Blood Metabolites Associate with Prognosis in Endometrial Cancer.

Autor: Strand E; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, N-5021 Bergen, Norway.; Department of Gynaecology and Obstetrics, Haukeland University Hospital, N-5021 Bergen, Norway., Tangen IL; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, N-5021 Bergen, Norway.; Department of Gynaecology and Obstetrics, Haukeland University Hospital, N-5021 Bergen, Norway., Fasmer KE; Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, N-5021 Bergen, Norway.; Section for Radiology, Department of Clinical Medicine, University of Bergen, N-5021 Bergen, Norway., Jacob H; Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, N-5021 Bergen, Norway.; Section for Radiology, Department of Clinical Medicine, University of Bergen, N-5021 Bergen, Norway., Halle MK; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, N-5021 Bergen, Norway.; Department of Gynaecology and Obstetrics, Haukeland University Hospital, N-5021 Bergen, Norway., Hoivik EA; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, N-5021 Bergen, Norway.; Department of Gynaecology and Obstetrics, Haukeland University Hospital, N-5021 Bergen, Norway., Delvoux B; Department of Obstetrics and Gynaecology, Maastricht University, 6211 LK Maastricht, The Netherlands., Trovik J; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, N-5021 Bergen, Norway.; Department of Gynaecology and Obstetrics, Haukeland University Hospital, N-5021 Bergen, Norway., Haldorsen IS; Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, N-5021 Bergen, Norway.; Section for Radiology, Department of Clinical Medicine, University of Bergen, N-5021 Bergen, Norway., Romano A; Department of Obstetrics and Gynaecology, Maastricht University, 6211 LK Maastricht, The Netherlands.; ENITEC: European Network for Individualised Treatment of Endometrial Cancer (within the European Society of Gynaecological Oncology), This study is an ENITEC collaboration, https://www.esgo.org., Krakstad C; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, N-5021 Bergen, Norway.; Department of Gynaecology and Obstetrics, Haukeland University Hospital, N-5021 Bergen, Norway.
Jazyk: angličtina
Zdroj: Metabolites [Metabolites] 2019 Dec 14; Vol. 9 (12). Date of Electronic Publication: 2019 Dec 14.
DOI: 10.3390/metabo9120302
Abstrakt: Endometrial 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.
Databáze: MEDLINE
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