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食管同时性多原发癌患者临床特征及预后分析

Characteristics and prognostic factors of patients with synchronous multiple primary esophageal carcinomas
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摘要 目的探讨食管同时性多原发癌患者的临床特征及预后影响因素。方法回顾性分析52例食管同时性多原发癌患者的临床资料及生存资料,用Kaplan—Meier法、Log—rank检验及Cox回归模型等方法分析其预后影响因素。结果52例患者的中位生存期为15个月(2~90个月),1、3、5年生存率分别为65.4%、17.3%及7.7%。其中12例手术患者的中位生存期为19.5个月(5~90个月),1、3、5年生存率分别为75.0%、33-3%及16.7%。40例非手术患者的中位生存期为14.5个月(2~73个月),1、3、5年生存率分别为62.5%、10.0%及5.0%。多因素分析显示,肿瘤长度、M分期是影响全组患者预后的独立因素(P〈0.05);肿瘤长度、M分期及化疗是影响放疗患者预后的独立因素(P〈0.05)。结论肿瘤长度、M分期是影响食管同时性多原发癌患者预后的独立因素,对非手术患者,联合放化疗似乎可带来牛存藕希. Objective To evaluate clinical characteristics and prognostic factors of synchronous multiple primary esophageal carcinomas (SMPEC). Methods Clinical data including sex, age, smoking history, regions, lymph node status, length of tumor, therapeutic methods and survival data of 52 patients with SMPEC were analyzed. The rates of OS depending on the different factors were calculated using the method of Kaplan-Meier analysis. Log-rank test was used for univariate survival analysis and Cox" s proportional hazards regression model was used for multivariate survival analysis. Results The 1-, 3-, 5-year OS rates and the median survival time (MST) were 65.4 %, 17.3 %, 7.7 % and 15.0 months for the whole cohort , 75.0 %, 33.3 %, 16.7 % and 19.5 months for the surgery subgroup, 62,5 %, 10.0 %, 5.0 % and 14.5 months for the 40 non-operative patients. Multivariate analysis of prognostic factors identified that tumor length and M stage were independent prognostic factors for the whole cohort, while tumor length, M stage and chemotherapy were independent prognostic factors for the radiotherapy subgroup patients. Conclusion The tumor length and M stage are independent prognostic factors for the SMPEC patients. Combined radiotherapy with chemotherapy seems to bring survival benefit and maybe a better management choice for unresectable and non-operative SMPEC.
作者 李梅 林志雄
出处 《肿瘤研究与临床》 CAS 2013年第6期382-384,392,共4页 Cancer Research and Clinic
关键词 食管肿瘤 多原发癌 生存分析 Esophageal neoplasms Multiple primary carcinoma Survival analysis
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