Detection of Oncogenic Mutations in the EGFR Gene in Lung Adenocarcinoma with Differential Sensitivity to EGFR Tyrosine Kinase Inhibitors
Author(s) -
Reji Koshy Thomas,
Heidi Greulich,
Youki Yuza,
Janice Lee,
Torstein Tengs,
William W. Feng,
TaoHsing Chen,
Elizabeth Nickerson,
J Simons,
Michael D. Miller,
Jonathan M. Rothberg,
William R. Sellers,
Matthew Meyerson
Publication year - 2005
Publication title -
cold spring harbor symposia on quantitative biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.615
H-Index - 77
eISSN - 1943-4456
pISSN - 0091-7451
DOI - 10.1101/sqb.2005.70.056
Subject(s) - tyrosine kinase , cancer research , adenocarcinoma , gene , lung cancer , protein tyrosine kinases , receptor tyrosine kinase , mutation , gefitinib , kinase , biology , chemistry , epidermal growth factor receptor , medicine , cancer , signal transduction , genetics , oncology
The complete sequencing of the human genome and the development of molecularly targeted cancer therapy have promoted efforts to identify systematically the genetic alterations in human cancer. By high-throughput sequencing of tyrosine kinase genes in human non-small-cell lung cancer, we identified somatic mutations in the kinase domain of the epidermal growth factor receptor tyrosine kinase gene (EGFR) that are correlated with clinical response to EGFR tyrosine kinase inhibitors (TKIs). We have shown that these mutant forms of EGFR induce oncogenic transformation in different cellular systems. Cells whose growth depends on EGFR with mutations in exons 19 and 21 are sensitive to EGFR-TKIs, whereas cells expressing insertion mutations in exon 20 or the T790M point mutant, found in tumor biopsies from patients that relapsed after an initial response to EGFR-TKIs, are resistant. Furthermore, by applying a novel, massively parallel sequencing technology, we have shown that clinically relevant oncogene mutations can be detected in clinical specimens with very low tumor content, thereby enabling optimal patient selection for mutation-directed therapy. In summary, by applying high-throughput genomic resequencing, we have identified a novel therapeutic target, mutant EGFR, in lung cancer and evaluated its role in predicting response to targeted therapy.
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