Discovery of highly potent and selective KRASG12C degraders by VHL-recruiting PROTACs for the treatment of tumors with KRASG12C-Mutation

化学 药理学 癌症研究 医学
作者
Ning Yang,Zhiya Fan,Shiyang Sun,Xiaotong Hu,Yaqiu Mao,Changkai Jia,Xu Cai,Tingting Xu,Bingkun Li,Yi Li,Luobing Han,Ting Wei,Xiaohong Qian,Weijie Qin,Pengyun Li,Zhibing Zheng,Song Li
出处
期刊:European journal of medicinal chemistry [Elsevier]
卷期号:261: 115857-115857 被引量:10
标识
DOI:10.1016/j.ejmech.2023.115857
摘要

Although several covalent KRASG12C inhibitors have made great progress in the treatment of KRASG12C-mutant cancer, their clinical applications are limited by adaptive resistance, motivating novel therapeutic strategies. Through drug design and structure optimization, a series of highly potent and selective KRASG12C Proteolysis Targeting Chimeras (PROTACs) were developed by incorporating AMG510 and VHL ligand VH032. Among them, degrader YN14 significantly inhibited KRASG12C-dependent cancer cells growth with nanomolar IC50 and DC50 values, and > 95 % maximum degradation (Dmax). Molecular dynamics (MD) simulation showed that YN14 induced a stable KRASG12C: YN14: VHL ternary complex with low binding free energy (ΔG). Notably, YN14 led to tumor regression with tumor growth inhibition (TGI%) rates more than 100 % in the MIA PaCa-2 xenograft model with well-tolerated dose-schedules. We also found that KRASG12C degradation exhibited advantages in overcoming adaptive KRASG12C feedback resistance over KRASG12C inhibition. Furthermore, combination of RTKs, SHP2, or CDK9 inhibitors with YN14 exhibited synergetic efficacy in KRASG12C-mutant cancer cells. Overall, these results demonstrated that YN14 holds exciting prospects for the treatment of tumors with KRASG12C-mutation and boosted efficacy could be achieved for greater clinical applications via drug combination.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
卧室嫩叠完成签到,获得积分10
1秒前
Yuzuru_gyq完成签到 ,获得积分10
1秒前
墨白发布了新的文献求助10
1秒前
陙兂发布了新的文献求助10
1秒前
2秒前
红晕发布了新的文献求助10
2秒前
利昂发布了新的文献求助10
2秒前
结实大白完成签到,获得积分10
3秒前
漠北完成签到,获得积分10
3秒前
3秒前
3秒前
璇222发布了新的文献求助10
3秒前
4秒前
4秒前
lvbowen发布了新的文献求助10
4秒前
顺利洋葱发布了新的文献求助10
5秒前
5秒前
爱杨紫的土豆子完成签到,获得积分10
5秒前
奋斗的觅山完成签到,获得积分10
6秒前
小花发布了新的文献求助10
6秒前
zlzhang完成签到,获得积分10
6秒前
6秒前
7秒前
斯文败类应助璇222采纳,获得10
7秒前
7秒前
7秒前
7秒前
8秒前
Leeeee发布了新的文献求助10
8秒前
dt发布了新的文献求助30
9秒前
9秒前
陙兂完成签到,获得积分10
9秒前
蒋时晏应助念念采纳,获得20
10秒前
Jasper应助12334采纳,获得10
10秒前
海韵_Tom发布了新的文献求助10
10秒前
丘比特应助满意小馒头采纳,获得10
11秒前
phil发布了新的文献求助10
11秒前
红晕完成签到,获得积分20
11秒前
ste56发布了新的文献求助10
12秒前
12秒前
高分求助中
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
Evolution 1500
How to Create Beauty: De Lairesse on the Theory and Practice of Making Art 1000
Gerard de Lairesse : an artist between stage and studio 670
CLSI EP47 Evaluation of Reagent Carryover Effects on Test Results, 1st Edition 550
Multiscale Thermo-Hydro-Mechanics of Frozen Soil: Numerical Frameworks and Constitutive Models 500
Sport, Music, Identities 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2987267
求助须知:如何正确求助?哪些是违规求助? 2648400
关于积分的说明 7154884
捐赠科研通 2282195
什么是DOI,文献DOI怎么找? 1210193
版权声明 592429
科研通“疑难数据库(出版商)”最低求助积分说明 591004