Mutations of the Epidermal Growth Factor Receptor Gene Predict Prolonged Survival After Gefitinib Treatment in Patients With Non–Small-Cell Lung Cancer With Postoperative Recurrence

Author:

Mitsudomi Tetsuya1,Kosaka Takayuki1,Endoh Hideki1,Horio Yoshitsugu1,Hida Toyoaki1,Mori Shoichi1,Hatooka Shunzo1,Shinoda Masayuki1,Takahashi Takashi1,Yatabe Yasushi1

Affiliation:

1. From the Departments of Thoracic Surgery, Thoracic Oncology, and Pathology and Molecular Diagnostics, Aichi Cancer Center Hospital; and Division of Molecular Oncology, Aichi Cancer Center Research Institute, Aichi Cancer Center, Nagoya, Japan

Abstract

Purpose To evaluate the relationship between mutations of the epidermal growth factor receptor (EGFR) gene and the effectiveness of gefitinib treatment in patients with recurrent lung cancer after pulmonary resection. Patients and Methods We sequenced exons 18-21 of the EGFR gene using total RNA extracted from 59 patients with lung cancer who were treated with gefitinib for recurrent lung cancer. Gefitinib effectiveness was evaluated by both imaging studies and change in serum carcinoembryonic antigen (CEA) levels. Results EGFR mutations were found in 33 patients (56%). Of these mutations, 17 were deletions around codons 746-750 and 15 were point mutations (12 at codon 858, three at other codons), and one was an insertion. EGFR mutations were significantly more prevalent in females, adenocarcinoma, and never-smokers. Gefitinib treatment resulted in tumor shrinkage and/or CEA decrease to less than half of the baseline level in 26 patients, tumor growth and/or CEA elevation in 24 patients, and gefitinib effect was not assessable in nine patients. Female, never-smoking patients with adenocarcinoma tended to respond better to gefitinib treatment. Gefitinib was effective in 24 of 29 patients with EGFR mutations, compared with two of 21 patients without mutations (P < .0001). Of note, del746-750 might be superior to L858R mutations for prediction of gefitinib response. Patients with EGFR mutations survived for a longer period than those without the mutations after initiation of gefitinib treatment (P = .0053). Conclusion EGFR mutations were a good predictor of clinical benefit of gefitinib in this setting.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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