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dc.contributor.authorHis, Mathilde
dc.contributor.authorViallon, Vivian
dc.contributor.authorDossus, Laure
dc.contributor.authorGicquiau, Audrey
dc.contributor.authorAchaintre, David
dc.contributor.authorScalbert, Augustin
dc.contributor.authorFerrari, Pietro
dc.contributor.authorRomieu, Isabelle
dc.contributor.authorOnland-Moret, N. Charlotte
dc.contributor.authorWeiderpass, Elisabete
dc.contributor.authorDahm, Christina C.
dc.contributor.authorOvervad, Kim
dc.contributor.authorOlsen, Anja
dc.contributor.authorTjønneland, Anne
dc.contributor.authorFournier, Agnès
dc.contributor.authorRothwell, Joseph A.
dc.contributor.authorSeveri, Gianluca
dc.contributor.authorKühn, Tilman
dc.contributor.authorFortner, Renée Turzanski
dc.contributor.authorBoeing, Heiner
dc.contributor.authorTrichopoulou, Antonia
dc.contributor.authorKarakatsani, Anna
dc.contributor.authorMartimianaki, Georgia
dc.contributor.authorMasala, Giovanna
dc.contributor.authorSieri, Sabina
dc.contributor.authorTumino, Rosario
dc.contributor.authorVineis, Paolo
dc.contributor.authorPanico, Salvatore
dc.contributor.authorvan Gils, Carla H.
dc.contributor.authorNøst, Therese Haugdahl
dc.contributor.authorSandanger, Torkjel M
dc.contributor.authorSkeie, Guri
dc.contributor.authorQuirós, José Ramón
dc.contributor.authorAgudo, Antonio
dc.contributor.authorSánchez, María-José
dc.contributor.authorAmiano, Pilar
dc.contributor.authorHuerta, José María
dc.contributor.authorArdanaz, Eva
dc.contributor.authorSchmidt, Julie A.
dc.contributor.authorTravis, Ruth C.
dc.contributor.authorRiboli, Elio
dc.contributor.authorTsilidis, Konstantinos K.
dc.contributor.authorChristakoudi, Sofia
dc.contributor.authorGunter, Mark J.
dc.contributor.authorRinaldi, Sabina
dc.date.accessioned2020-02-28T09:08:37Z
dc.date.available2020-02-28T09:08:37Z
dc.date.issued2019-09-24
dc.description.abstract<i>Background</i> - Metabolomics is a promising molecular tool to identify novel etiologic pathways leading to cancer. Using a targeted approach, we prospectively investigated the associations between metabolite concentrations in plasma and breast cancer risk.<p> <p><i>Methods</i> - A nested case-control study was established within the European Prospective Investigation into Cancer cohort, which included 1624 first primary incident invasive breast cancer cases (with known estrogen and progesterone receptor and HER2 status) and 1624 matched controls. Metabolites (<i>n</i> = 127, acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose, sphingolipids) were measured by mass spectrometry in pre-diagnostic plasma samples and tested for associations with breast cancer incidence using multivariable conditional logistic regression.<p> <p><i>Results</i> - Among women not using hormones at baseline (<i>n</i> = 2248), and after control for multiple tests, concentrations of arginine (odds ratio [OR] per SD = 0.79, 95% confidence interval [CI] = 0.70–0.90), asparagine (OR = 0.83 (0.74–0.92)), and phosphatidylcholines (PCs) ae C36:3 (OR = 0.83 (0.76–0.90)), aa C36:3 (OR = 0.84 (0.77–0.93)), ae C34:2 (OR = 0.85 (0.78–0.94)), ae C36:2 (OR = 0.85 (0.78–0.88)), and ae C38:2 (OR = 0.84 (0.76–0.93)) were inversely associated with breast cancer risk, while the acylcarnitine C2 (OR = 1.23 (1.11–1.35)) was positively associated with disease risk. In the overall population, C2 (OR = 1.15 (1.06–1.24)) and PC ae C36:3 (OR = 0.88 (0.82–0.95)) were associated with risk of breast cancer, and these relationships did not differ by breast cancer subtype, age at diagnosis, fasting status, menopausal status, or adiposity.en_US
dc.identifier.citationHis, M., Viallon, V., Dossus, L., Gicquiau, A., Achaintre, D., Scalbert, A. ... Rinaldi, S. (2019). Prospective analysis of circulating metabolites and breast cancer in EPIC. <i>BMC Medicine, 17</i>:178.en_US
dc.identifier.cristinIDFRIDAID 1797767
dc.identifier.doi10.1186/s12916-019-1408-4
dc.identifier.issn1741-7015
dc.identifier.urihttps://hdl.handle.net/10037/17548
dc.language.isoengen_US
dc.publisherBMCen_US
dc.relation.journalBMC Medicine
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/?/?/?/?/?/en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2019 The Author(s)en_US
dc.subjectVDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801en_US
dc.subjectVDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801en_US
dc.titleProspective analysis of circulating metabolites and breast cancer in EPICen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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