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dc.contributor.authorStrand, Elinen_US
dc.contributor.authorTangen, Ingvild Løbergen_US
dc.contributor.authorFasmer, Kristine Eldeviken_US
dc.contributor.authorJacob, Havjinen_US
dc.contributor.authorHalle, Mari Kyllesøen_US
dc.contributor.authorHoivik, Erling Aen_US
dc.contributor.authorDelvoux, Berten_US
dc.contributor.authorTrovik, Joneen_US
dc.contributor.authorHaldorsen, Ingfrid S.en_US
dc.contributor.authorRomano, Andreaen_US
dc.contributor.authorKrakstad, Camillaen_US
dc.date.accessioned2020-05-25T13:28:50Z
dc.date.available2020-05-25T13:28:50Z
dc.date.issued2019-12-14
dc.PublishedStrand E, Tangen IL, Fasmer KE, Jacob H, Halle MK, Hoivik EA, Delvoux B, Trovik J, Haldorsen IS, Romano A, Krakstad C. Blood Metabolites Associate with Prognosis in Endometrial Cancer. Metabolites. 2019;9(12)eng
dc.identifier.issn2218-1989
dc.identifier.urihttps://hdl.handle.net/1956/22369
dc.description.abstractEndometrial cancer has a high prevalence among post-menopausal women in developed countries. We aimed to explore whether certain metabolic patterns could be related to the characteristics of aggressive disease and poorer survival among endometrial cancer patients in Western Norway. Patients with endometrial cancer with short survival (n = 20) were matched according to FIGO (International Federation of Gynecology and Obstetrics, 2009 criteria) stage, histology, and grade, with patients with long survival (n = 20). Plasma metabolites were measured on a multiplex system including 183 metabolites, which were subsequently determined using liquid chromatography-mass spectrometry. Partial least square discriminant analysis, together with hierarchical clustering, was used to identify patterns which distinguished short from long survival. A proposed signature of metabolites related to survival was suggested, and a multivariate receiver operating characteristic (ROC) analysis yielded an area under the curve (AUC) of 0.820–0.965 (p ≤ 0.001). Methionine sulfoxide seems to be particularly strongly associated with poor survival rates in these patients. In a subgroup with preoperative contrast-enhanced computed tomography data, selected metabolites correlated with the estimated abdominal fat distribution parameters. Metabolic signatures may predict prognosis and be promising supplements when evaluating phenotypes and exploring metabolic pathways related to the progression of endometrial cancer. In the future, this may serve as a useful tool in cancer management.en_US
dc.language.isoengeng
dc.publisherMDPIeng
dc.rightsAttribution CC BYeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subjectMetabolomicseng
dc.subjectBiomarkereng
dc.subjectEndometrial cancereng
dc.titleBlood Metabolites Associate with Prognosis in Endometrial Canceren_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2020-01-23T11:29:11Z
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2019 The Authors
dc.identifier.doihttps://doi.org/10.3390/metabo9120302
dc.identifier.cristin1780770
dc.source.journalMetabolites
dc.relation.projectKreftforeningen: 190202
dc.relation.projectNorges forskningsråd: 273280


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