Relative Abundance of EGFR Mutations Predicts Benefit From Gefitinib Treatment for Advanced Non–Small-Cell Lung Cancer

吉非替尼 医学 肺癌 表皮生长因子受体 内科学 肿瘤科 突变 癌症研究 野生型 癌症 生物 基因 遗传学 突变体
作者
Qing Zhou,Xu‐Chao Zhang,Zhihong Chen,Xiaolu Yin,Jin‐Ji Yang,Chong‐Rui Xu,Hong‐Hong Yan,Hua‐Jun Chen,Jian Su,Wen‐Zhao Zhong,Xue‐Ning Yang,Shejuan An,Bin-Chao Wang,Yi-Sheng Huang,Zhen Wang,Yi‐Long Wu
出处
期刊:Journal of Clinical Oncology [Lippincott Williams & Wilkins]
卷期号:29 (24): 3316-3321 被引量:240
标识
DOI:10.1200/jco.2010.33.3757
摘要

Purpose Our aim was to determine whether abundance of epidermal growth factor receptor (EGFR) mutations in tumors predicts benefit from treatment with EGFR–tyrosine kinase inhibitors (TKIs) for advanced non–small-cell lung cancer (NSCLC). Patients and Methods We detected EGFR mutations in 100 lung cancer samples using direct DNA sequencing and amplification refractory mutation system (ARMS). Mutation-positive tumors by both methods carried high abundance of EGFR mutations. Tumors that were mutation positive by ARMS but mutation negative by direct DNA sequencing harbored low abundance of EGFR mutations. Mutation-negative tumors by both methods carried wild-type EGFR. All patients received gefitinib treatment. The correlation between EGFR mutation abundance and clinical benefit from gefitinib treatment was analyzed. Results Of 100 samples, 51 and 18 harbored high and low abundances of EGFR mutations, respectively; 31 carried wild-type EGFR. Median progression-free survival (PFS) was 11.3 (95% CI, 7.4 to 15.2) and 6.9 months (95% CI, 5.5 to 8.4) in patients with high and low abundances of EGFR mutations, respectively (P = .014). Median PFS of patients with low abundance of EGFR mutations was significantly longer than that of those with wild-type tumors (2.1 months; 95% CI, 1.0 to 3.2; P = .010). Objective response rates (ORRs) were 62.7%, 44.4%, and 16.1%, and overall survival (OS) rates were 15.9 (95% CI, 13.4 to 18.3), 10.9 (95% CI, 2.7 to 19.1), and 8.7 months (95% CI, 4.6 to 12.7) for patients with high abundance of EGFR mutations, low abundance of EGFR mutations, and wild-type EGFR, respectively. The difference between patients with high and low abundances of EGFR mutations was not significant regarding ORR and OS. Conclusion The relative EGFR mutation abundance could predict benefit from EGFR-TKI treatment for advanced NSCLC.
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