| Objective： Ovarian cancer is the highest mortality of gynecologicalmalignancies, the incidence increased year by year, has now become a seriousimportant disease impacting on our country women’s health and life. In thisstudy, a retrospective analysis of the Fourth Hospital of Hebei MedicalUniversity, gynecological admitted on January1,2009to February1，2010,125cases of epithelial ovarian cancer patients with clinical and follow-up datato analysis the impact of epithelial ovarian cancer prognosis of many factors,to explore effective treatment and improve prognosis.Methods：To analysis ovarian cancer patients with the clinical andfollow-up data statistics，using SPSS13.0statistical software, chi-square test toanalysis the count data, Kaplan-Meier method to calculate survival rate and todraw the survival curve, screening the prognosis related factors, Log-rank testanalysis of the difference in survival between the single factor and relevantfactors, and Cox model was used for multivariate analysis of prognosticfactors, with P <0.05for the difference is significant.Results：1In this study，the age younger than53years were57（45.6%）cases，older than53years were68（54.4%）cases，single-factor analysis of the3-yearsurvival rates were78.9%and67.6%，survival curve differences of the twogroups was not statistically significant (P>0.05)；surgical-pathologic stagingwas associated with age (P<0.05).2Single-factor analysis showed that age at menarche, menopause and ageat menopause, gravidity and parity all have nothing to do with the prognosis(P>0.05)；surgical-pathologic staging was correlated with menarche age(P<0.05).3There were19cases (15.2%) in serum CA125≤35U/ml group， 66patients (52.8%) in serum CA12535U/ml to1000U/ml group and40cases (32.0%) in serum CA125＞1000U/m，single-factor analysis of the3-year survival rates were89.5%,77.3%and57.5%, the difference wasstatistically significant (P <0.05) of three groups of survival curves；surgical-pathologic staging was correlated with CA125(P <0.05).4Without lymph node metastasis were37patients (29.6%), lymph nodemetastasis were17patients (13.6%),without removal of lymph nodes were71cases (56.8%), single-factor analysis of the3-year survival rates were89.2%,47.1%and70.4%, the difference was statistically significant (P <0.05) ofthree groups of survival curves.5Without ascites were29cases (23.2%), the amount of ascites≤500mlwere59cases (47.2%), the amount of ascites>500ml were37cases (29.6%),single-factor analysis of the3-year survival rates were82.8%,79.7%and54.1%, the difference was statistically significant (P <0.05) of three groups ofsurvival curves.；surgical-pathologic staging was correlated with ascites (P<0.05).6No macroscopic residual tumor were18patients (14.4%), residualtumor≤1cm were73cases (58.4%), residual tumor>1cm were34patients(27.2%), single-factor analysis of the3-year survival rates were88.9%,86.3%and35.3%, three sets of survival curve difference was statistically significant(P <0.05).7There were15cases(12.0%) in well differentiated，67cases (53.6%) inmoderately differentiated,43cases (34.4%) in poorly differentiated,single-factor analysis of the3-year survival rates were86.7%,76.1%and62.8%, three sets of survival curves difference was statistically significant（P<0.05）；surgical-pathologic staging was correlated with tissue differentiationdegree (P <0.05).8Serous carcinoma were85cases (68.0%), mucinous carcinoma were8cases (6.4%)，endometrioid carcinoma were25cases (20.0%), clear cellcarcinoma were7cases (5.6%), single factor analysis of the3-year survivalrates were69.4%,62.5%,92.0%and57.1%, four groups of survival curvedifferences was not statistically significant (P>0.05).9There were22cases (17.6%) in stage I group，15cases (12.0%) in stageII group，13cases（10.4%）in stage IIIa and IIIb group，69cases（55.2%）in stage IIIc group，6cases（4.8%）in stage IV group，single factor analysisof the3-year survival rates were95.5%,86.7%,84.6%,63.8%and33.3%, fivegroups of survival curve difference was statistically significant (P <0.05).10There were9cases (7.2%) without chemotherapy，27cases (21.6%)routined1to5times chemotherapy，89patients (71.2%) routined more than6times chemotherapy. Single factor analysis of the3-year survival rates were33.3%,48.1%and84.3%, three sets of survival curve difference wasstatistically significant (P <0.05).11Multivariate analysis found that surgical-pathologic staging, residualtumor size and chemotherapy were independent risk factors affect theprognosis of patients with epithelial ovarian cancer(P <0.05).Conclusion：1Age，age at menarche, menopause and age at menopause, gravidity andparity all had nothing to do with the prognosis; surgical-pathologic stagingwas correlated with age and menarche age，the older and the age of menarcheearlier mostly belong to the advanced patients.2Preoperative serum CA125was a prognosis factor of epithelial ovariancarcinoma，the higher CA125，prompted the worse prognosis；surgical-pathologic staging was correlated with CA125，CA125was higher in stage Ⅲand Ⅳ thant inⅠ and Ⅱ.3Lymph nodes were the factors affecting the prognosis of epithelialovarian cancer，the prognosis of the people without lymph node metastasiswas better than with lymph node metastasis and without lymph node resection.4Ascites was a prognosis factor of epithelial ovarian cancer，theprognosis of the people without ascites was better than with ascites；surgical-pathologic staging was correlated with ascites, the ascites mostly belong to theadvanced stage.5Tissue differentiation was a prognosis factor of epithelial ovarian cancer，the higher the differentiation，the better the prognosis；surgical-pathologic staging was correlated with tissue differentiation， the lowdifferentiation patients mostly belong to the advanced stage.6Surgical-pathological staging，residual tumor size，chemotherapy wereall independent prognostic factors of epithelial ovarian cancer；the earlierstage、residual smaller、standard chemotherapy showed the one would getbetter prognosis.7Histological type had no effect on prognosis of epithelial ovariancancer. |
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