In:
Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. 516-516
Abstract:
Since transforming mutations in epidermal growth factor receptor gene (EGFR) were first identified in non-small-cell lung carcinoma (NSCLC), advancement of diagnostics for such mutations, and evolution of targeted therapeutics against EGFR has driven unprecedented improvements in the management as well as outcome of patients with this lethal disease. However, next-generation sequencer (NGS)-driven extensive analyses on NSCLC have revealed a large number of variants of uncertain significance (VUS) in EGFR and other regions in the cancer genome that await further investigation. Here we present a mixed all nominated mutants in one (MANO) method to evaluate the transforming potential and drug sensitivity of VUS of oncogenes, and applied this method to 101 non-synonymous EGFR mutants in a high-throughput manner. The sensitivity of individual mutants to tyrosine kinase inhibitors (TKIs) against EGFR was shown diverged, ranging from relatively insensitive mutations such as missense mutations within exon 19 to a highly resistant mutation within exon 21. Our data thus support the importance of examining uncommon mutations within EGFR, and also of functional evaluation of such mutations. Our MANO method may become a novel foundation for in vitro and in vivo assessments of variants of cancer-related genes to deliver precision medicine to individual cancer patients. Citation Format: Shinji Kohsaka, Masaaki Nagano, Toshihide Ueno, Yoshiyuki Suehara, Takuo Hayashi, Naoko Shimada, Kazuhisa Takahashi, Kenji Suzuki, Kazuya Takamochi, Fumiyuki Takahashi, Hiroyuki Mano. High-throughput functional evaluation of variants of unknown significance in EGFR [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 516. doi:10.1158/1538-7445.AM2017-516
Type of Medium:
Online Resource
ISSN:
0008-5472
,
1538-7445
DOI:
10.1158/1538-7445.AM2017-516
Language:
English
Publisher:
American Association for Cancer Research (AACR)
Publication Date:
2017
detail.hit.zdb_id:
2036785-5
detail.hit.zdb_id:
1432-1
detail.hit.zdb_id:
410466-3
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