Literature DB >> 24665023

TP53 mutations in human cancer: database reassessment and prospects for the next decade.

Bernard Leroy1, Martha Anderson, Thierry Soussi.   

Abstract

More than 50% of human tumors carry TP53 gene mutations and in consequence more than 45,000 somatic and germline mutations have been gathered in the UMD TP53 database (http://p53.fr). Analyses of these mutations have been invaluable for bettering our knowledge on the structure-function relationships within the TP53 protein and the high degree of heterogeneity of the various TP53 mutants in human cancer. In this review, we discuss how with the release of the sequences of thousands of tumor genomes issued from high-throughput sequencing, the description of novel TP53 mutants is now reaching a plateau indicating that we are close to the full set of mutants that target the elusive tumor-suppressive activity of this protein. We performed an extensive and thorough analysis of the TP53 mutation database, focusing particularly on specific sets of mutations that were overlooked in the past because of their low frequencies, for example, synonymous mutations, splice mutations, or mutations-targeting residues subject to posttranslational modifications. We also discuss the evolution of the statistical methods used to differentiate TP53 passenger mutations and artifactual data from true mutations, a process vital to the release of an accurate TP53 mutation database that will in turn be an invaluable tool for both clinicians and researchers.
© 2014 WILEY PERIODICALS, INC.

Entities:  

Keywords:  LSDB; TP53; cancer; mutation

Mesh:

Substances:

Year:  2014        PMID: 24665023     DOI: 10.1002/humu.22552

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  116 in total

1.  Identification of Key Potential Targets and Pathway for Arsenic Trioxide by Systemic Bioinformatics Analysis in Pancreatic Cancer.

Authors:  Yanan Pang; Zhiyong Liu; Shanrong Liu
Journal:  Pathol Oncol Res       Date:  2018-11-30       Impact factor: 3.201

2.  An N6-methyladenosine at the transited codon 273 of p53 pre-mRNA promotes the expression of R273H mutant protein and drug resistance of cancer cells.

Authors:  Mohammad B Uddin; Kartik R Roy; Salman B Hosain; Sachin K Khiste; Ronald A Hill; Seetharama D Jois; Yunfeng Zhao; Alan J Tackett; Yong-Yu Liu
Journal:  Biochem Pharmacol       Date:  2018-12-19       Impact factor: 5.858

3.  TP53 Germline Variations Influence the Predisposition and Prognosis of B-Cell Acute Lymphoblastic Leukemia in Children.

Authors:  Maoxiang Qian; Xueyuan Cao; Meenakshi Devidas; Wenjian Yang; Cheng Cheng; Yunfeng Dai; Andrew Carroll; Nyla A Heerema; Hui Zhang; Takaya Moriyama; Julie M Gastier-Foster; Heng Xu; Elizabeth Raetz; Eric Larsen; Naomi Winick; W Paul Bowman; Paul L Martin; Elaine R Mardis; Robert Fulton; Gerard Zambetti; Michael Borowitz; Brent Wood; Kim E Nichols; William L Carroll; Ching-Hon Pui; Charles G Mullighan; William E Evans; Stephen P Hunger; Mary V Relling; Mignon L Loh; Jun J Yang
Journal:  J Clin Oncol       Date:  2018-01-04       Impact factor: 44.544

Review 4.  Profilin: many facets of a small protein.

Authors:  Rhonda J Davey; Pierre Dj Moens
Journal:  Biophys Rev       Date:  2020-07-13

5.  Allele-specific wild-type TP53 expression in the unaffected carrier parent of children with Li-Fraumeni syndrome.

Authors:  Jeffrey S Buzby; Shirley A Williams; Lana Schaffer; Steven R Head; Diane J Nugent
Journal:  Cancer Genet       Date:  2017-01-09

Review 6.  How the environment shapes cancer genomes.

Authors:  Gerd P Pfeifer
Journal:  Curr Opin Oncol       Date:  2015-01       Impact factor: 3.645

7.  Pathways of Metabolite-Related Damage to a Synthetic p53 Gene Exon 7 Oligonucleotide Using Magnetic Enzyme Bioreactor Beads and LC-MS/MS Sequencing.

Authors:  Spundana Malla; Karteek Kadimisetty; Di Jiang; Dharamainder Choudhary; James F Rusling
Journal:  Biochemistry       Date:  2018-05-23       Impact factor: 3.162

8.  Variable population prevalence estimates of germline TP53 variants: A gnomAD-based analysis.

Authors:  Kelvin C de Andrade; Megan N Frone; Talia Wegman-Ostrosky; Payal P Khincha; Jung Kim; Amina Amadou; Karina M Santiago; Fernanda P Fortes; Nathanaël Lemonnier; Lisa Mirabello; Douglas R Stewart; Pierre Hainaut; Luiz P Kowalski; Sharon A Savage; Maria I Achatz
Journal:  Hum Mutat       Date:  2018-11-19       Impact factor: 4.878

Review 9.  Personalized Cancer Models for Target Discovery and Precision Medicine.

Authors:  Carla Grandori; Christopher J Kemp
Journal:  Trends Cancer       Date:  2018-08-08

10.  Direct LC-MS/MS Detection of Guanine Oxidations in Exon 7 of the p53 Tumor Suppressor Gene.

Authors:  Di Jiang; Spundana Malla; You-Jun Fu; Dharamainder Choudhary; James F Rusling
Journal:  Anal Chem       Date:  2017-11-22       Impact factor: 6.986

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