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Clinical Cancer Research Vol. 12, 2538-2544, April 15, 2006
© 2006 American Association for Cancer Research


Cancer Therapy: Clinical

Optimization of Patient Selection for Gefitinib in Non–Small Cell Lung Cancer by Combined Analysis of Epidermal Growth Factor Receptor Mutation, K-ras Mutation, and Akt Phosphorylation

Sae-Won Han1, Tae-You Kim1,3, Yoon Kyung Jeon2, Pil Gyu Hwang2, Seock-Ah Im1,3, Kyung-Hun Lee1, Jee Hyun Kim1, Dong-Wan Kim1,3, Dae Seog Heo1,3, Noe Kyeong Kim1, Doo Hyun Chung2 and Yung-Jue Bang1,3

Authors' Affiliations: Departments of 1 Internal Medicine and 2 Pathology, Seoul National University Hospital, and 3 Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea

Requests for reprints: Yung-Jue Bang, Department of Internal Medicine, Seoul National University College of Medicine, 28 Yongon-Dong, Chongno-Gu, Seoul, 110-744, Korea. Phone: 82-2-2072-2390; Fax: 82-2-762-9662; E-mail: bangyj{at}plaza.snu.ac.kr.

Purpose: Mutations in epidermal growth factor receptor (EGFR) are strongly predictive of gefitinib efficacy in non–small-cell lung cancer. However, the presence of EGFR mutant nonresponses and nonmutant responses points out the need for more comprehensive analysis.

Patients and Methods: For 69 non–small-cell lung cancer patients treated with gefitinib, we have extended our analysis to EGFR gene copy number by fluorescence in situ hybridization, mutations in K-ras, HER2, and exon 20 of EGFR by direct sequencing, and phosphatase and tensin homologue expression by immunohistochemistry, in addition to EGFR exons 18, 19, and 21, and phosphorylations of Akt and extracellular signal–regulated kinase reported previously.

Results: EGFR mutation and high gene copy number were associated with better objective response in univariate analysis. However, only gefitinib-sensitive EGFR mutation was independently predictive of both response (P = 0.011) and survival (P = 0.002) in multivariate analysis. No patients with K-ras mutation, including two EGFR mutants, showed response. In EGFR nonmutants, patients with either K-ras mutation or p-Akt overexpression exhibited poor response and time-to-progression whereas patients with high gene copy number tended to have better outcomes in univariate analysis. In multivariate analysis of time-to-progression in EGFR nonmutants, K-ras mutation or p-Akt overexpression was associated with shorter time-to-progression (P = 0.017). No patient with HER2 mutation showed response to gefitinib. Reduced phosphatase and tensin homologue expression was not associated with gefitinib sensitivity.

Conclusion: Gefitinib-sensitive EGFR mutation is the single most important predictor of gefitinib sensitivity. In addition to EGFR mutation, K-ras mutation and Akt phosphorylation aid in better prediction of gefitinib responsiveness in non–small-cell lung cancer.




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Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
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