Clinical value of morphometric and DNA flow cytometric variables as independent predictors of survival in epithelial ovarian carcinoma: a 5-year follow-up study

Int J Gynecol Pathol. 2009 Sep;28(5):432-41. doi: 10.1097/PGP.0b013e31819b2864.

Abstract

The aim of this follow-up study is to validate the clinical significance of quantitative morphometric and DNA flow cytometric variables as independent prognostic factors of overall survival and progression-free survival in epithelial ovarian carcinoma. Tumor samples were collected from 135 patients with epithelial ovarian carcinoma at 3 hospitals in the Netherlands. Evaluated clinico-pathologic variables were age, histologic subtype, differentiation grade, clinical stage [International Federation of Gynecology and Obstetrics (FIGO)], presence of ascites, serum CA-125, and the completeness of debulking surgery. Morphometry and DNA flow cytometric techniques were assessed on each tumor sample to determine the mitotic activity index (MAI), volume percentage epithelium, mean nuclear area (MNA), standard deviation of MNA (SD MNA), nuclear perimeter (NP), and DNA ploidy. Univariate analysis showed that differentiation grade, FIGO stage, presence of ascites, preoperative CA-125 levels, DNA ploidy, and MAI, NP, and MNA were of significant prognostic value. After multivariate analysis (using forward Cox proportional hazard analysis), only differentiation grade and FIGO stage remained significant. From this study, we can conclude that morphometry and DNA flow cytometry are not independent prognosticators and therefore have no clinical value in predicting prognosis in ovarian carcinoma.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Carcinoma / genetics*
  • Carcinoma / mortality
  • Carcinoma / pathology*
  • DNA, Neoplasm / analysis*
  • Disease-Free Survival
  • Female
  • Flow Cytometry
  • Follow-Up Studies
  • Humans
  • Kaplan-Meier Estimate
  • Middle Aged
  • Mitotic Index
  • Neoplasm Staging
  • Ovarian Neoplasms / genetics*
  • Ovarian Neoplasms / mortality
  • Ovarian Neoplasms / pathology*
  • Ploidies
  • Prognosis

Substances

  • DNA, Neoplasm