Suppr超能文献

小分子表皮生长因子受体(EGFR)抑制剂针对非小细胞肺癌中T790M介导的耐药性的开发面临的挑战与前景

Challenges and Perspectives on the Development of Small-Molecule EGFR Inhibitors against T790M-Mediated Resistance in Non-Small-Cell Lung Cancer.

作者信息

Song Zhendong, Ge Yang, Wang Changyuan, Huang Shanshan, Shu Xiaohong, Liu Kexin, Zhou Youwen, Ma Xiaodong

机构信息

College of Pharmacy, Dalian Medical University , Dalian 116044, P. R. China.

Department of Dermatology and Skin Science, University of British Columbia , Vancouver, BC, V5Z 4E8, Canada.

出版信息

J Med Chem. 2016 Jul 28;59(14):6580-94. doi: 10.1021/acs.jmedchem.5b00840. Epub 2016 Feb 26.

Abstract

Because of the development of drug-resistance mutations, particularly the "gatekeeper" threonine(790)-to-methionine(790) (T790M) mutation in the ATP-binding pocket of the epidermal growth factor receptor (EGFR), the current generation of EGFR tyrosine kinase inhibitors lost their clinical efficacy. Recently, a large number of small-molecule inhibitors with striking inhibitory potency against EGFR mutants with the T790M change have been identified. In particular, the inhibitors rociletinib and osimertinib, which can selectively target both sensitizing mutations and the T790M resistance while sparing the wild-type (WT) form of the receptor, have been designated as breakthrough therapies in the treatment of mutant non-small-cell lung cancer (NSCLC) by the U.S. FDA in 2014. We hope that this review on the small-molecule EGFR T790M inhibitors, along with their discovery strategies, will assist in the design of future T790M-containing EGFR inhibitors with high levels of selectivity over WT EGFR, broad kinase selectivity, and desirable physicochemical properties.

摘要

由于耐药性突变的出现,尤其是表皮生长因子受体(EGFR)的ATP结合口袋中的“守门人”苏氨酸(790)到甲硫氨酸(790)(T790M)突变,当前一代的EGFR酪氨酸激酶抑制剂失去了临床疗效。最近,已经鉴定出大量对具有T790M变化的EGFR突变体具有显著抑制效力的小分子抑制剂。特别是,抑制剂罗西替尼和奥希替尼能够选择性地靶向敏感突变和T790M耐药性,同时保留受体的野生型(WT)形式,于2014年被美国食品药品监督管理局(FDA)指定为治疗突变型非小细胞肺癌(NSCLC)的突破性疗法。我们希望这篇关于小分子EGFR T790M抑制剂及其发现策略的综述,将有助于设计未来对野生型EGFR具有高选择性、广泛激酶选择性和理想物理化学性质的含T790M的EGFR抑制剂。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验