[Prognostic factors of epithelial ovarian cancer in young women].
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.


CONCLUSIONS
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.
Zhang
Rong
R
Department of Gynecologic Oncology, Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China.
Wu
Ling-ying
LY
Zhang
Wen-hua
WH
Li
Hong-jun
HJ
Li
Shu-min
SM
Liu
Li-ying
LY
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D002648:Child; D002675:Child, Preschool; D005260:Female; D006801:Humans; D008875:Middle Aged; D009367:Neoplasm Staging; D009375:Neoplasms, Glandular and Epithelial / Q000401:mortality* / Q000473:pathology / Q000628:therapy; D010051:Ovarian Neoplasms / Q000401:mortality* / Q000473:pathology / Q000628:therapy; D011379:Prognosis; D016016:Proportional Hazards Models; D015996:Survival Rate