Literature DB >> 28026089

Synonymous Somatic Variants in Human Cancer Are Not Infamous: A Plea for Full Disclosure in Databases and Publications.

Thierry Soussi1,2,3, Peter E M Taschner4, Yardena Samuels5.   

Abstract

Single-nucleotide variants (SNVs) are the most frequent genetic changes found in human cancer. Most driver alterations are missense and nonsense variants localized in the coding region of cancer genes. Unbiased cancer genome sequencing shows that synonymous SNVs (sSNVs) can be found clustered in the coding regions of several cancer oncogenes or tumor suppressor genes suggesting purifying selection. sSNVs are currently underestimated, as they are usually discarded during analysis. Furthermore, several public databases do not display sSNVs, which can lead to analytical bias and the false assumption that this mutational event is uncommon. Recent progress in our understanding of the deleterious consequences of these sSNVs for RNA stability and protein translation shows that they can act as strong drivers of cancer, as demonstrated for several cancer genes such as TP53 or BCL2L12. It is therefore essential that sSNVs be properly reported and analyzed in order to provide an accurate picture of the genetic landscape of the cancer genome.
© 2016 WILEY PERIODICALS, INC.

Entities:  

Keywords:  TP53; cancer; database; synonymous variants

Mesh:

Year:  2017        PMID: 28026089     DOI: 10.1002/humu.23163

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


  9 in total

1.  Estimating growth patterns and driver effects in tumor evolution from individual samples.

Authors:  Leonidas Salichos; William Meyerson; Jonathan Warrell; Mark Gerstein
Journal:  Nat Commun       Date:  2020-02-05       Impact factor: 14.919

2.  Rare-variant pathogenicity triage and inclusion of synonymous variants improves analysis of disease associations of orphan G protein-coupled receptors.

Authors:  Ridge Dershem; Raghu P R Metpally; Kirk Jeffreys; Sarathbabu Krishnamurthy; Diane T Smelser; Michal Hershfinkel; David J Carey; Janet D Robishaw; Gerda E Breitwieser
Journal:  J Biol Chem       Date:  2019-10-18       Impact factor: 5.157

3.  Inferring Potential Cancer Driving Synonymous Variants.

Authors:  Zishuo Zeng; Yana Bromberg
Journal:  Genes (Basel)       Date:  2022-04-27       Impact factor: 4.141

Review 4.  Recognition of the polycistronic nature of human genes is critical to understanding the genotype-phenotype relationship.

Authors:  Marie A Brunet; Sébastien A Levesque; Darel J Hunting; Alan A Cohen; Xavier Roucou
Journal:  Genome Res       Date:  2018-04-06       Impact factor: 9.043

Review 5.  ERIC recommendations for TP53 mutation analysis in chronic lymphocytic leukemia-update on methodological approaches and results interpretation.

Authors:  J Malcikova; E Tausch; D Rossi; L A Sutton; T Soussi; T Zenz; A P Kater; C U Niemann; D Gonzalez; F Davi; M Gonzalez Diaz; C Moreno; G Gaidano; K Stamatopoulos; R Rosenquist; S Stilgenbauer; P Ghia; S Pospisilova
Journal:  Leukemia       Date:  2018-02-02       Impact factor: 11.528

6.  Pediatric Cancer Variant Pathogenicity Information Exchange (PeCanPIE): a cloud-based platform for curating and classifying germline variants.

Authors:  Michael N Edmonson; Aman N Patel; Dale J Hedges; Zhaoming Wang; Evadnie Rampersaud; Chimene A Kesserwan; Xin Zhou; Yanling Liu; Scott Newman; Michael C Rusch; Clay L McLeod; Mark R Wilkinson; Stephen V Rice; Thierry Soussi; J Paul Taylor; Michael Benatar; Jared B Becksfort; Kim E Nichols; Leslie L Robison; James R Downing; Jinghui Zhang
Journal:  Genome Res       Date:  2019-08-22       Impact factor: 9.043

7.  An analysis of mutational signatures of synonymous mutations across 15 cancer types.

Authors:  Yannan Bin; Xiaojuan Wang; Le Zhao; Pengbo Wen; Junfeng Xia
Journal:  BMC Med Genet       Date:  2019-12-09       Impact factor: 2.103

8.  Comprehensive assessment of TP53 loss of function using multiple combinatorial mutagenesis libraries.

Authors:  Vincent Carbonnier; Bernard Leroy; Shai Rosenberg; Thierry Soussi
Journal:  Sci Rep       Date:  2020-11-23       Impact factor: 4.379

9.  Prevalence and architecture of posttranscriptionally impaired synonymous mutations in 8,320 genomes across 22 cancer types.

Authors:  Huajing Teng; Wenqing Wei; Qinglan Li; Meiying Xue; Xiaohui Shi; Xianfeng Li; Fengbiao Mao; Zhongsheng Sun
Journal:  Nucleic Acids Res       Date:  2020-02-20       Impact factor: 16.971

  9 in total

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