title: Can flowcytometric DNA studies forecast the prognosis of endometrial hyperplasia?
abstract: OBJECTIVE
  The study is investigating the relation of the ploidy pattern and cell cycle kinetics to different types of endometrial hyperplasia to select the high-risk women who will need strict follow up surveillance.
  
  
  METHODS
  An observational study of 152 patients with endometrial hyperplasia. Endometrial samples were subjected to flowcytometric study of the nuclear DNA content to determine the ploidy pattern and cell cycle kinetics.
  
  
  RESULTS
  The mean age of women was 46.3+/-3.6 years. 15.8% of women were nulliparae, 36.8% were diabetic and 43.6% were hypertensive. 48.7% of women were obese (BMI>30). Most of endometrial samples (88.2%) were simple endometrial hyperplasia without atypia. The cell cycle kinetics in different types of endometrial hyperplasia shows that there were significant statistical differences as regards the S-phase fraction and proliferative index (PI) between typical and atypical hyperplasia.
  
  
  CONCLUSIONS
  The study of cell cycle kinetics by flowcytometry might help in picking up, among all women with endometrial hyperplasia, the group of patients who need further close and strict follow up by endometrial pathologic study. This is going to minimize the cost and invasiveness of surveillance of patients with various grades of endometrial hyperplasia.
authors.affiliation: Department of Obstetrics and Gynecology, Mansoura University Hospitals, Mansoura, Egypt.
authors.forename: Lotfi S
authors.initials: LS
authors.lastname: Sherif
authors.forename: Mohamed
authors.initials: M
authors.lastname: Totongy
authors.forename: Mohamed
authors.initials: M
authors.lastname: Tawfeek
authors.forename: Hassan
authors.initials: H
authors.lastname: Abdel-Ghafar
authors.forename: Ahmed M
authors.initials: AM
authors.lastname: Badawy
mesh_terms: D000328:Adult; D002453:Cell Cycle / Q000235:genetics*; D004247:DNA / Q000032:analysis*; D004171:Diploidy; D004714:Endometrial Hyperplasia / Q000175:diagnosis* / Q000235:genetics / Q000473:pathology; D005260:Female; D005434:Flow Cytometry; D006801:Humans; D008875:Middle Aged; D011379:Prognosis
chemical_list: D004247:DNA