Highly-accurate metabolomic detection of early-stage ovarian cancer.

ABSTRACT: High performance mass spectrometry was employed to interrogate the serum metabolome of early-stage ovarian cancer (OC) patients and age-matched control women. The resulting spectral features were used to establish a linear support vector machine (SVM) model of sixteen diagnostic metabolites that are able to identify early-stage OC with 100% accuracy in our patient cohort. The results provide evidence for the importance of lipid and fatty acid metabolism in OC and serve as the foundation of a clinically significant diagnostic test.

SUBMITTER: Gaul DA 

PROVIDER: S-EPMC4647115 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature