title: Prognostic value of flow cytometric deoxyribonucleic acid index in endometrial carcinoma: comparison with other clinical-pathologic parameters.
abstract: OBJECTIVE
  The aims of the current study were to verify the impact of flow cytometric deoxyribonucleic acid index on clinical outcome in endometrial carcinoma and to assess whether its value is independent from the other clinical-pathologic features.
  
  
  METHODS
  In a prospective series 74 cases of endometrial carcinoma with surgery performed at our institution were studied. Flow cytometry was performed on fresh tumor samples. The median follow-up period was 31 months (range 8 to 52). Disease-free survival and actuarial survival were the end points of the study.
  
  
  RESULTS
  Among the 74 patients (53 with diploid and 21 with aneuploid tumors) there were 14 recurrences and 10 deaths caused by the disease. The recurrence rate was 7.5% for the diploid and 47.6% for the aneuploid tumors (p < 0.001). Mortality was 3.8% for diploid and 38% for aneuploid cases (p < 0.001). Disease-free survival was 89.1% in the former group and 36.3% in the latter. Actuarial survival (Kaplan-Meier method) was 94.7% and 49.5%, respectively. Deoxyribonucleic acid index, stage (International Federation of Gynecology and Obstetrics), and grade of differentiation were significantly correlated with survival, whereas age, depth of myometrial invasion, and histologic type were not. In a multivariate analysis (Cox proportional hazards) deoxyribonucleic acid index was the strongest independent predictor of clinical outcome, followed by International Federation of Gynecology and Obstetrics stage, whereas grade of differentiation yielded no independent prognostic information.
  
  
  CONCLUSIONS
  The flow cytometric deoxyribonucleic acid index is an important independent prognosticator, and its determination should be included in the standard management of endometrial cancer.
authors.affiliation: Obstetrics and Gynecology Department, Florence University, Italy.
authors.forename: T
authors.initials: T
authors.lastname: Susini
authors.forename: S
authors.initials: S
authors.lastname: Rapi
authors.forename: L
authors.initials: L
authors.lastname: Savino
authors.forename: V
authors.initials: V
authors.lastname: Boddi
authors.forename: P
authors.initials: P
authors.lastname: Berti
authors.forename: G
authors.initials: G
authors.lastname: Massi
mesh_terms: D000206:Actuarial Analysis; D000230:Adenocarcinoma / Q000235:genetics* / Q000401:mortality / Q000473:pathology; D018195:Adenosarcoma / Q000235:genetics / Q000401:mortality / Q000473:pathology; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000782:Aneuploidy; D004273:DNA, Neoplasm / Q000032:analysis / Q000235:genetics*; D004171:Diploidy; D016889:Endometrial Neoplasms / Q000235:genetics* / Q000401:mortality / Q000473:pathology; D005260:Female; D005434:Flow Cytometry; D006801:Humans; D008593:Menopause; D008875:Middle Aged; D009361:Neoplasm Invasiveness; D009367:Neoplasm Staging; D011379:Prognosis; D016016:Proportional Hazards Models; D011446:Prospective Studies; D016019:Survival Analysis
chemical_list: D004273:DNA, Neoplasm