Highly-accurate metabolomic detection of early-stage ovarian cancer.
Ontology highlight
ABSTRACT:
SUBMITTER: Gaul DA
PROVIDER: S-EPMC4647115 | biostudies-literature | 2015
REPOSITORIES: biostudies-literature
Publications
Highly-accurate metabolomic detection of early-stage ovarian cancer.
Gaul David A DA Mezencev Roman R Long Tran Q TQ Jones Christina M CM Benigno Benedict B BB Gray Alexander A Fernández Facundo M FM McDonald John F JF
Scientific reports 20151117
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 cli ...[more]
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