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Prognostic Multivariate Analysis Of Stage ⅢA(N2) Non-small Cell Lung Cancer With Complete Excision

Posted on:2011-09-13Degree:MasterType:Thesis
Country:ChinaCandidate:X XuFull Text:PDF
GTID:2154360308483530Subject:Oncology
Abstract/Summary:PDF Full Text Request
Purpose: To summarize the survival information of stage IIIA(N2) non-small cell lung cancer with Complete excision, and study prognostic influential factors of stage IIIA(N2) non-small cell lung cancer. Methods: The clinical data of 98 patients of stage IIIA(N2) non-small cell lung cancer (NSCLC) were collected and analyzed retrospectively in XJ medicine university affiliated cancer institute from Jan. 2000 to Dec.2006, Evaluation index was 1, 3, 5 years survival rate. SPSS 13.0 for windows software was used for statistics, univariate analysis were performed by Kaplan-Meier and Log-Rank analysis, the Cox regression multivariate analysis model was adopted for evaluating the influencing factors of the survival rate of patients. Results: In this study, the median survival time of patients was 19.8 months, the 1, 3, 5 years survival rate of patients was 81.6%, 31.7%, and 13.7% respectively. Univariate analysis shown that preoperative chemotherapy, the maximal diameter of tumor, postoperative chemotherapy periodicity, and the patterns of lymph node dissection were important prognostic influential factors. Multivariate analysis of Cox regression identified 3 factors of prognosis: maximal diameter of tumor, postoperative chemotherapy periodicity, and the patterns of lymph node dissection were independent prognostic influential factors. Conclusions: maximal diameter of tumor, postoperative chemotherapy periodicity, and the patterns of lymph node dissection were closely related to prognosis of stage IIIA (N2) non-small cell lung cancer with complete excision. Early diagnosis, supplemented by early and standardized therapy, can make stage IIIA(N2) NSCLC a longer survival.
Keywords/Search Tags:Lung neoplasms, Non-small cell lung cancer (NSCLC), Prognosis, multivariate analysis
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