Unknown

Dataset Information

0

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

REPOSITORIES: biostudies-literature

altmetric image

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]

Similar Datasets

| S-EPMC4037858 | biostudies-other
| S-EPMC8583642 | biostudies-literature
| S-EPMC9264950 | biostudies-literature
| S-EPMC9316476 | biostudies-literature
| S-EPMC3280618 | biostudies-other
| S-EPMC3540796 | biostudies-literature
| S-EPMC3396335 | biostudies-literature
| S-EPMC7563232 | biostudies-literature
| S-EPMC4356513 | biostudies-literature
| S-EPMC4145549 | biostudies-other