[Prognostic factors of epithelial ovarian cancer in young women]

Zhonghua Zhong Liu Za Zhi. 2003 May;25(3):264-7.
[Article in Chinese]

Abstract

Objective: To evaluate the clinical characteristics, survival rate and prognosis of young patients with epithelial ovarian carcinoma.

Methods: The clinic data of 455 women with epithelial ovarian carcinoma were reviewed. Kaplan-Meier method was used to calculate the survival rate. Cox proportional hazards regression model was used to determine the independent effect of each variable on survival.

Results: Of 445 patients with epithelial ovarian carcinoma, 92 were < or = 40 years of age and 363 were older. Higher incidence of early-stage, well differentiation and mucous cell type but lower incidence of serous cell type, ascites and residual tumors were found in the younger group. The overall 5-year survival rates were 79.55% in < or = 40 years group and 28.2% in > 40 years group (P < 0.001). Univariate analysis showed that the survival rate of patients < or = 40 years was significantly higher than that of > 40 years. Only age, stage and residual disease were found to be the significant independent prognostic factors by the multivariate analysis.

Conclusion: Epithelial ovarian carcinoma in patients with age </= 40 has higher incidence of early stage, well differentiation and mucous cystadenocarcinoma as well as a higher 5-year survival rate but lower possibility of residual tumor and ascites. Stage, residual tumor size and age are independent prognostic factors of epithelial ovarian carcinoma.

Publication types

  • English Abstract

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Child
  • Child, Preschool
  • Female
  • Humans
  • Middle Aged
  • Neoplasm Staging
  • Neoplasms, Glandular and Epithelial / mortality*
  • Neoplasms, Glandular and Epithelial / pathology
  • Neoplasms, Glandular and Epithelial / therapy
  • Ovarian Neoplasms / mortality*
  • Ovarian Neoplasms / pathology
  • Ovarian Neoplasms / therapy
  • Prognosis
  • Proportional Hazards Models
  • Survival Rate