A new rapid method for detecting epidermal growth factor receptor mutations in non-small cell lung cancer

一种快速检测非小细胞肺癌表皮生长因子受体突变的新方法

阅读:6
作者:Miyako Takata, Hiroki Chikumi, Keiji Matsunami, Masahiro Kodani, Tomohiro Sakamoto, Kazuhiro Hashimoto, Masaki Nakamoto, Kensaku Okada, Tsuyoshi Kitaura, Shingo Matsumoto, Jun Kurai, Akira Yamasaki, Tadashi Igishi, Naoto Burioka, Eiji Shimizu

Abstract

Mutations in the epidermal growth factor receptor (EGFR) gene are associated with a favorable clinical response to the EGFR tyrosine kinase inhibitors gefitinib and erlotinib in non-small cell lung cancer (NSCLC). We present here, a new method for the rapid detection of the two most common EGFR mutations (delE746-A750 and L858R) from clinical samples. The methodology involves the combination of newly designed mutation-specific primers and a novel real-time PCR machine with an innovative thermo-control mechanism that enables ultrarapid PCR. We evaluated this method using a cell mixture composed of various ratios of lung cancer cells harboring mutated or wild-type EGFR, lung cancer tissues obtained by surgery, and a cytology sample obtained by bronchoscopy from a lung cancer patient. In the cell mixture analysis, our method detected 0.1% of cells with delE746-A750 and 1% of cells with L858R among cells with wild-type EGFR. In 143 lung cancer tissues, the result of this assay was concordant with those of direct sequencing in 138 samples. The five samples with discordant results were tested using a PCR-Invader assay and the result matched those of our method at 100%. We also successfully detected EGFR mutations in the lavage obtained from a lung cancer patient. The turnaround time for this method was <10 min, and all steps could be accomplished in <50 min after sample collection. Thus, our novel PCR method offers a rapid, simple, and less expensive test for EGFR mutations and can be applied as a point-of-care diagnostic test.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。