Back to Search
Start Over
Highly-accurate metabolomic detection of early-stage ovarian cancer
- Source :
- Scientific Reports
- Publication Year :
- 2015
- Publisher :
- Springer Science and Business Media LLC, 2015.
-
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.
- Subjects :
- Adult
Support Vector Machine
Biology
Bioinformatics
Sensitivity and Specificity
Article
chemistry.chemical_compound
Metabolomics
Tandem Mass Spectrometry
Biomarkers, Tumor
medicine
Metabolome
Humans
Stage (cooking)
Chromatography, High Pressure Liquid
Early Detection of Cancer
Aged
Ovarian Neoplasms
Principal Component Analysis
Multidisciplinary
Fatty acid metabolism
Case-control study
Diagnostic test
Middle Aged
medicine.disease
chemistry
CA-125 Antigen
Case-Control Studies
Cohort
Female
Lysophospholipids
Ovarian cancer
Subjects
Details
- ISSN :
- 20452322
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....a7c1ef061203a45007152c55e4010d93