TP53: an oncogene in disguise

基因 生物 突变体 抑制器 癌基因 抑癌基因 表型 遗传学 基因产物 突变 癌症 基因组 癌症研究 计算生物学 基因表达 癌变 细胞周期
作者
Thierry Soussi,Klas G. Wiman
出处
期刊:Cell Death & Differentiation [Springer Nature]
卷期号:22 (8): 1239-1249 被引量:286
标识
DOI:10.1038/cdd.2015.53
摘要

The standard classification used to define the various cancer genes confines tumor protein p53 (TP53) to the role of a tumor suppressor gene. However, it is now an indisputable fact that many p53 mutants act as oncogenic proteins. This statement is based on multiple arguments including the mutation signature of the TP53 gene in human cancer, the various gains-of-function (GOFs) of the different p53 mutants and the heterogeneous phenotypes developed by knock-in mouse strains modeling several human TP53 mutations. In this review, we will shatter the classical and traditional image of tumor protein p53 (TP53) as a tumor suppressor gene by emphasizing its multiple oncogenic properties that make it a potential therapeutic target that should not be underestimated. Analysis of the data generated by the various cancer genome projects highlights the high frequency of TP53 mutations and reveals that several p53 hotspot mutants are the most common oncoprotein variants expressed in several types of tumors. The use of Muller’s classical definition of mutations based on quantitative and qualitative consequences on the protein product, such as ‘amorph’, ‘hypomorph’, ‘hypermorph’ ‘neomorph’ or ‘antimorph’, allows a more meaningful assessment of the consequences of cancer gene modifications, their potential clinical significance, and clearly demonstrates that the TP53 gene is an atypical cancer gene.
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
1秒前
wqx发布了新的文献求助30
1秒前
秋子发布了新的文献求助10
2秒前
自然的乐萱关注了科研通微信公众号
2秒前
2秒前
2秒前
饼饼应助风雨潇湘采纳,获得20
3秒前
4秒前
Jasper应助迁湾采纳,获得10
4秒前
深情安青应助Quiyue采纳,获得10
5秒前
5秒前
6秒前
丁双飞发布了新的文献求助10
6秒前
6秒前
7秒前
房东发布了新的文献求助30
7秒前
从容谷菱发布了新的文献求助20
7秒前
7秒前
zzzxx发布了新的文献求助10
7秒前
8秒前
8秒前
健忘飞风完成签到,获得积分10
8秒前
满意海秋完成签到,获得积分10
8秒前
8秒前
我爱木棉完成签到,获得积分10
9秒前
kingwill发布了新的文献求助30
9秒前
李子发布了新的文献求助10
9秒前
tong完成签到,获得积分10
10秒前
10秒前
10秒前
xiaoxiao完成签到,获得积分10
11秒前
bobo发布了新的文献求助10
11秒前
11秒前
无极微光应助319采纳,获得20
11秒前
蜂蜜发布了新的文献求助10
11秒前
科研通AI6.3应助晨gegeai采纳,获得10
12秒前
刘浩营应助sunidea采纳,获得10
12秒前
xiaojie发布了新的文献求助10
12秒前
王一二发布了新的文献求助10
12秒前
CodeCraft应助wode采纳,获得10
12秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6477542
求助须知:如何正确求助?哪些是违规求助? 8279378
关于积分的说明 17657260
捐赠科研通 5559693
什么是DOI,文献DOI怎么找? 2910880
邀请新用户注册赠送积分活动 1887826
关于科研通互助平台的介绍 1741360