Novel Highly Potent c-Met Degraders against a Broad Range of Cancers

化学 癌症研究 药理学 癌症 癌细胞 表皮生长因子受体 IC50型 细胞生长 受体 体外 生物化学 内科学 生物 医学
作者
Changkai Jia,Pengli Wei,Shiyang Sun,Yaqiu Mao,Ting Wei,Zhenze Qi,Fan Feng,Yalei Wang,Cai Xu,Zhiyuan Zhao,Bingkun Li,Min Qiao,Yaxin Zou,Ziyun Zhang,Tingting Yang,Xiaomei Zhuang,Junhai Xiao,Xuesong Feng,Pengyun Li,Zhibing Zheng
出处
期刊:Journal of Medicinal Chemistry [American Chemical Society]
卷期号:68 (14): 15176-15197
标识
DOI:10.1021/acs.jmedchem.5c01470
摘要

The cellular-mesenchymal epithelial transition factor (c-Met) is an attractive target in multiple cancers. Despite various c-Met inhibitors having been developed, the acquired drug resistance hampers their clinical application. In this study, through elaborately rational optimization, c-Met degraders, namely, D19, D26, and G4, were developed to exhibit single-digit nanomolar cell growth inhibition IC 50 values, picomolar c-Met degradation DC 50 values, and >99% of maximum degradation in cancer cells with MET alterations via a Cullin-CRBN-dependent pathway. Moreover, D19 and G4 showed favorable pharmacokinetic properties and their oral administration induced complete EBC-1 xenograft tumor inhibition. Notably, D19 and G4 achieved nanomolar inhibitory activity and degradation efficacy against tepotinib-resistant cancer cells harboring c-Met D1228N and c-Met Y1230H mutations. Furthermore, the synergetic effects of D19 with epidermal growth factor receptor/HER2, vascular endothelial growth factor receptor, and BRAF inhibitors were shown in inhibiting various types of tumor cells. Overall, this study demonstrates that D19 and G4 serve as promising candidates for the treatment of MET -driven cancers.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
科研通AI6.4应助hdc12138采纳,获得10
1秒前
1秒前
隐形曼青应助闪闪花生采纳,获得10
1秒前
WYK完成签到 ,获得积分10
1秒前
Luyz完成签到,获得积分10
2秒前
健忘的之瑶完成签到,获得积分10
2秒前
Owen应助onlyone采纳,获得10
3秒前
4秒前
冷傲元枫完成签到,获得积分10
5秒前
东方元语应助毗昙采纳,获得20
5秒前
大模型应助li采纳,获得10
5秒前
6秒前
山猫发布了新的文献求助10
7秒前
7秒前
9秒前
9秒前
曾经山兰完成签到,获得积分10
9秒前
852应助LMZ采纳,获得30
11秒前
研友_VZG7GZ应助老朱采纳,获得10
12秒前
hua发布了新的文献求助10
12秒前
12秒前
rrrr发布了新的文献求助10
13秒前
默默完成签到 ,获得积分10
14秒前
aajhajkahna应助as采纳,获得10
14秒前
Longfenzhong发布了新的文献求助10
15秒前
mt1314发布了新的文献求助10
17秒前
李爱国应助Luyz采纳,获得10
18秒前
迷路又菱完成签到,获得积分10
18秒前
金鑫发布了新的文献求助10
19秒前
小姜完成签到,获得积分10
20秒前
YKT完成签到,获得积分10
20秒前
丹D发布了新的文献求助10
21秒前
方既白完成签到,获得积分10
23秒前
23秒前
机灵的忆梅完成签到 ,获得积分0
23秒前
24秒前
科研通AI6.2应助hdc12138采纳,获得10
25秒前
26秒前
负责元瑶完成签到,获得积分10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7637743
求助须知:如何正确求助?哪些是违规求助? 9211300
关于积分的说明 19758409
捐赠科研通 7204937
什么是DOI,文献DOI怎么找? 3275767
关于科研通互助平台的介绍 2437385
邀请新用户注册赠送积分活动 2272928