Epidermal growth factor receptor gene mutations and increased copy numbers predict gefitinib sensitivity in patients with recurrent non-small-cell lung cancer
- PMID: 15998907
- DOI: 10.1200/JCO.2005.01.0793
Epidermal growth factor receptor gene mutations and increased copy numbers predict gefitinib sensitivity in patients with recurrent non-small-cell lung cancer
Abstract
Purpose: To evaluate epidermal growth factor receptor (EGFR) mutations and copy number as predictors of clinical outcome in patients with non-small-cell lung cancer (NSCLC) receiving gefitinib.
Patients and methods: Sixty-six patients with NSCLC who experienced relapse after surgery and received gefitinib were included. Direct sequencing of exons 18 to 24 of EGFR and exons 18 to 24 of ERBB2 was performed using DNA extracted from surgical specimens. Pyrosequencing and quantitative real-time polymerase chain reaction were performed to analyze the allelic pattern and copy number of EGFR.
Results: Thirty-nine patients (59%) had EGFR mutations; 20 patients had deletional mutations in exon 19, 17 patients had missense mutations (L858R) in exon 21, and two patients had missense mutations (G719S or G719C) in exon 18. No mutations were identified in ERBB2. Response rate (82% [32 of 39 patients] v 11% [three of 27 patients]; P < .0001), time to progression (TTP; median, 12.6 v 1.7 months; P < .0001), and overall survival (median, 20.4 v 6.9 months; P = .0001) were significantly better in patients with EGFR mutations than in patients with wild-type EGFR. Increased EGFR copy numbers (> or = 3/cell) were observed in 29 patients (44%) and were significantly associated with a higher response rate (72% [21 of 29 patients] v 38% [14 of 37 patients]; P = .005) and a longer TTP (median, 9.4 v 2.6 months; P = .038). High EGFR copy numbers (> or = 6/cell) were caused by selective amplification of mutant alleles.
Conclusion: EGFR mutations and increased copy numbers were significantly associated with better clinical outcome in gefitinib-treated NSCLC patients.
Comment in
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Selecting patients for epidermal growth factor receptor inhibitor treatment: A FISH story or a tale of mutations?J Clin Oncol. 2005 Oct 1;23(28):6813-6. doi: 10.1200/JCO.2005.97.008. Epub 2005 Sep 6. J Clin Oncol. 2005. PMID: 16145056 No abstract available.
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Unraveling the mystery of prognostic and predictive factors in epidermal growth factor receptor therapy.J Clin Oncol. 2006 Mar 1;24(7):1219-20; author reply 1220-1. doi: 10.1200/JCO.2005.04.4420. J Clin Oncol. 2006. PMID: 16505443 No abstract available.
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