李洪胜, 王远东, 刘健雄, 邵中夫, 甘岫云, 陈贵全. EGFR与HER2对非小细胞肺癌的预后观察[J]. 中国肿瘤临床, 2004, 31(23): 1354-1357.
引用本文: 李洪胜, 王远东, 刘健雄, 邵中夫, 甘岫云, 陈贵全. EGFR与HER2对非小细胞肺癌的预后观察[J]. 中国肿瘤临床, 2004, 31(23): 1354-1357.
shu
Li Hongsheng, Wang Yuandong, Liu Jianxiong, . The Prognostic Study on Non-small Cell Lung Cancer by EGFR、 HER2 Combining with Clinical Pathology[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2004, 31(23): 1354-1357.
Citation: Li Hongsheng, Wang Yuandong, Liu Jianxiong, . The Prognostic Study on Non-small Cell Lung Cancer by EGFR、 HER2 Combining with Clinical Pathology[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2004, 31(23): 1354-1357.
shu

EGFR与HER2对非小细胞肺癌的预后观察

The Prognostic Study on Non-small Cell Lung Cancer by EGFR、 HER2 Combining with Clinical Pathology

    摘要
  • 摘要: 目的:探讨传统的非小细胞肺癌预后因素与表皮生长因子等生物学新预后因素结合对非小细胞肺癌的预后作用。方法:复习116例非小细胞肺癌手术病例临床病理资料及随访资料,观察常规HE染色切片判断血管浸润及淋巴管浸润,用免疫组化法测定病灶的EGFR、HER2的表达,再用Cox模型进行生存分析。结果:NSCLC组EGFR、HER2、BVI、LVI的阳性表达率分别为42.24%、43.10%、44.83%、31.90%。BVI阴、阳性组术后生存期比较<.P=0.006,无瘤生存期比较P=0.001;LVI阴、阳性组术后生存期、无瘤生存期比较P分别为0.239和0.048;EGFR阴、阳性组术后生存期、无瘤生存期比较P分别为0.117及0.217;HER2阴、阳性组术后生存期、无瘤生存期比较P分别为0.073和0.053。进入影响生存期多因素模型的为N分期、HER2、TNM分期及手术方式(P分别为0.006、0.01、0.019和0.022)。结论:13项临床病理和生物因素结合起来进行多变量Cox回归分析,影响生存期的因素为:N分期、HER2、TNM分期及手术方式。影响无瘤生存期的因素为:BVI、TNM分期和N分期。

     

    Abstract: Objective: To study the prognostic value of EGFR, HER2 combining with clinical pathology on non-small cell lung cancer. Methods： Review the clinical and pathological materials of 116 non-small cell lung cancer cases after operation and the follow-up materials. Check the expression of EGFR and HER2 for their specimen by means of immunohistochemistry. At last perform the survival analysis with Cox model. Results： The positive expression rates of EGFR, HER2, BYI, LYI are 42.24%, 43.10%, 44.83%, 31.90%, respectively. In comparison with the life cycle after surgery for BYI, p=0.006, for the disease-free survival after surgery, p=0.001; for LYI, p=0.239 and 0.048; for EGFR, p=0.117 and 0.217; for HER2, p=0.073 and 0.053. With cox regression, it is known that the factors which influence the life cycles are LNM, TNM, HER2 and surgical types ( P is 0.006, 0.01, 0.019 and 0.022, respectively). The factors which influence the disease-free survival are TNM, LNM and BYI ( P is 0.002, 0.006, 0.0064 respectively). Conclusion: With 13 pathological and clinical factors, the Cox regression shows that the factors which influence life cycle are: LNM, HER2, TNM and surgical operation. The factors influencing disease-free survival are BYI, TNM and LNM.

     

    • HTML全文
    • 参考文献(1)
    • 相关文章
    • 施引文献
  • 资源附件(0)

/

返回文章
返回