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Predicting ovarian cancer recurrence by plasma metabolic profiles before and after surgery.
- Source :
-
Metabolomics . May2018, Vol. 14 Issue 5, p1-1. 1p. - Publication Year :
- 2018
-
Abstract
- Background: Previous metabolomic studies have revealed that plasma metabolic signatures may predict epithelial ovarian cancer (EOC) recurrence. However, few studies have performed metabolic profiling of pre- and post-operative specimens to investigate EOC prognostic biomarkers.Objective: The aims of our study were to compare the predictive performance of pre- and post-operative specimens and to create a better model for recurrence by combining biomarkers from both metabolic signatures.Methods: Thirty-five paired plasma samples were collected from 35 EOC patients before and after surgery. The patients were followed-up until December, 2016 to obtain recurrence information. Metabolomics using rapid resolution liquid chromatography-mass spectrometry was performed to identify metabolic signatures related to EOC recurrence. The support vector machine model was employed to predict EOC recurrence using identified biomarkers.Results: Global metabolomic profiles distinguished recurrent from non-recurrent EOC using both pre- and post-operative plasma. Ten common significant biomarkers, hydroxyphenyllactic acid, uric acid, creatinine, lysine, 3-(3,5-diiodo-4-hydroxyphenyl) lactate, phosphohydroxypyruvic acid, carnitine, coproporphyrinogen, l-beta-aspartyl-l-glutamic acid and 24,25-hydroxyvitamin D3, were identified as predictive biomarkers for EOC recurrence. The area under the receiver operating characteristic (AUC) values in pre- and post-operative plasma were 0.815 and 0.909, respectively; the AUC value after combining the two sets reached 0.964.Conclusion: Plasma metabolomic analysis could be used to predict EOC recurrence. While post-operative biomarkers have a predictive advantage over pre-operative biomarkers, combining pre- and post-operative biomarkers showed the best predictive performance and has great potential for predicting recurrent EOC. [ABSTRACT FROM AUTHOR]
- Subjects :
- *OVARIAN cancer
*CANCER relapse
*METABOLOMICS
*LIQUID chromatography
*URIC acid
Subjects
Details
- Language :
- English
- ISSN :
- 15733882
- Volume :
- 14
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- Metabolomics
- Publication Type :
- Academic Journal
- Accession number :
- 129472480
- Full Text :
- https://doi.org/10.1007/s11306-018-1354-8