Drugging p53 in cancer: one protein, many targets

可药性 药物发现 药物开发 癌症 计算生物学 生物信息学 医学 药品 生物 癌症研究 基因 药理学 遗传学
作者
Ori Hassin,Moshe Oren
出处
期刊:Nature Reviews Drug Discovery [Nature Portfolio]
卷期号:22 (2): 127-144 被引量:401
标识
DOI:10.1038/s41573-022-00571-8
摘要

Mutations in the TP53 tumour suppressor gene are very frequent in cancer, and attempts to restore the functionality of p53 in tumours as a therapeutic strategy began decades ago. However, very few of these drug development programmes have reached late-stage clinical trials, and no p53-based therapeutics have been approved in the USA or Europe so far. This is probably because, as a nuclear transcription factor, p53 does not possess typical drug target features and has therefore long been considered undruggable. Nevertheless, several promising approaches towards p53-based therapy have emerged in recent years, including improved versions of earlier strategies and novel approaches to make undruggable targets druggable. Small molecules that can either protect p53 from its negative regulators or restore the functionality of mutant p53 proteins are gaining interest, and drugs tailored to specific types of p53 mutants are emerging. In parallel, there is renewed interest in gene therapy strategies and p53-based immunotherapy approaches. However, major concerns still remain to be addressed. This Review re-evaluates the efforts made towards targeting p53-dysfunctional cancers, and discusses the challenges encountered during clinical development.
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
杨怂怂完成签到 ,获得积分10
1秒前
SYLH应助qwaszx123采纳,获得10
2秒前
大白给大白的求助进行了留言
2秒前
Cuisine完成签到,获得积分10
2秒前
丘比特应助顺心的河马采纳,获得30
5秒前
吴未完成签到,获得积分10
5秒前
5秒前
Jamc1n完成签到,获得积分10
5秒前
英姑应助热舞特采纳,获得10
6秒前
邓晓霞完成签到,获得积分10
7秒前
向日葵完成签到,获得积分10
9秒前
小陈完成签到,获得积分10
9秒前
10秒前
xin完成签到,获得积分10
13秒前
罗斯ROSE完成签到 ,获得积分10
13秒前
江风海韵完成签到,获得积分10
15秒前
16秒前
李爱国应助weixiaoyu采纳,获得10
17秒前
花花公子完成签到,获得积分10
19秒前
GGBOND发布了新的文献求助10
21秒前
愤怒的之玉完成签到 ,获得积分10
22秒前
22秒前
ysh完成签到 ,获得积分10
23秒前
24秒前
小蘑菇应助aaa采纳,获得10
24秒前
SYLH应助runpeng采纳,获得10
27秒前
菠菜应助任大师兄采纳,获得200
27秒前
小马甲应助在云之南采纳,获得10
28秒前
29秒前
30秒前
烟花应助123采纳,获得10
31秒前
谨慎秋寒完成签到 ,获得积分10
32秒前
33秒前
ohh完成签到,获得积分20
34秒前
刘明生发布了新的文献求助10
34秒前
36秒前
大白给大白的求助进行了留言
38秒前
李浩然发布了新的文献求助10
39秒前
39秒前
柯南完成签到,获得积分10
40秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Musculoskeletal Pain - Market Insight, Epidemiology And Market Forecast - 2034 500
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3734505
求助须知:如何正确求助?哪些是违规求助? 3278465
关于积分的说明 10009670
捐赠科研通 2995064
什么是DOI,文献DOI怎么找? 1643182
邀请新用户注册赠送积分活动 780989
科研通“疑难数据库(出版商)”最低求助积分说明 749196