title: The prognostic value of DNA ploidy in a total population of uterine sarcomas.
abstract: BACKGROUND
  The diagnosis of uterine sarcoma is associated with poor outcome for the patient and there is a need for reliable prognostic markers. Most previous studies on the prognostic value of DNA ploidy include few uterine sarcomas and report conflicting results.
  
  
  METHODS
  We examined the prognostic value of DNA ploidy and its association with clinicopathological parameters and crude survival in a total population of 354 sarcoma.
  
  
  RESULTS
  In univariate analyses, we observed significantly better crude survival for endometrial stromal sarcomas (ESS) and adenosarcoma (AS) patients with diploid as compared with nondiploid tumors, but not for patients with leiomyosarcomas (LMS). In Cox multivariate analyses, DNA ploidy was the only significant predictor of survival for patients with AS. In LMS, mitotic index (MI), tumor size, tumor extent and tumor margins, whereas for ESS, MI, tumor extent and tumor necrosis obtained independent significance of survival. DNA ploidy was a significant predictor of survival for LMS patients in Cox regression analyses when excluding MI.
  
  
  CONCLUSIONS
  DNA ploidy might be useful as a prognostic marker in patients with LMS and AS.
authors.affiliation: Institute for Medical Informatics, Radiumhospitalet, Rikshospitalet University Hospital, Centre for Cancer Biomedicine, University of Oslo, Oslo, Norway.
authors.forename: W
authors.initials: W
authors.lastname: Kildal
authors.forename: V M
authors.initials: VM
authors.lastname: Abeler
authors.forename: G B
authors.initials: GB
authors.lastname: Kristensen
authors.forename: M
authors.initials: M
authors.lastname: Jenstad
authors.forename: S Ø
authors.initials: SØ
authors.lastname: Thoresen
authors.forename: H E
authors.initials: HE
authors.lastname: Danielsen
mesh_terms: D005260:Female; D042822:Genomic Instability; D006801:Humans; D008875:Middle Aged; D011003:Ploidies; D011379:Prognosis; D012509:Sarcoma / Q000235:genetics* / Q000473:pathology; D016019:Survival Analysis; D014594:Uterine Neoplasms / Q000235:genetics* / Q000473:pathology