亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Recent advances in c-Met-based dual inhibitors in the treatment of cancers

化学 C-Met公司 信号转导 受体酪氨酸激酶 酪氨酸激酶 癌症 癌基因 激酶 癌症研究 细胞凋亡 受体 细胞周期 生物化学 肝细胞生长因子 遗传学 生物
作者
Fanqi Jin,Yi‐Han Lin,Yuan Weidong,Shuang Wu,Min Yang,Shi Ding,Ju Liu,Ye Chen
出处
期刊:European journal of medicinal chemistry [Elsevier]
卷期号:272: 116477-116477 被引量:6
标识
DOI:10.1016/j.ejmech.2024.116477
摘要

The cellular-mesenchymal epithelial transition factor (c-Met) is a receptor tyrosine kinase (RTK) located on the 7q31 locus encoding the Met proto-oncogene and plays a critical role in regulating cell proliferation, metastasis, differentiation, and apoptosis through various signaling pathways. However, its aberrant activation and overexpression have been implicated in many human cancers. Therefore, c-Met is a promising target for cancer treatment. However, the anticancer effect of selective single-targeted drugs is limited due to the complexity of the signaling system and the involvement of different proteins and enzymes. After inhibiting one pathway, signal molecules can be transmitted through other pathways, resulting in poor efficacy of single-targeted drug therapy. Dual inhibitors that simultaneously block c-Met and another factor can significantly improve efficacy and overcome some of the shortcomings of single-target inhibitors, including drug resistance. In this review, We introduced c-Met kinase and the synergism between c-Met and other anti-tumor targets, then dual-target inhibitors based on c-Met for the treatment of cancers were summarized and their design concepts and structure-activity relationships (SARs) were discussed elaborately, providing a valuable insight for the further development of novel c-Met-based dual inhibitors.
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
2秒前
刘斌发布了新的文献求助10
3秒前
充电宝应助优美凡双采纳,获得10
3秒前
深情安青应助科研通管家采纳,获得10
5秒前
Ava应助科研通管家采纳,获得10
5秒前
专注凌文发布了新的文献求助10
8秒前
9秒前
mkljl完成签到 ,获得积分10
10秒前
ppppppp_76完成签到 ,获得积分10
10秒前
爆米花应助韵寒采纳,获得10
11秒前
小二郎应助Yang采纳,获得10
11秒前
某某某发布了新的文献求助10
12秒前
栀初完成签到,获得积分20
13秒前
14秒前
17秒前
111发布了新的文献求助10
18秒前
义气白开水完成签到,获得积分10
21秒前
21秒前
21秒前
刘斌完成签到,获得积分10
22秒前
25秒前
iiomee完成签到 ,获得积分10
26秒前
骆十八发布了新的文献求助30
26秒前
可爱的函函应助某某某采纳,获得10
27秒前
随性完成签到 ,获得积分10
28秒前
111关闭了111文献求助
30秒前
flipped发布了新的文献求助10
32秒前
flipped完成签到,获得积分10
39秒前
完美世界应助骆十八采纳,获得30
40秒前
太清完成签到,获得积分10
42秒前
机灵哲瀚完成签到,获得积分10
42秒前
椒盐柠檬茶完成签到,获得积分20
43秒前
xh-notes发布了新的文献求助20
45秒前
52秒前
52秒前
53秒前
56秒前
58秒前
1分钟前
xiaoyu发布了新的文献求助10
1分钟前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
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 3307263
求助须知:如何正确求助?哪些是违规求助? 2940978
关于积分的说明 8500011
捐赠科研通 2615243
什么是DOI,文献DOI怎么找? 1428784
科研通“疑难数据库(出版商)”最低求助积分说明 663542
邀请新用户注册赠送积分活动 648382