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Highly-accurate metabolomic detection of early-stage ovarian cancer
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Highly-accurate metabolomic detection of early-stage ovarian cancer
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Journal Article
Highly-accurate metabolomic detection of early-stage ovarian cancer
2015
Overview
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.
Publisher
Nature Publishing Group UK,Nature Publishing Group
