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)
Gothenburg University,Göteborgs universitet,Umeå universitet,Näringsforskning,Institutionen för medicin, avdelningen för invärtesmedicin och klinisk nutrition,Institute of Medicine, Department of Internal Medicine and Clinical Nutrition
Johansson, Ingegerd (författare)
Umeå universitet,Institutionen för odontologi,Näringsforskning
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 B-12 and D, while the second TT component (TC2) reflected a diet rich in -carotene, riboflavin, thiamin, vitamins C and B-6, 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=089, 95 % CI 083, 095, P-trend<001) and showed a significantly lower risk in oestrogen receptor-positive (HRQ5 v. Q1=089, 95 % CI 081, 098, P-trend=002) and progesterone receptor-positive tumours (HRQ5 v. Q1=087, 95 % CI 077, 098, P-trend<001). 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.
Ämnesord
MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Nutrition and Dietetics (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskaper -- Näringslära (hsv//swe)
MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin (hsv//swe)
MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskaper (hsv//swe)
MEDICAL AND HEALTH SCIENCES -- Clinical Medicine (hsv//eng)
MEDICAL AND HEALTH SCIENCES -- Health Sciences (hsv//eng)
Nyckelord
Nutrient patterns
Treelet transform
Breast cancer
European Prospective Investigation into Cancer and Nutrition
Principal component analysis
Breast cancer
European Prospective Investigationinto Cancer and Nutrition