Blood Metabolites Associate with Prognosis in Endometrial Cancer.
Elin StrandIngvild L TangenKristine E FasmerHavjin JacobMari Kyllesø HalleErling A HoivikBert DelvouxJone TrovikIngfrid Salvesen HaldorsenAndrea RomanoCamilla KrakstadPublished in: Metabolites (2019)
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.
Keyphrases
- endometrial cancer
- computed tomography
- ms ms
- mass spectrometry
- contrast enhanced
- liquid chromatography
- free survival
- end stage renal disease
- magnetic resonance
- randomized controlled trial
- adipose tissue
- diffusion weighted
- patients undergoing
- newly diagnosed
- peritoneal dialysis
- young adults
- deep learning
- positron emission tomography
- gene expression
- skeletal muscle
- tandem mass spectrometry
- type diabetes
- study protocol
- current status
- simultaneous determination
- fatty acid
- amino acid
- papillary thyroid
- high resolution mass spectrometry
- image quality