Dominant-negative mutations of the tumor suppressor p53 relating to early onset of glioblastoma multiforme.

突变体 生物 癌症研究 突变 突变 抑癌基因 野生型 基因 分子生物学 遗传学 癌变
作者
Masumi Marutani,Hidefumi Tonoki,Mitsuhiro Tada,Masato Takahashi,Haruhiko Kashiwazaki,Yasuhiro Hida,Jun Ich Hamada,Masahiro Asaka,Tetsuya Moriuchi
出处
期刊:PubMed 卷期号:59 (19): 4765-9 被引量:66
链接
标识
摘要

Previous experiments have suggested that some mutant forms of p53 are able to inactivate the endogenous wild-type p53 protein in a dominant-negative fashion. However, it remains unknown whether tumors with such dominant-negative (transdominant) p53 mutants have a biological significance that is different from that of recessive p53 mutants. In this study, we examined the dominant-negative potential of various p53 mutants using a yeast-based assay in which both wild-type and mutant p53 were efficiently expressed. We tested a total of 106 p53 mutants, which were identified in brain tumors, glioblastoma multiforme-derived cell lines, breast cancers, or premalignant lesions and squamous cell carcinomas of oral epithelium or were otherwise created by mutagenesis. In agreement with the previous studies, our results demonstrated that transdominant mutations affected amino acid residues that are essential for the stabilization of the DNA-binding surface in the p53 core domain and for the direct interaction of p53 with its DNA-binding sequence. Among 40 patients with sporadic glioblastomas, the average age at diagnosis was significantly younger in the patients with tumors harboring dominant-negative mutations (30.4 +/- 14.7 years, n = 7) than it was in those with recessive mutations (55.2 +/- 18.6 years, n = 9, P < 0.012) and in those without mutations (54.7 +/- 17.1 years, n = 24, P < 0.003). Our data suggest that dominant-negative p53 mutants accelerate development and/or growth of glioblastoma anlagen.

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
栗惠发布了新的文献求助10
刚刚
CHH发布了新的文献求助10
刚刚
11完成签到,获得积分10
1秒前
高伟杰完成签到,获得积分10
1秒前
weiyu_u完成签到,获得积分10
2秒前
再见战王完成签到 ,获得积分10
2秒前
嘻嘻完成签到 ,获得积分10
2秒前
搞怪慕凝发布了新的文献求助10
3秒前
可可可11完成签到 ,获得积分10
4秒前
4秒前
duxiao完成签到 ,获得积分10
5秒前
冷静芹菜完成签到 ,获得积分10
6秒前
伍仨仨完成签到,获得积分10
6秒前
这丁发布了新的文献求助10
7秒前
ussiMi完成签到 ,获得积分10
7秒前
李健应助团团采纳,获得10
7秒前
8秒前
8秒前
zjl900111完成签到,获得积分10
9秒前
orixero应助bbdd2334采纳,获得10
9秒前
12秒前
搞怪慕凝完成签到,获得积分20
12秒前
tier3发布了新的文献求助30
13秒前
AAAAA完成签到 ,获得积分10
14秒前
真实的俊驰完成签到,获得积分10
15秒前
小奕完成签到,获得积分10
15秒前
15秒前
s1kl完成签到,获得积分10
16秒前
For发布了新的文献求助10
18秒前
19秒前
19秒前
sxxsxx应助文件撤销了驳回
21秒前
zhj发布了新的文献求助10
22秒前
枫叶完成签到,获得积分10
23秒前
酷波er应助iuv采纳,获得10
24秒前
Gru发布了新的文献求助10
24秒前
25秒前
goldNAN完成签到,获得积分10
25秒前
dm11完成签到,获得积分10
26秒前
CodeCraft应助民族风采纳,获得10
26秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Very-high-order BVD Schemes Using β-variable THINC Method 568
Chen Hansheng: China’s Last Romantic Revolutionary 500
XAFS for Everyone 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 3137174
求助须知:如何正确求助?哪些是违规求助? 2788239
关于积分的说明 7785062
捐赠科研通 2444183
什么是DOI,文献DOI怎么找? 1299854
科研通“疑难数据库(出版商)”最低求助积分说明 625586
版权声明 601011