Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/160098
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)
Author: Assi, Nada
Moskal, Aurelie
Slimani, Nadia
Viallon, Vivian
Chajès, Véronique
Freisling, Heinz
Monni, Stefano
Knüppel, Sven
Förster, Jana
Weiderpass, Elisabete
Luján Barroso, Leila
Amiano, Pilar
Ardanaz, Eva
Molina Montes, Esther
Salmerón, Diego
Quirós, J. 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
Santucci de Magistris, Maria
Masala, Giovanna
Agnoli, Claudia
Ricceri, Fulvio
Tumino, Rosario
Bueno de Mesquita, H. Bas
Bakker, Marije F.
Peeters, Petra H. M.
Skeie, Guri
Braaten, Tonje
Winkvist, Anna
Johansson, Ingegerd
Keywords: Nutrició
Càncer
Nutrition
Cancer
Issue Date: 23-Feb-2016
Publisher: Cambridge University Press
Abstract: Objective: 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. Design: 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. Setting: The European Prospective Investigation into Cancer and Nutrition (EPIC). Subjects: Women (n 334 850) from the EPIC study. Results: 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). Conclusions: 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.
Note: Reproducció del document publicat a: https://doi.org/10.1017/S1368980015000294
It is part of: Public Health Nutrition, 2016, vol. 19, num. 2, p. 242-254
URI: http://hdl.handle.net/2445/160098
Related resource: https://doi.org/10.1017/S1368980015000294
ISSN: 1368-9800
Appears in Collections:Articles publicats en revistes (Infermeria de Salut Pública, Salut mental i Maternoinfantil)
Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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