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. Author manuscript; available in PMC: 2012 Nov 1.
Published in final edited form as: Future Oncol. 2012 Jan;8(1):55–71. doi: 10.2217/fon.11.135

Table 4.

Multimarker panels that discriminate ovarian cancer cases from healthy controls.

Panel Cases/controls SN/SP Analytical platform Bioinformatics method Biomarker prioritization Year Ref.
CA-125, ApoA1, TTR 200/142 74/97 MS SVM No 2004 [61]
CA-125, CA 72–4, MCSF 123/224 70/98 ELISA CT, MDA, LR Yes 2004 [59]
CA-125, IL-6, IL-8, VEGF, EGF 44/45 85/95 BBIA CT No 2005 [144]
CA-125, TTR, ApoA1 20/82 89/92 MS LR No 2007 [119]
CA-125, leptin, PRL, OPN, IGF-II, MIF 156/362 95.3/99.4 BBIA LR No 2008 [60]
CA-125, HE4, glycodelin, cPlau-R, MUC1, PAI1 200/396 80–89/87 BBIA LR Yes 2008 [124]
CA-125, HE4, CEA, VCAM-1 456/2000 86–93/98 BBIA MMC No 2010 [54,12]
CA-125, CA 19–9, EGFR, CRP, myoglobin, Apo A1, CIII, MIP1a, IL-6, IL-18, tenascin C 176/187 91.3/88.5 BBIA Knowledge Discovery Engine-VS No 2008, 2009 [52,57]
CA-125, CRP, SAA, IL-6, IL-8 150/212 94.1/91.3 BBIA LR Yes 2010 [58]
CA-125, HE4, SI 74/137 84/98.5 ELISA N/A Yes 2010 [127]

Includes independent validation set.

BBIA: Bead-based immunoassay; CT: Classification trees; LR: Logistic regression; MDA: Mixture discriminant analysis; MMC: Metropolis-Monte Carlo algorithm; MS: Mass spectroscopy; N/A: Not applicable; SI: Symptom index; SN: Sensitivity; SP: Specificity; SVM: Support vector machine.