title: The prognostic value of clinical, pathologic, and biologic parameters in ovarian cancer.
abstract: BACKGROUND
  The prognosis in ovarian cancer remains poor, and there is a need to identify patients who are less likely to respond to treatment.
  
  
  METHODS
  In a study of 133 unselected patients with ovarian adenocarcinoma treated by a standard protocol, variables such as age, tumor type, International Federation of Gynecology and Obstetrics stage, cellular differentiation, amount of residual disease after surgery, and results from flow cytometry were correlated with survival and relapse at 24 months.
  
  
  RESULTS
  Although stage and cellular differentiation were found to be significant associations with survival and relapse, multivariate analyses identified only residual disease and ploidy status (and the related DNA index and percentage of aneuploid cells) as independent prognostic variables. The magnitude of the effect of ploidy depended on the amount of residual disease; among patients with less disease (< 2 cm), the mortality rate was nearly fourfold higher for those with aneuploid tumors than for those with diploid tumors.
  
  
  CONCLUSIONS
  Routine use of ploidy determination in ovarian cancer is an important prognostic indicator, especially for a subgroup of patients with minimal residual disease.
authors.affiliation: Department of Obstetrics and Gynaecology, University of Queensland, Herston, Australia.
authors.forename: S K
authors.initials: SK
authors.lastname: Khoo
authors.forename: D
authors.initials: D
authors.lastname: Battistutta
authors.forename: T
authors.initials: T
authors.lastname: Hurst
authors.forename: B
authors.initials: B
authors.lastname: Sanderson
authors.forename: B G
authors.initials: BG
authors.lastname: Ward
authors.forename: K
authors.initials: K
authors.lastname: Free
mesh_terms: D000230:Adenocarcinoma / Q000401:mortality* / Q000473:pathology; D000368:Aged; D002454:Cell Differentiation; D005260:Female; D005434:Flow Cytometry; D006801:Humans; D008875:Middle Aged; D015999:Multivariate Analysis; D010051:Ovarian Neoplasms / Q000401:mortality* / Q000473:pathology; D011003:Ploidies; D011379:Prognosis