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Association ofKRASandEGFRmutations with survival in patients with advanced lung adenocarcinomas

Authors :
Marc Ladanyi
William Pao
Mark G. Kris
Jamie E. Chaft
Melissa Lynne Johnson
Camelia S. Sima
Gregory J. Riely
Paul K. Paik
Source :
Cancer. 119:356-362
Publication Year :
2012
Publisher :
Wiley, 2012.

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 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.

Details

ISSN :
0008543X
Volume :
119
Database :
OpenAIRE
Journal :
Cancer
Accession number :
edsair.doi...........c9dfc7edd9416c540d46b4b61a3b6112