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Diet-Related Metabolomic Signature of Long-Term Breast Cancer Risk Using Penalized Regression: An Exploratory Study in the SU.VI.MAX Cohort

dc.rights.licenseopenen_US
dc.contributor.authorLECUYER, L.
dc.contributor.authorDALLE, C.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorLEFEVRE ARBOGAST, Sophie
dc.contributor.authorMICHEAU, P.
dc.contributor.authorLYAN, B.
dc.contributor.authorROSSARY, A.
dc.contributor.authorDEMIDEM, A.
dc.contributor.authorPETERA, M.
dc.contributor.authorLAGREE, M.
dc.contributor.authorCENTENO, D.
dc.contributor.authorGALAN, P.
dc.contributor.authorHERCBERG, S.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorSAMIERI, Cecilia
dc.contributor.authorASSI, N.
dc.contributor.authorFERRARI, P.
dc.contributor.authorVIALLON, V.
dc.contributor.authorDESCHASAUX, M.
dc.contributor.authorPARTULA, V.
dc.contributor.authorSROUR, B.
dc.contributor.authorLATINO-MARTEL, P.
dc.contributor.authorKESSE-GUYOT, E.
dc.contributor.authorDRUESNE-PECOLLO, N.
dc.contributor.authorVASSON, M. P.
dc.contributor.authorDURAND, S.
dc.contributor.authorPUJOS-GUILLOT, E.
dc.contributor.authorMANACH, C.
dc.contributor.authorTOUVIER, M.
dc.date.accessioned2021-02-24T10:46:31Z
dc.date.available2021-02-24T10:46:31Z
dc.date.issued2020
dc.identifier.issn1538-7755 (Electronic) 1055-9965 (Linking)en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/26339
dc.description.abstractEnBackground: Diet has been recognized as a modifiable risk factor for breast cancer. Highlighting predictive diet-related biomarkers would be of great public health relevance to identify at-risk subjects. The aim of this exploratory study was to select diet-related metabolites discriminating women at higher risk of breast cancer using untargeted metabolomics. Methods: Baseline plasma samples of 200 incident breast cancer cases and matched controls, from a nested case–control study within the Supplémentation en Vitamines et Minéraux Antioxydants (SU.VI.MAX) cohort, were analyzed by untargeted LC-MS. Diet-related metabolites were identified by partial correlation with dietary exposures, and best predictors of breast cancer risk were then selected by Elastic Net penalized regression. The selection stability was assessed using bootstrap resampling. Results: 595 ions were selected as candidate diet–related metabolites. Fourteen of them were selected by Elastic Net regression as breast cancer risk discriminant ions. A lower level of piperine (a compound from pepper) and higher levels of acetyltributylcitrate (an alternative plasticizer to phthalates), pregnene-triol sulfate (a steroid sulfate), and 2-amino-4-cyano butanoic acid (a metabolite linked to microbiota metabolism) were observed in plasma from women who subsequently developed breast cancer. This metabolomic signature was related to several dietary exposures such as a “Western” dietary pattern and higher alcohol and coffee intakes. Conclusions: Our study suggested a diet-related plasma metabolic signature involving exogenous, steroid metabolites, and microbiota-related compounds associated with long-term breast cancer risk that should be confirmed in large-scale independent studies. Impact: These results could help to identify healthy women at higher risk of breast cancer and improve the understanding of nutrition and health relationship.
dc.language.isoENen_US
dc.subjectLEHA
dc.title.enDiet-Related Metabolomic Signature of Long-Term Breast Cancer Risk Using Penalized Regression: An Exploratory Study in the SU.VI.MAX Cohort
dc.title.alternativeCancer Epidemiol Biomarkers Preven_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1158/1055-9965.Epi-19-0900en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed31767565en_US
bordeaux.journalCancer Epidemiology, Biomarkers and Preventionen_US
bordeaux.page396-405en_US
bordeaux.volume29en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.issue2en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.teamLEHA_BPH
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.exportfalse
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