Nuclear size distinguishes low- from high-grade ovarian serous carcinoma and predicts outcome

Hum Pathol. 2005 Oct;36(10):1049-54. doi: 10.1016/j.humpath.2005.07.014. Epub 2005 Sep 8.

Abstract

A dualistic model for ovarian serous carcinogenesis based on morphological and molecular genetic studies has recently been proposed. This model divides serous carcinoma into low- and high-grade tumors, which develop along distinct molecular pathways. In this report, we evaluated computerized morphometry to determine its utility in distinguishing low- and high-grade serous carcinoma. The mean nuclear area (MNA) and the volume percentage of epithelium (VPE) in 93 high-grade serous carcinomas was measured and compared with 16 low-grade serous carcinomas and 21 serous borderline tumors, the putative precursor of low-grade serous carcinoma. We found that both MNA and VPE were significantly higher in high-grade serous carcinoma compared with low-grade serous carcinoma and serous borderline tumors (P < .001 and P = .02, respectively). There was no significant difference in MNA and VPE between low-grade carcinoma and serous borderline tumors (P > .3). Among high-grade serous carcinomas, those with an MNA of 46 microm2 or higher had a poorer survival (P = .035) than those with an MNA below 46 microm2. In contrast, VPE and tumor grade (moderately versus poorly differentiated) had no significant prognostic value. The morphometry findings lend further support to the dualistic model of ovarian serous carcinogenesis and suggest that MNA is an excellent adjunctive tool for distinguishing low- from high-grade serous carcinomas. In addition, MNA is an independent prognostic factor for high-grade serous carcinoma.

Publication types

  • Comparative Study

MeSH terms

  • Cell Nucleus / pathology*
  • Cystadenocarcinoma, Serous / diagnosis*
  • Cystadenocarcinoma, Serous / pathology*
  • Diagnosis, Differential
  • Feasibility Studies
  • Female
  • Humans
  • Microarray Analysis
  • Neoplasm Staging
  • Ovarian Neoplasms / diagnosis*
  • Ovarian Neoplasms / pathology*
  • Prognosis