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@article{Assi:2018:ajcn/nqy074,
author = {Assi, N and Gunter, MJ and Thomas, DC and Leitzmann, M and Stepien, M and Chajès, V and Philip, T and Vineis, P and Bamia, C and Boutron-Ruault, M-C and Sandanger, TM and Molinuevo, A and Boshuizen, H and Sundkvist, A and Kühn, T and Travis, R and Overvad, K and Riboli, E and Scalbert, A and Jenab, M and Viallon, V and Ferrari, P},
doi = {ajcn/nqy074},
journal = {American Journal of Clinical Nutrition},
pages = {117--126},
title = {Metabolic signature of healthy lifestyle and its relation with risk of hepatocellular carcinoma in a large European cohort},
url = {http://dx.doi.org/10.1093/ajcn/nqy074},
volume = {108},
year = {2018}
}

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TY  - JOUR
AB  - Background: Studies using metabolomic data have identified metabolites from several compound classes that are associated with disease-related lifestyle factors. Objective: In this study, we identified metabolic signatures reflecting lifestyle patterns and related them to the risk of hepatocellular carcinoma (HCC) in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Design: Within a nested case-control study of 147 incident HCC cases and 147 matched controls, partial least squares (PLS) analysis related 7 modified healthy lifestyle index (HLI) variables (diet, BMI, physical activity, lifetime alcohol, smoking, diabetes, and hepatitis) to 132 targeted serum-measured metabolites and a liver function score. The association between the resulting PLS scores and HCC risk was examined in multivariable conditional logistic regression models, where ORs and 95% CIs were computed. Results: The lifestyle component's PLS score was negatively associated with lifetime alcohol, BMI, smoking, and diabetes, and positively associated with physical activity. Its metabolic counterpart was positively related to the metabolites sphingomyelin (SM) (OH) C14:1, C16:1, and C22:2, and negatively related to glutamate, hexoses, and the diacyl-phosphatidylcholine PC aaC32:1. The lifestyle and metabolomics components were inversely associated with HCC risk, with the ORs for a 1-SD increase in scores equal to 0.53 (95% CI: 0.38, 0.74) and 0.28 (0.18, 0.43), and the associated AUCs equal to 0.64 (0.57, 0.70) and 0.74 (0.69, 0.80), respectively. Conclusions: This study identified a metabolic signature reflecting a healthy lifestyle pattern which was inversely associated with HCC risk. The metabolic profile displayed a stronger association with HCC than did the modified HLI derived from questionnaire data. Measuring a specific panel of metabolites may identify strata of the population at higher risk for HCC and can add substantial discrimination compared with questionnaire
AU  - Assi,N
AU  - Gunter,MJ
AU  - Thomas,DC
AU  - Leitzmann,M
AU  - Stepien,M
AU  - Chajès,V
AU  - Philip,T
AU  - Vineis,P
AU  - Bamia,C
AU  - Boutron-Ruault,M-C
AU  - Sandanger,TM
AU  - Molinuevo,A
AU  - Boshuizen,H
AU  - Sundkvist,A
AU  - Kühn,T
AU  - Travis,R
AU  - Overvad,K
AU  - Riboli,E
AU  - Scalbert,A
AU  - Jenab,M
AU  - Viallon,V
AU  - Ferrari,P
DO  - ajcn/nqy074
EP  - 126
PY  - 2018///
SN  - 1938-3207
SP  - 117
TI  - Metabolic signature of healthy lifestyle and its relation with risk of hepatocellular carcinoma in a large European cohort
T2  - American Journal of Clinical Nutrition
UR  - http://dx.doi.org/10.1093/ajcn/nqy074
UR  - https://www.ncbi.nlm.nih.gov/pubmed/29924298
UR  - http://hdl.handle.net/10044/1/60490
VL  - 108
ER  -

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