PROTEOMICS - CLINICAL APPLICATIONS · 2010 · 31 citations · 26 references
MedicineBiochemistryOncologyGynecologic OncologyProteomicsSurvival AnalysisCancer BiomarkersCancer ProteomicsCancer Survival AnalysisClinical ProteomicsOvarian CancerProteomic BiomarkersOvarian Cancer BiomarkersOvarian Cancer Prognostic BiomarkersPrognostic Factors AnalysisPrognostic Index DevelopmentPrognostic ProteomicsProteomic Tumor MarkersSerum Amyloid A ProteinSerum Proteomics
PURPOSE: To determine if the level of apolipoprotein A1, hepcidin, transferrin, inter-α trypsin IV internal fragment, transthyretin (TT), connective-tissue activating protein 3 (CTAP3), serum amyloid A1, β-2 microglobulin (B2M) might have impact on overall and progression-free survival for ovarian cancer (OC) patients. EXPERIMENTAL DESIGN: Serum from 150 OC patients was tested using SELDI-TOF-MS. RESULTS: A proteomic prognostic index (xb-pro) was constructed using the regression coefficients based on inter-α trypsin IV internal fragment, B2M and TT. A multivariable Cox survival analysis including the xb-pro index showed that xb-pro (p<0.0001, HR=2.50, 95% CI: 1.65-3.79), residual tumor after primary surgery (p=0.0005), age (p=0.01) and chemotherapy (p=0.0002) are of independent prognostic value for overall survival. International Federation of Gynecology and Obstetrics stage, performance status, histological type of tumor and serum CA125 were found of no independent value. A proteomic index (xb-pfs) based on B2M and CTAP3 was found to predict progression-free survival (xb-pfs: p=0.008, HR=1.77, 95% CI: 1.17-2.70 together with type of surgery, age and chemotherapy. CONCLUSIONS AND CLINICAL RELEVANCE: We found an index with three proteomic biomarkers (xb-pro) to be of independent prognostic value for overall survival and an index with two proteomic biomarkers (xb-pfs) with evidence of independent prognostic value for progression-free survival.
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Use of proteomic patterns in serum to identify ovarian cancer
Emanuel F. Petricoin, Ali M. Ardekani, Ben A. Hitt et al. · The Lancet · 2002 · 3.3K citations
Medicine, Gynecology, Oncology +17
Zhen Zhang, Robert C. Bast, Yinhua Yu et al. · Cancer Research · 2004 · 949 citations · Full text
Medicine, Gynecology, Oncology +17