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 PMID:29617666  

Systematic Analysis of Splice-Site-Creating Mutations in Cancer.

Reyka G Jayasinghe | Song Cao | Qingsong Gao | Michael C Wendl | Nam Sy Vo | Sheila M Reynolds | Yanyan Zhao | Héctor Climente-González | Shengjie Chai | Fang Wang | Rajees Varghese | Mo Huang | Wen-Wei Liang | Matthew A Wyczalkowski | Sohini Sengupta | Zhi Li | Samuel H Payne | David Fenyö | Jeffrey H Miner | Matthew J Walter | Cancer Genome Atlas Research Network | Benjamin Vincent | Eduardo Eyras | Ken Chen | Ilya Shmulevich | Feng Chen | Li Ding
Cell reports | 2018

For the past decade, cancer genomic studies have focused on mutations leading to splice-site disruption, overlooking those having splice-creating potential. Here, we applied a bioinformatic tool, MiSplice, for the large-scale discovery of splice-site-creating mutations (SCMs) across 8,656 TCGA tumors. We report 1,964 originally mis-annotated mutations having clear evidence of creating alternative splice junctions. TP53 and GATA3 have 26 and 18 SCMs, respectively, and ATRX has 5 from lower-grade gliomas. Mutations in 11 genes, including PARP1, BRCA1, and BAP1, were experimentally validated for splice-site-creating function. Notably, we found that neoantigens induced by SCMs are likely several folds more immunogenic compared to missense mutations, exemplified by the recurrent GATA3 SCM. Further, high expression of PD-1 and PD-L1 was observed in tumors with SCMs, suggesting candidates for immune blockade therapy. Our work highlights the importance of integrating DNA and RNA data for understanding the functional and the clinical implications of mutations in human diseases.

Pubmed ID: 29617666

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: NCI NIH HHS, United States
    Id: P30 CA016672
  • Agency: NCI NIH HHS, United States
    Id: U24 CA143882
  • Agency: NHGRI NIH HHS, United States
    Id: U54 HG003067
  • Agency: NCI NIH HHS, United States
    Id: U24 CA143835
  • Agency: NCI NIH HHS, United States
    Id: U24 CA143866
  • Agency: NCI NIH HHS, United States
    Id: P30 CA016086
  • Agency: NCI NIH HHS, United States
    Id: U24 CA210950
  • Agency: NCI NIH HHS, United States
    Id: U24 CA143845
  • Agency: NCI NIH HHS, United States
    Id: U24 CA143799
  • Agency: NHGRI NIH HHS, United States
    Id: U54 HG003273
  • Agency: NCI NIH HHS, United States
    Id: U24 CA144025
  • Agency: NCI NIH HHS, United States
    Id: U24 CA143840
  • Agency: NCI NIH HHS, United States
    Id: U24 CA143843
  • Agency: NCI NIH HHS, United States
    Id: U24 CA210972
  • Agency: NCI NIH HHS, United States
    Id: R01 CA180006
  • Agency: NCI NIH HHS, United States
    Id: U24 CA143858
  • Agency: NCI NIH HHS, United States
    Id: U24 CA143848
  • Agency: NCI NIH HHS, United States
    Id: U24 CA210957
  • Agency: NHGRI NIH HHS, United States
    Id: U54 HG003079
  • Agency: NCI NIH HHS, United States
    Id: U24 CA143883
  • Agency: NCI NIH HHS, United States
    Id: U24 CA211006
  • Agency: NCI NIH HHS, United States
    Id: R01 CA163722
  • Agency: NCI NIH HHS, United States
    Id: R01 CA178383
  • Agency: NCI NIH HHS, United States
    Id: U24 CA143867
  • Agency: NHGRI NIH HHS, United States
    Id: R01 HG009711
  • Agency: NCI NIH HHS, United States
    Id: U24 CA210990

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This is a list of tools and resources that we have found mentioned in this publication.


SAM format (tool)

RRID:SCR_012093

A generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms.

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