» Articles » PMID: 20182602

TP53 Mutations in Human Cancers: Origins, Consequences, and Clinical Use

Overview
Date 2010 Feb 26
PMID 20182602
Citations 1004
Authors
Affiliations
Soon will be listed here.
Abstract

Somatic mutations in the TP53 gene are one of the most frequent alterations in human cancers, and germline mutations are the underlying cause of Li-Fraumeni syndrome, which predisposes to a wide spectrum of early-onset cancers. Most mutations are single-base substitutions distributed throughout the coding sequence. Their diverse types and positions may inform on the nature of mutagenic mechanisms involved in cancer etiology. TP53 mutations are also potential prognostic and predictive markers, as well as targets for pharmacological intervention. All mutations found in human cancers are compiled in the IARC TP53 Database (http://www-p53.iarc.fr/). A human TP53 knockin mouse model (Hupki mouse) provides an experimental model to study mutagenesis in the context of a human TP53 sequence. Here, we summarize current knowledge on TP53 gene variations observed in human cancers and populations, and current clinical applications derived from this knowledge.

Citing Articles

Mis-splicing drives loss of function of p53E224D point mutation.

Lock I, Leisenring N, Floyd W, Xu E, Luo L, Ma Y PLoS One. 2025; 20(3):e0318856.

PMID: 40043089 PMC: 11882087. DOI: 10.1371/journal.pone.0318856.


Novel Detection and Clinical Utility of Serum-Derived Extracellular Vesicle in Angiosarcoma.

Yokoi K, Wang J, Yoshioka Y, Fujisawa Y, Fujimoto M, Ochiya T Acta Derm Venereol. 2025; 105:adv40902.

PMID: 40001341 PMC: 11877856. DOI: 10.2340/actadv.v105.40902.


Clinical Characteristics and Chemosensitivity in Germline TP53 Pathogenic Variant Cases Identified by Cancer Genomic Testing.

Saito Y, Hoshi Y, Sato M, Seino M, Watanabe N, Kawai M Cancer Genomics Proteomics. 2025; 22(2):354-362.

PMID: 39993798 PMC: 11880932. DOI: 10.21873/cgp.20506.


OTUD7B is a new deubiquitinase targeting p53.

Ding C, Cao L, Wang R, Wu Q, Li M, Zhang J Theranostics. 2025; 15(6):2121-2138.

PMID: 39990225 PMC: 11840744. DOI: 10.7150/thno.103012.


Integrative machine learning model of RNA modifications predict prognosis and treatment response in patients with breast cancer.

Wang T, Wang S, Li Z, Xie J, Jia Q, Hou J Cancer Cell Int. 2025; 25(1):43.

PMID: 39948551 PMC: 11827143. DOI: 10.1186/s12935-025-03651-y.


References
1.
Oren M, Rotter V . Mutant p53 gain-of-function in cancer. Cold Spring Harb Perspect Biol. 2010; 2(2):a001107. PMC: 2828285. DOI: 10.1101/cshperspect.a001107. View

2.
Olivier M, Hussain S, Caron de Fromentel C, Hainaut P, Harris C . TP53 mutation spectra and load: a tool for generating hypotheses on the etiology of cancer. IARC Sci Publ. 2004; (157):247-70. View

3.
Frebourg T, Barbier N, Kassel J, Ng Y, Romero P, Friend S . A functional screen for germ line p53 mutations based on transcriptional activation. Cancer Res. 1992; 52(24):6976-8. View

4.
Malkin D, Li F, Strong L, Fraumeni Jr J, Nelson C, Kim D . Germ line p53 mutations in a familial syndrome of breast cancer, sarcomas, and other neoplasms. Science. 1990; 250(4985):1233-8. DOI: 10.1126/science.1978757. View

5.
Vom Brocke J, Schmeiser H, Reinbold M, Hollstein M . MEF immortalization to investigate the ins and outs of mutagenesis. Carcinogenesis. 2006; 27(11):2141-7. DOI: 10.1093/carcin/bgl101. View