Prognostic significance of DNA content and S-phase fraction in epithelial ovarian carcinomas analyzed by image cytometry

Gynecol Oncol. 1998 Oct;71(1):3-13. doi: 10.1006/gyno.1998.5156.

Abstract

The objective of this study was to evaluate the prognostic significance of DNA ploidy and S-phase fraction (SPF) in epithelial ovarian carcinomas analyzed by image cytometry. Frozen tissue of 103 epithelial ovarian carcinomas was analyzed for DNA ploidy and SPF with a Cell Analysis System Image Analyser (CAS 200, Becton-Dickinson) and correlations with clinical and histomorphologic factors and time to progression and overall survival were evaluated by univariate and multivariable analysis. Fifty-four percent of the ovarian carcinomas were found to be diploid, 38% aneuploid, and 8% tetraploid. The S-phase fraction was low (<5%) in 27%, intermediate (5-14.5%) in 47%, and high (>/=14.5%) in 26% of the patients. By univariate analysis overall survival and time to progression were significantly correlated with the S-phase fraction (P = 0.003 and P = 0.003), but not with DNA ploidy (P = 0. 31 and P = 0.51). A DNA index > 1.4 was correlated with poor outcome but the result did not achieve formal statistical significance (P = 0.08 and P = 0.12). A high SPF was a strong predictor of early recurrence, while a low SPF identified patients with a favorable long-term outcome. Other significant predictors of survival were FIGO stage, grade of differentiation, presence of distant metastasis, residual tumor, lymph node metastasis, and patient age. In multivariable statistical analysis only FIGO stage, histologic grade, and residual tumor after surgery were independent predictors of overall survival and time to progression.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Carcinoma / diagnosis
  • Carcinoma / genetics*
  • Carcinoma / mortality
  • Evaluation Studies as Topic
  • Female
  • Humans
  • Image Cytometry
  • Middle Aged
  • Multivariate Analysis
  • Ovarian Neoplasms / diagnosis
  • Ovarian Neoplasms / genetics*
  • Ovarian Neoplasms / mortality
  • Ploidies*
  • Prognosis
  • S Phase*
  • Survival Rate