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)
File(s)
Published version
Author(s)
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.
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.
Date Issued
2015-02-23
Date Acceptance
2015-01-20
Citation
Public Health Nutrition, 2015, 19 (2), pp.242-254
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 https://dx.doi.org/10.1017/S1368980015000294
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000372639900006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
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
TOTAL-ENERGY INTAKE
DIETARY PATTERNS
PROSPECTIVE COHORT
ALCOHOL-CONSUMPTION
MEDITERRANEAN DIET
WOMENS HEALTH
DISEASE
METAANALYSIS
ASSOCIATION
PROJECT
Adult
Breast Neoplasms
Diet
Diet Surveys
Europe
Female
Food Habits
Humans
Menopause
Middle Aged
Proportional Hazards Models
Receptors, Estrogen
Receptors, Progesterone
Risk Factors
11 Medical And Health Sciences
Publication Status
Published