A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)

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Title: A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)
Authors: Assi, N
Moskal, A
Slimani, N
Viallon, V
Chajes, V
Freisling, H
Monni, S
Knueppel, S
Foerster, J
Weiderpass, E
Lujan-Barroso, L
Amiano, P
Ardanaz, E
Molina-Montes, E
Salmeron, D
Ramon Quiros, J
Olsen, A
Tjonneland, A
Dahm, CC
Overvad, K
Dossus, L
Fournier, A
Baglietto, L
Fortner, RT
Kaaks, R
Trichopoulou, A
Bamia, C
Orfanos, P
De Magistris, MS
Masala, G
Agnoli, C
Ricceri, F
Tumino, R
De Mesquita, HBB
Bakker, MF
Peeters, PHM
Skeie, G
Braaten, T
Winkvist, A
Johansson, I
Khaw, K-T
Wareham, NJ
Key, T
Travis, R
Schmidt, JA
Merritt, MA
Riboli, E
Romieu, I
Ferrari, P
Item Type: Journal Article
Abstract: Pattern 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. Nutrient 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. The European Prospective Investigation into Cancer and Nutrition (EPIC). Women (n 334 850) from the EPIC study. The 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). TT 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.
Issue Date: 23-Feb-2015
Date of Acceptance: 20-Jan-2015
ISSN: 1475-2727
Publisher: Cambridge University Press (CUP)
Start Page: 242
End Page: 254
Journal / Book Title: Public Health Nutrition
Volume: 19
Issue: 2
Copyright Statement: © 2015 The Authors. The article was published in Public Health Nutrition and is available online at
Keywords: Science & Technology
Life Sciences & Biomedicine
Public, Environmental & Occupational Health
Nutrition & Dietetics
Nutrient patterns
Treelet transform
Breast cancer
European Prospective Investigationinto Cancer and Nutrition
Principal component analysis
Breast Neoplasms
Diet Surveys
Food Habits
Middle Aged
Proportional Hazards Models
Receptors, Estrogen
Receptors, Progesterone
Risk Factors
11 Medical And Health Sciences
Publication Status: Published
Appears in Collections:Faculty of Medicine
Epidemiology, Public Health and Primary Care

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