@article { author = {}, title = {Clinical and Pathological Factors Related to the Prognosis of Chinese Patients with Stage Ⅰb To Ⅱb Cervical Cancer}, journal = {Asian Pacific Journal of Cancer Prevention}, volume = {13}, number = {11}, pages = {5505-5510}, year = {2012}, publisher = {West Asia Organization for Cancer Prevention (WAOCP), APOCP's West Asia Chapter.}, issn = {1513-7368}, eissn = {2476-762X}, doi = {}, abstract = {Objective: The aim of this retrospective study is to analyze the clinical and pathological factors related to theprognosis of Chinese patients with stage Ⅰb to Ⅱb cervical cancer. Methods and Results: 13 clinical pathologicalfactors in 255 patients with stage Ⅰb to Ⅱb cervical cancer undergoing radical hysterectomy and systematiclymphadenectomy were analyzed to screen for factors related to prognosis. The cumulative 5-year survival ofthe 255 patients was 75.7%. The result of the univariate analysis suggested that clinical stage, cell differentiation,depth of cervical stromal invasion, parametrial tissue involvement, and lymph node metastasis were prognosticfactors for patients with stage Ⅰb to Ⅱb cervical cancer (P <0.05). Compared with cases with involvement of iliacnodes, obturator nodes, or inguinal lymph nodes, cases with metastasis to the common iliac lymph nodes had apoorer prognosis (P <0.05). Cases with involvement of four or more lymph nodes had a poorer prognosis thanthose with involvement of three or fewer lymph nodes (P <0.05). Using multivariate Cox proportional hazardsmodel regression analysis, non-squamous histological type, poor differentiation, parametrial tissue involvement,and outer 1/3 stromal invasion were found to be independently related to patients poor prognosis (P <0.05).Conclusion: Non-squamous histological type, poor cell differentiation, parametrial tissue involvement, andouter 1/3 stromal invasion are the independent poor prognostic factors for patients with stage Ⅰb to Ⅱb cervicalcancer.}, keywords = {Uterine Cervical Neoplasms,Pathology,Prognosis,Cox proportional hazards regression model}, url = {https://journal.waocp.org/article_27069.html}, eprint = {https://journal.waocp.org/article_27069_10f36eb764696c98a9c316c50453c977.pdf} }