Association of KRAS and EGFR mutations with survival in patients with advanced lung adenocarcinomas

KRAS和EGFR突变与晚期肺腺癌患者生存率的关系

阅读:1

Abstract

BACKGROUND: Lung adenocarcinomas can be distinguished by identifying mutated driver oncogenes, including epidermal growth factor receptor (EGFR) and KRAS. Mutations in EGFR are associated with both improved survival as well as response to treatment with erlotinib and gefitinib. However, the prognostic significance of KRAS has not been evaluated in large numbers of patients and remains controversial. For the current report, the authors examined the association of EGFR and KRAS mutations with survival among patients with advanced lung adenocarcinomas. METHODS: Data were analyzed from patients with advanced lung adenocarcinomas who had known EGFR and KRAS mutation status evaluated between 2002 and 2009. The collected clinical variables included age, sex, Karnofsky performance status, smoking history, and treatment history. Overall survival from the diagnosis of advanced disease was analyzed using Kaplan-Meier and Cox proportional hazard methods. RESULTS: In total, 1036 patients were evaluated, including 610 women (59%) and 344 never-smokers (33%). The median patient age was 65 years (range, 25-92 years), and the majority of patients (81%) had a Karnofsky performance status ≥80%. In multivariate analysis, EGFR mutations were associated with longer overall survival (hazard ratio, 0.6; P < .001), and KRAS mutations were associated with shorter survival (hazard ratio, 1.21; P = .048). CONCLUSIONS: KRAS mutations predicted shorter survival for patients with advanced lung adenocarcinomas. The presence of EGFR and KRAS mutations define distinct subsets of patients with lung adenocarcinomas and should be determined in patients when they are diagnosed with advanced disease. Clinical trial reports should include EGFR and KRAS mutation status along with other prognostic factors.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。