title: Identification of five serum protein markers for detection of ovarian cancer by antibody arrays.
abstract: BACKGROUND
  Protein and antibody arrays have emerged as a promising technology to study protein expression and protein function in a high-throughput manner. These arrays also represent a new opportunity to profile protein expression levels in cancer patients' samples and to identify useful biosignatures for clinical diagnosis, disease classification, prediction, drug development and patient care. We applied antibody arrays to discover a panel of proteins which may serve as biomarkers to distinguish between patients with ovarian cancer and normal controls.
  
  
  RESULTS
  Using a case-control study design of 34 ovarian cancer patients and 53 age-matched healthy controls, we profiled the expression levels of 174 proteins using antibody array technology and determined the CA125 level using ELISA. The expression levels of those proteins were analyzed using 3 discriminant methods, including artificial neural network, classification tree and split-point score analysis. A panel of 5 serum protein markers (MSP-alpha, TIMP-4, PDGF-R alpha, and OPG and CA125) was identified, which could effectively detect ovarian cancer with high specificity (95%) and high sensitivity (100%), with AUC =0.98, while CA125 alone had an AUC of 0.87.
  
  
  CONCLUSIONS
  Our pilot study has shown the promising set of 5 serum markers for ovarian cancer detection.
authors.affiliation: RayBiotech, Inc, Norcross, Georgia, United States of America.
authors.forename: Weidong
authors.initials: W
authors.lastname: Jiang
authors.forename: Ruochun
authors.initials: R
authors.lastname: Huang
authors.forename: Chaohui
authors.initials: C
authors.lastname: Duan
authors.forename: Liwu
authors.initials: L
authors.lastname: Fu
authors.forename: Yun
authors.initials: Y
authors.lastname: Xi
authors.forename: Yuebo
authors.initials: Y
authors.lastname: Yang
authors.forename: Wei-Min
authors.initials: WM
authors.lastname: Yang
authors.forename: Dongzi
authors.initials: D
authors.lastname: Yang
authors.forename: Dong-Hua
authors.initials: DH
authors.lastname: Yang
authors.forename: Ruo-Pan
authors.initials: RP
authors.lastname: Huang
mesh_terms: D000328:Adult; D000368:Aged; D000906:Antibodies / Q000097:blood*; D014408:Biomarkers, Tumor / Q000097:blood* / Q000145:classification; D018394:CA-125 Antigen / Q000097:blood; D016022:Case-Control Studies; D016000:Cluster Analysis; D004797:Enzyme-Linked Immunosorbent Assay; D005260:Female; D006801:Humans; D046228:Microarray Analysis / Q000379:methods; D008875:Middle Aged; D016571:Neural Networks, Computer; D053244:Osteoprotegerin / Q000097:blood; D010051:Ovarian Neoplasms / Q000097:blood* / Q000175:diagnosis; D040901:Proteomics / Q000379:methods*; D020796:Receptor, Platelet-Derived Growth Factor alpha / Q000097:blood; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D019714:Tissue Inhibitor of Metalloproteinases / Q000097:blood; D000097792:Tissue Inhibitor of Metalloproteinase-4
chemical_list: D000906:Antibodies; D014408:Biomarkers, Tumor; D018394:CA-125 Antigen; D053244:Osteoprotegerin; D020796:Receptor, Platelet-Derived Growth Factor alpha; D019714:Tissue Inhibitor of Metalloproteinases; D000097792:Tissue Inhibitor of Metalloproteinase-4