ArticlePublic health nutrition2016
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).
Article in Public health nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Pooled it
- Associations between dietary patterns and the risk of breast cancer: a systematic review and meta-analysis of observational studies.Breast cancer research : BCR · 2019Pooled it
- Association between whole grain intake and breast cancer risk: a systematic review and meta-analysis of observational studies.Nutrition journal · 2018Pooled it
- Effects of rice bran milling fractions on the eating quality, starch digestion properties, and flavor characteristics of steamed bread.Food chemistry: X · 2026Article
- Association between empirically derived nutrient patterns and breast cancer: a case-control study in a Middle Eastern country.BMC nutrition · 2024Article
- Advances in dietary pattern analysis in nutritional epidemiology.European journal of nutrition · 2021Review
- Effect of the Interaction between Dietary Patterns and the Gastric Microbiome on the Risk of Gastric Cancer.Nutrients · 2021Article
- A review of statistical methods for dietary pattern analysis.Nutrition journal · 2021Review
- Patterns in metabolite profile are associated with risk of more aggressive prostate cancer: A prospective study of 3,057 matched case-control sets from EPIC.International journal of cancer · 2020Article
- Multi-Features Fusion for Fault Diagnosis of Pedal Robot Using Time-Speed Signals.Sensors (Basel, Switzerland) · 2019Article
- Patterns of adipose tissue fatty acids and the risk of atrial fibrillation: A case-cohort study.PloS one · 2018Article
- The potential contribution of dietary factors to breast cancer prevention.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2017Review
- What can we learn from dietary pattern analysis?Public health nutrition · 2016Article
Corrections and comments
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Authors and funding
49 authors at 20 institutions in 12 countries.
Funding
Abstract
objectivePattern 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). SUBJECTS: Women (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, P trend<0·01) and showed a significantly lower risk in oestrogen receptor-positive (HRQ5 v. Q1=0·89, 95 % CI 0·81, 0·98, P trend=0·02) and progesterone receptor-positive tumours (HRQ5 v. Q1=0·87, 95 % CI 0·77, 0·98, P trend<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.
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