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Development of personalized treatments in lung cancer: focusing on the EGFR mutations and beyond

Authors Suda K, Mitsudomi T

Received 7 June 2013

Accepted for publication 1 July 2013

Published 15 August 2013 Volume 2013:4 Pages 43—53


Checked for plagiarism Yes

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Peer reviewer comments 3

Kenichi Suda,1,2 Tetsuya Mitsudomi1

1Division of Thoracic Surgery, Department of Surgery, Kinki University Faculty of Medicine, Osaka-Sayama, Japan; 2Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan

Abstract: Lung cancers with epidermal growth factor receptor (EGFR) gene mutation account for ~40% of adenocarcinoma in East Asians and ~15% of that in Caucasians, which makes them one of the most common molecularly defined lung cancer subsets. The role of EGFR mutation as a strong predictive biomarker of response to EGFR-tyrosine kinase inhibitors (TKIs) was finally confirmed by the biomarker analysis of Iressa Pan-Asian Study (IPASS). Since the 2004 discovery of EGFR mutation in lung cancer, the EGFR mutation and EGFR-TKI treatment have been widely studied. These include characteristics of lung cancers with EGFR mutations; clinical efficacies and adverse effects of EGFR-TKIs in patients with EGFR-mutated lung cancers; development of novel EGFR-TKIs that may prolong progression-free survival of these patients or overcome resistance to first-generation EGFR-TKIs (gefitinib and erlotinib); optimal treatment schedules for EGFR-TKIs to delay emergence of resistance; molecular mechanisms of acquired resistance to EGFR-TKIs; treatment strategies after patients acquire resistance to EGFR-TKIs; and predictive biomarkers for EGFR-TKIs among patients with EGFR-mutated lung cancers. Some of these results are widely accepted, while others are apparent only in cell line models, preclinical animal models, or retrospective analyses (and sometimes conflict with each other). In this review, we summarize accumulated reports from the past decade, especially focusing on unanswered but important clinical questions in treating patients with EGFR-mutated lung cancers.

Keywords: epidermal growth factor receptor mutation, predictive biomarkers, personalized therapy, molecular target, adjuvant therapy, acquired resistance

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