Author:
Assi Nada,Moskal Aurelie,Slimani Nadia,Viallon Vivian,Chajes Veronique,Freisling Heinz,Monni Stefano,Knueppel Sven,Förster Jana,Weiderpass Elisabete,Lujan-Barroso Leila,Amiano Pilar,Ardanaz Eva,Molina-Montes Esther,Salmerón Diego,Quirós José Ramón,Olsen Anja,Tjønneland Anne,Dahm Christina C,Overvad Kim,Dossus Laure,Fournier Agnès,Baglietto Laura,Fortner Renee Turzanski,Kaaks Rudolf,Trichopoulou Antonia,Bamia Christina,Orfanos Philippos,De Magistris Maria Santucci,Masala Giovanna,Agnoli Claudia,Ricceri Fulvio,Tumino Rosario,Bueno de Mesquita H Bas,Bakker Marije F,Peeters Petra HM,Skeie Guri,Braaten Tonje,Winkvist Anna,Johansson Ingegerd,Khaw Kay-Tee,Wareham Nicholas J,Key Tim,Travis Ruth,Schmidt Julie A,Merritt Melissa A,Riboli Elio,Romieu Isabelle,Ferrari Pietro
Abstract
AbstractObjectivePattern analysis has emerged as a tool to depict the role of multiple nutrients/foods in relation to health outcomes. The present study aimed at extracting nutrient patterns with respect to breast cancer (BC) aetiology.DesignNutrient patterns were derived with treelet transform (TT) and related to BC risk. TT was applied to twenty-three log-transformed nutrient densities from dietary questionnaires. Hazard ratios (HR) and 95 % confidence intervals computed using Cox proportional hazards models quantified the association between quintiles of nutrient pattern scores and risk of overall BC, and by hormonal receptor and menopausal status. Principal component analysis was applied for comparison.SettingThe European Prospective Investigation into Cancer and Nutrition (EPIC).SubjectsWomen (n 334 850) from the EPIC study.ResultsThe first TT component (TC1) highlighted a pattern rich in nutrients found in animal foods loading on cholesterol, protein, retinol, vitamins B12 and D, while the second TT component (TC2) reflected a diet rich in β-carotene, riboflavin, thiamin, vitamins C and B6, fibre, Fe, Ca, K, Mg, P and folate. While TC1 was not associated with BC risk, TC2 was inversely associated with BC risk overall (HRQ5 v. Q1=0·89, 95 % CI 0·83, 0·95, Ptrend<0·01) and showed a significantly lower risk in oestrogen receptor-positive (HRQ5 v. Q1=0·89, 95 % CI 0·81, 0·98, Ptrend=0·02) and progesterone receptor-positive tumours (HRQ5 v. Q1=0·87, 95 % CI 0·77, 0·98, Ptrend<0·01).ConclusionsTT produces readily interpretable sparse components explaining similar amounts of variation as principal component analysis. Our results suggest that participants with a nutrient pattern high in micronutrients found in vegetables, fruits and cereals had a lower risk of BC.
Publisher
Cambridge University Press (CUP)
Subject
Public Health, Environmental and Occupational Health,Nutrition and Dietetics,Medicine (miscellaneous)