods

KW - Nutrients

KW - Alcohol

KW - Fibre

KW - DIETARY FIBER INTAKE

KW - SERUM ESTROGEN CONCENTRATIONS

KW - SCALE PROSPECTIVE COHORT

KW - POSTMENOPAUSAL WOMEN

KW - POOLED ANALYSIS

KW - ALCOHOL

KW - NUTRITION

KW - PREMENOPAUSAL

KW - QUESTIONNAIRE

KW - METAANALYSIS

U2 - 10.1186/s13058-019-1244-7

DO - 10.1186/s13058-019-1244-7

M3 - Journal article

C2 - 31931881

VL - 22

JO - Breast Cancer Research

JF - Breast Cancer Research

SN - 1465-5411

IS - 1

M1 - 5

ER -