P53 and Bcl-2 as prognostic predictors in epithelial ovarian cancer

35Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The study was designed to evaluate the prognostic importance of clinical and pathologic variables with p53 and Bcl-2 in epithelial ovarian cancer using multivariate analysis. Tumor tissues from 90 patients were analyzed immunohistochemically for p53 and Bcl-2 expression. Hazard ratios were calculated in univariate and multivariate survival analyses. Forty-two (47%) were considered positive for p53 expression and 18 (20%) were positive for Bcl-2. Positive expression for p53 was less frequent in patients in FIGO stage I (22%). Positive staining for Bcl-2 correlated significantly with the histologic type (P < 0.01). No direct correlations could be demonstrated between p53 and Bcl-2 expression and age or histologic grade. In univariate analysis, p53 and Bcl-2 expression were not significantly correlated with overall survival, disease-free survival, or progression time. FIGO stage III and IV and residual disease ≥2 cm3 after first surgery were significantly correlated with poor outcome in univariate analysis. FIGO stage retained their independent prognostic value in multivariate analysis. Neither p53 nor Bcl-2 had any significant influence on outcome in multivariate survival analysis. FIGO stage proved to be the only significant independent prognostic factor in epithelial ovarian cancer, although residual disease remains correlated with disease-free survival.

Cite

CITATION STYLE

APA

Sagarra, R. A. M., Andrade, L. A. L. A., Martinez, E. Z., Pinto, G. A., Syrjänen, K. J., & Derchain, S. F. M. (2002). P53 and Bcl-2 as prognostic predictors in epithelial ovarian cancer. International Journal of Gynecological Cancer, 12(6), 720–727. https://doi.org/10.1136/ijgc-00009577-200211000-00006

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free