已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

The history and future of targeting cyclin-dependent kinases in cancer therapy

细胞周期蛋白依赖激酶 激酶 细胞周期 细胞周期蛋白 靶向治疗 癌症研究 癌症治疗 癌症 医学 生物 肿瘤科 细胞生物学 内科学
作者
Uzma Asghar,Agnieszka K. Witkiewicz,Nicholas C. Turner,Erik S. Knudsen
出处
期刊:Nature Reviews Drug Discovery [Nature Portfolio]
卷期号:14 (2): 130-146 被引量:1746
标识
DOI:10.1038/nrd4504
摘要

Components of the cell cycle machinery, such as the cyclin-dependent kinases (CDKs), have long been pursued as anticancer targets. Historically, the development of CDK inhibitors has been challenging, but recent developments, particularly in regard to inhibitors for CDK4 and CDK6, have shown promise. This Review presents an overview of the field and discusses agents in clinical development. Cancer represents a pathological manifestation of uncontrolled cell division; therefore, it has long been anticipated that our understanding of the basic principles of cell cycle control would result in effective cancer therapies. In particular, cyclin-dependent kinases (CDKs) that promote transition through the cell cycle were expected to be key therapeutic targets because many tumorigenic events ultimately drive proliferation by impinging on CDK4 or CDK6 complexes in the G1 phase of the cell cycle. Moreover, perturbations in chromosomal stability and aspects of S phase and G2/M control mediated by CDK2 and CDK1 are pivotal tumorigenic events. Translating this knowledge into successful clinical development of CDK inhibitors has historically been challenging, and numerous CDK inhibitors have demonstrated disappointing results in clinical trials. Here, we review the biology of CDKs, the rationale for therapeutically targeting discrete kinase complexes and historical clinical results of CDK inhibitors. We also discuss how CDK inhibitors with high selectivity (particularly for both CDK4 and CDK6), in combination with patient stratification, have resulted in more substantial clinical activity.
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
默幻弦完成签到,获得积分10
1秒前
盛乾衣完成签到,获得积分10
3秒前
4秒前
大力可燕发布了新的文献求助10
5秒前
5秒前
6秒前
7秒前
爆米花应助Martian采纳,获得10
8秒前
9秒前
Akim应助不是我采纳,获得20
9秒前
星之梦Nayo发布了新的文献求助10
10秒前
10秒前
初景发布了新的文献求助30
10秒前
10秒前
11秒前
阳溪发布了新的文献求助10
12秒前
Jeff完成签到,获得积分10
12秒前
随风沙ZYX发布了新的文献求助10
12秒前
无花果应助邵红侠采纳,获得10
13秒前
zhuyi_6695发布了新的文献求助10
16秒前
18秒前
上官若男应助大力可燕采纳,获得10
19秒前
19秒前
19秒前
阳溪完成签到,获得积分10
20秒前
20秒前
不理我发布了新的文献求助10
25秒前
羽羽完成签到 ,获得积分10
25秒前
大方的依琴完成签到,获得积分10
26秒前
blue2021发布了新的文献求助10
26秒前
26秒前
27秒前
27秒前
27秒前
深情安青应助HugginBearOuO采纳,获得10
28秒前
dyhhh发布了新的文献求助10
29秒前
LL给LL的求助进行了留言
30秒前
醉熏的如南完成签到,获得积分10
31秒前
年少丶发布了新的文献求助10
33秒前
34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
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
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 7391227
求助须知:如何正确求助?哪些是违规求助? 8997385
关于积分的说明 19148193
捐赠科研通 7027782
什么是DOI,文献DOI怎么找? 3229062
关于科研通互助平台的介绍 2391288
邀请新用户注册赠送积分活动 2210417