Systematic Analysis of Splice-Site-Creating Mutations in Cancer.
Systematic Analysis of Splice-Site-Creating Mutations in Cancer.
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DOI:
10.1016/j.celrep.2018.03.052
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发表时间:
2018-04-03
期刊:
影响因子:
8.8
通讯作者:
Ding L
中科院分区:
文献类型:
--
作者:
Jayasinghe RG;Cao S;Gao Q;Wendl MC;Vo NS;Reynolds SM;Zhao Y;Climente-González H;Chai S;Wang F;Varghese R;Huang M;Liang WW;Wyczalkowski MA;Sengupta S;Li Z;Payne SH;Fenyö D;Miner JH;Walter MJ;Cancer Genome Atlas Research Network;Vincent B;Eyras E;Chen K;Shmulevich I;Chen F;Ding L
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. Jayasinghe et al. identify nearly 2,000 splice-site-creating mutations (SCMs) from over 8,000 tumor samples across 33 cancer types. They provide a more accurate interpretation of previously misannotated mutations, highlighting the importance of integrating data types to understand the functional and the clinical implications of splicing mutations in human disease.
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影响因子:
12.3
作者:
Nielsen M;Andreatta M
通讯作者:
Andreatta M
DOI:
10.1007/s00467-016-3565-4
发表时间:
2017-06
期刊:
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影响因子:
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作者:
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通讯作者:
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DOI:
10.1007/978-1-60761-759-4_15
发表时间:
2010-01-01
期刊:
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影响因子:
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作者:
Gaildrat, Pascaline;Killian, Audrey;Tosi, Mario
通讯作者:
Tosi, Mario
影响因子:
64.8
作者:
通讯作者:
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影响因子:
17.1
作者:
Koschmann C;Calinescu AA;Nunez FJ;Mackay A;Fazal-Salom J;Thomas D;Mendez F;Kamran N;Dzaman M;Mulpuri L;Krasinkiewicz J;Doherty R;Lemons R;Brosnan-Cashman JA;Li Y;Roh S;Zhao L;Appelman H;Ferguson D;Gorbunova V;Meeker A;Jones C;Lowenstein PR;Castro MG
通讯作者:
Castro MG