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48例肺癌肉瘤临床特征及预后分析
引用本文:徐清华,周彩存,倪健,周崧雯,姜格宁,丁嘉安.48例肺癌肉瘤临床特征及预后分析[J].中国肺癌杂志,2007,10(2):148-151.
作者姓名:徐清华  周彩存  倪健  周崧雯  姜格宁  丁嘉安
作者单位:1. 200433,上海市肺科医院肿瘤科
2. 200433,上海市肺科医院胸外科
摘    要:背景与目的 肺癌肉瘤在肺部恶性肿瘤中较为罕见。本研究的目的是探讨肺癌肉瘤的临床特征及其预后因素。方法 回顾性分析1986~2004年间收治的48例肺癌肉瘤患者的临床特征,并对影响预后的因素进行统计学分析。结果 肺癌肉瘤好发于50岁以上中老年人,多发于右肺,临床特征及胸部X线表现与原发性肺癌相近,极易误诊,手术病理切片检查是主要的确诊方法。本组患者的1年生存率为77.1%,3年生存率为49.5%,5年生存率为22.7%。χ^2检验及多因素回归分析均显示,肿瘤的TNM分期是影响预后的独立因素。结论 肺癌肉瘤TNM分期是独立的预后因素,早期手术可以延长患者的生存时间。

关 键 词:肺癌肉瘤  临床特征  治疗  预后
修稿时间:2006-07-17

Clinical characteristics and prognosis analysis of pulmonary carcinosarcoma (a report of 48 cases)
XU Qinghua,ZHOU Caicun,NI Jian,ZHOU Songwen,JIANG Gening,DING Jiaan.Clinical characteristics and prognosis analysis of pulmonary carcinosarcoma (a report of 48 cases)[J].Chinese Journal of Lung Cancer,2007,10(2):148-151.
Authors:XU Qinghua  ZHOU Caicun  NI Jian  ZHOU Songwen  JIANG Gening  DING Jiaan
Affiliation:Department of Oncology , Shanghai Pulmonary Hospital, Shanghai 200433, P.R. China
Abstract:Background and objective Pulmonary carcinosarcoma (PCS) is a rare pulmonary mixed malignant tumor. The aim of this study is to explore the clinical characteristics and prognosis of 48 patients with PCS. Methods The data of 48 patients with PCS from 1986 to 2004 were analysed retrospectively. Then their prognostic factors were analysed statistically. Results PCS occurred usually in males over 50 years old, often in the right lungs. The clinical and radiographic characteristics of PCS were similar to primary non-small cell lung cancer. Its diagnosis was mainly verified by postoperative pathologic findings and immunohistochemical staining. The 1-, 3- and 5-year survival rate was 77.1%, 49.5% and 22.7% respectively. The multivariate prognosis analysis and Chi-square test showed that TNM stage was an independent prognostic factor. Conclusion TNM stage is an independent prognostic factor for PCS, so it is necessary to operate surgically in early stage to prolong the survival time of patients.
Keywords:Pulmonary carcinosarcoma (PCS) Clinical characteristic Treatment Prognosis
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