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通过使用TP53错义突变文库进行数据挖掘对人类疾病中的TP53突变数据库进行重新评估。

Reassessment of the TP53 mutation database in human disease by data mining with a library of TP53 missense mutations.

作者信息

Soussi Thierry, Kato Shunsuke, Levy Pierre P, Ishioka Chikashi

机构信息

Laboratoire de génotoxicologie des tumeurs, Département de Pneumologie, Hôpital Tenon, Paris, France.

出版信息

Hum Mutat. 2005 Jan;25(1):6-17. doi: 10.1002/humu.20114.

DOI:10.1002/humu.20114
PMID:15580553
Abstract

TP53 alteration is the most frequent genetic alteration found in human cancers. To date, more than 15,000 tumors with TP53 mutations have been published, leading to the description of more than 1,500 different TP53 mutants (http://p53.curie.fr). The frequency of these mutants is highly heterogeneous, with 11 hotspot mutants found more than 100 times, whereas 306 mutants have been reported only once. So far, little is known concerning the biological significance of these rare mutants, as the majority of biological studies have focused on classic hotspot mutants. In order to gain a deeper knowledge about the significance of all of these mutants, we have cross-checked each mutant of the TP53 mutation database for its activity, derived from a library of 2,314 TP53 mutants representing all possible amino acid substitutions caused by a point mutation. The transactivation activity of all of these mutant was analyzed with respect to eight transcription promoters [Kato S, et al., Proc Natl Acad Sci USA (2003)100:8424-8429]. Although the most frequent TP53 mutants sustain a clear loss of transactivation activity, more than 50% of the rare TP53 mutants display significant activity. Analysis in specific types of cancer or in normal skin patches demonstrates a similar distribution of TP53 loss of activity, with the exception of melanoma, in which the majority of TP53 mutants display significant activity. Our data indicate that TP53 mutants represent a highly heterogeneous population with a large diversity in terms of loss of transactivation activity that could account for the heterogeneous tumor phenotypes and the difficulty of clinical studies.

摘要

TP53改变是人类癌症中最常见的基因改变。迄今为止,已发表了超过15000个具有TP53突变的肿瘤,从而描述了1500多种不同的TP53突变体(http://p53.curie.fr)。这些突变体的频率高度异质,有11个热点突变体被发现超过100次,而有306个突变体仅被报道过一次。到目前为止,对于这些罕见突变体的生物学意义知之甚少,因为大多数生物学研究都集中在经典的热点突变体上。为了更深入地了解所有这些突变体的意义,我们对TP53突变数据库中的每个突变体的活性进行了交叉核对,这些活性来自一个包含2314个TP53突变体的文库,这些突变体代表了由点突变引起的所有可能的氨基酸替换。针对八个转录启动子分析了所有这些突变体的反式激活活性[加藤S等人,《美国国家科学院院刊》(2003年)100:8424 - 8429]。尽管最常见的TP53突变体反式激活活性明显丧失,但超过50%的罕见TP53突变体显示出显著活性。在特定类型的癌症或正常皮肤斑块中的分析表明,TP53活性丧失的分布相似,但黑色素瘤除外,在黑色素瘤中大多数TP53突变体显示出显著活性。我们的数据表明,TP53突变体代表了一个高度异质的群体,在反式激活活性丧失方面具有很大的多样性,这可能解释了肿瘤表型的异质性和临床研究的困难。

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1
Reassessment of the TP53 mutation database in human disease by data mining with a library of TP53 missense mutations.通过使用TP53错义突变文库进行数据挖掘对人类疾病中的TP53突变数据库进行重新评估。
Hum Mutat. 2005 Jan;25(1):6-17. doi: 10.1002/humu.20114.
2
TP53 mutations in human cancers: functional selection and impact on cancer prognosis and outcomes.人类癌症中的TP53突变:功能选择及其对癌症预后和结局的影响。
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Impact of mutant p53 functional properties on TP53 mutation patterns and tumor phenotype: lessons from recent developments in the IARC TP53 database.突变型p53功能特性对TP53突变模式和肿瘤表型的影响:来自国际癌症研究机构TP53数据库最新进展的经验教训
Hum Mutat. 2007 Jun;28(6):622-9. doi: 10.1002/humu.20495.
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Li-Fraumeni and related syndromes: correlation between tumor type, family structure, and TP53 genotype.李-弗劳梅尼综合征及相关综合征:肿瘤类型、家族结构与TP53基因分型之间的相关性
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The IARC TP53 database: new online mutation analysis and recommendations to users.国际癌症研究机构TP53数据库:新的在线突变分析及对用户的建议。
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Germ-line mutations of TP53 in Li-Fraumeni families: an extended study of 39 families.李-弗劳梅尼家族中TP53的种系突变:对39个家族的扩展研究
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The TP53 gene promoter is not methylated in families suggestive of Li-Fraumeni syndrome with no germline TP53 mutations.在提示患李-佛美尼综合征但无种系TP53突变的家族中,TP53基因启动子未发生甲基化。
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J Med Genet. 2008 Aug;45(8):535-8. doi: 10.1136/jmg.2008.057570. Epub 2008 May 29.

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