A-45 PREDICTING HIGH-RISK HUMAN PAPILLOMAVIRUS INFECTION, PROGRESSION OF CERVICAL INTRAEPrTHELIAL NEOPLASIA AND PROGNOSIS OF CERVICAL CANCER WITH A PANEL OF 13 EIOMARKERS TESTED IN MULTIVARIATE MODELING

摘要

We used comprehensive multivariate models to disclose, whether any of out previously analyzed 13 markers or any panel of markers would be independent predictors of intermediate end-point markers in cervical carcinogen esis. MATERIAL AND METHODS: A series of 150 CC and 152 cervical intr a epithelial neoplasia (CIN) lesions have been examined using nrununohistochemical (IHC) staining for the following bio-markers: E-cadherin, ERK-1, LR67, MMP-2, TIMP-2, NFkB, nm23-Hl, p16ink4A, PCNA, Survivin, hTERT, Topo-2a and VEGF-C. Multivariate models were constructed to test predictive power of the markers for 3 outcomes: high-grade CIN, HR-HPV, CC survival. Performance indicators were calculated using the algorithm of Seed et al.