title: 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.
authors.affiliation: School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta GA 30332 (USA).|School of Biology, Integrated Cancer Research Center, Georgia Institute of Technology, Atlanta GA 30332 (USA).
authors.forename: David A
authors.initials: DA
authors.lastname: Gaul
authors.affiliation: School of Biology, Integrated Cancer Research Center, Georgia Institute of Technology, Atlanta GA 30332 (USA).
authors.forename: Roman
authors.initials: R
authors.lastname: Mezencev
authors.affiliation: College of Computing, Georgia Institute of Technology, Atlanta GA 30332 (USA).
authors.forename: Tran Q
authors.initials: TQ
authors.lastname: Long
authors.affiliation: School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta GA 30332 (USA).
authors.forename: Christina M
authors.initials: CM
authors.lastname: Jones
authors.affiliation: Ovarian Cancer Institute, Atlanta GA 30342 (USA).
authors.forename: Benedict B
authors.initials: BB
authors.lastname: Benigno
authors.affiliation: College of Computing, Georgia Institute of Technology, Atlanta GA 30332 (USA).
authors.forename: Alexander
authors.initials: A
authors.lastname: Gray
authors.affiliation: School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta GA 30332 (USA).|Parker H. Petit Institute of Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta GA 30332 (USA).
authors.forename: Facundo M
authors.initials: FM
authors.lastname: Fernández
authors.affiliation: School of Biology, Integrated Cancer Research Center, Georgia Institute of Technology, Atlanta GA 30332 (USA).|Ovarian Cancer Institute, Atlanta GA 30342 (USA).|Parker H. Petit Institute of Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta GA 30332 (USA).
authors.forename: John F
authors.initials: JF
authors.lastname: McDonald
mesh_terms: D000328:Adult; D000368:Aged; D014408:Biomarkers, Tumor / Q000097:blood*; D018394:CA-125 Antigen / Q000097:blood; D016022:Case-Control Studies; D002851:Chromatography, High Pressure Liquid; D055088:Early Detection of Cancer / Q000592:standards*; D005260:Female; D006801:Humans; D008246:Lysophospholipids / Q000097:blood; D055442:Metabolome; D055432:Metabolomics; D008875:Middle Aged; D010051:Ovarian Neoplasms / Q000097:blood* / Q000378:metabolism / Q000473:pathology*; D025341:Principal Component Analysis; D012680:Sensitivity and Specificity; D060388:Support Vector Machine; D053719:Tandem Mass Spectrometry
chemical_list: D014408:Biomarkers, Tumor; D018394:CA-125 Antigen; D008246:Lysophospholipids; C008301:lysophosphatidylethanolamine; C025449:lysophosphatidylinositol