title: Prognostic factors for uterine cancer in reproductive-aged women.
abstract: OBJECTIVE
  To determine the prognostic factors that influence the survival of younger women diagnosed with uterine cancer.
  
  
  METHODS
  Demographic and clinico-pathologic data were collected from the National Cancer Institute database between 1988 and 2001. Data were analyzed with Kaplan-Meier methods and Cox proportional hazards regression.
  
  
  RESULTS
  Of the 51,471 women diagnosed with uterine cancer in the study period, 2,076 (4.0%) patients were aged 40 years or younger, and 49,395 (96.0%) were older than 40. The mean age in the younger group was 35.6 years, compared with 65.2 years of the older group. The overall distribution by stage was stage I 75.4%, II 8.1%, III 6.7%, and IV 9.8%. Younger patients were more likely to be nonwhite (42.4% versus 18.3%, P<.001) and have stage I disease (79.2% versus 75.3%, P<.001), grade 1 lesions (47.6% versus 35.6%, P<.001), and sarcomas (15.9% versus 8.2%, P<.001) compared with their older counterparts. The overall 5-year disease-specific survival for younger patients was significantly better than that of older women (93.2% versus 86.4%, P<.001). On multivariable analysis, younger age, earlier stage, lower grade, nonblack race, endometrioid histology, and surgical treatment remained as significant independent prognostic factors for improved survival.
  
  
  CONCLUSIONS
  This large population-based study demonstrates that patients 40 years and younger have an overall survival advantage compared with women older than 40 years, independent of other clinico-pathologic prognosticators.
  
  
  METHODS
  III.
authors.affiliation: Division of Gynecologic Oncology, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, California 94143, USA.
authors.forename: Nita Karnik
authors.initials: NK
authors.lastname: Lee
authors.forename: Michael K
authors.initials: MK
authors.lastname: Cheung
authors.forename: Jacob Y
authors.initials: JY
authors.lastname: Shin
authors.forename: Amreen
authors.initials: A
authors.lastname: Husain
authors.forename: Nelson N
authors.initials: NN
authors.lastname: Teng
authors.forename: Jonathan S
authors.initials: JS
authors.lastname: Berek
authors.forename: Daniel S
authors.initials: DS
authors.lastname: Kapp
authors.forename: Kathryn
authors.initials: K
authors.lastname: Osann
authors.forename: John K
authors.initials: JK
authors.lastname: Chan
mesh_terms: D000230:Adenocarcinoma / Q000401:mortality* / Q000473:pathology; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D002291:Carcinoma, Papillary / Q000401:mortality* / Q000473:pathology; D005260:Female; D006801:Humans; D008875:Middle Aged; D015999:Multivariate Analysis; D011379:Prognosis; D016016:Proportional Hazards Models; D016019:Survival Analysis; D014594:Uterine Neoplasms / Q000401:mortality* / Q000473:pathology