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Systematic Analysis of Splice-Site-Creating Mutations in Cancer

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 tumor...

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Autores principales: Jayasinghe, Reyka G., Cao, Song, Gao, Qingsong, Wendl, Michael C., Vo, Nam Sy, Reynolds, Sheila M., Zhao, Yanyan, Climente-González, Héctor, Chai, Shengjie, Wang, Fang, Varghese, Rajees, Huang, Mo, Liang, Wen-Wei, Wyczalkowski, Matthew A., Sengupta, Sohini, Li, Zhi, Payne, Samuel H., Fenyö, David, Miner, Jeffrey H., Walter, Matthew J., Vincent, Benjamin, Eyras, Eduardo, Chen, Ken, Shmulevich, Ilya, Chen, Feng, Ding, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6055527/
https://www.ncbi.nlm.nih.gov/pubmed/29617666
http://dx.doi.org/10.1016/j.celrep.2018.03.052
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author Jayasinghe, Reyka G.
Cao, Song
Gao, Qingsong
Wendl, Michael C.
Vo, Nam Sy
Reynolds, Sheila M.
Zhao, Yanyan
Climente-González, Héctor
Chai, Shengjie
Wang, Fang
Varghese, Rajees
Huang, Mo
Liang, Wen-Wei
Wyczalkowski, Matthew A.
Sengupta, Sohini
Li, Zhi
Payne, Samuel H.
Fenyö, David
Miner, Jeffrey H.
Walter, Matthew J.
Vincent, Benjamin
Eyras, Eduardo
Chen, Ken
Shmulevich, Ilya
Chen, Feng
Ding, Li
author_facet Jayasinghe, Reyka G.
Cao, Song
Gao, Qingsong
Wendl, Michael C.
Vo, Nam Sy
Reynolds, Sheila M.
Zhao, Yanyan
Climente-González, Héctor
Chai, Shengjie
Wang, Fang
Varghese, Rajees
Huang, Mo
Liang, Wen-Wei
Wyczalkowski, Matthew A.
Sengupta, Sohini
Li, Zhi
Payne, Samuel H.
Fenyö, David
Miner, Jeffrey H.
Walter, Matthew J.
Vincent, Benjamin
Eyras, Eduardo
Chen, Ken
Shmulevich, Ilya
Chen, Feng
Ding, Li
author_sort Jayasinghe, Reyka G.
collection PubMed
description 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.
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spelling pubmed-60555272018-07-23 Systematic Analysis of Splice-Site-Creating Mutations in Cancer Jayasinghe, Reyka G. Cao, Song Gao, Qingsong Wendl, Michael C. Vo, Nam Sy Reynolds, Sheila M. Zhao, Yanyan Climente-González, Héctor Chai, Shengjie Wang, Fang Varghese, Rajees Huang, Mo Liang, Wen-Wei Wyczalkowski, Matthew A. Sengupta, Sohini Li, Zhi Payne, Samuel H. Fenyö, David Miner, Jeffrey H. Walter, Matthew J. Vincent, Benjamin Eyras, Eduardo Chen, Ken Shmulevich, Ilya Chen, Feng Ding, Li Cell Rep Article 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. 2018-04-03 /pmc/articles/PMC6055527/ /pubmed/29617666 http://dx.doi.org/10.1016/j.celrep.2018.03.052 Text en This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jayasinghe, Reyka G.
Cao, Song
Gao, Qingsong
Wendl, Michael C.
Vo, Nam Sy
Reynolds, Sheila M.
Zhao, Yanyan
Climente-González, Héctor
Chai, Shengjie
Wang, Fang
Varghese, Rajees
Huang, Mo
Liang, Wen-Wei
Wyczalkowski, Matthew A.
Sengupta, Sohini
Li, Zhi
Payne, Samuel H.
Fenyö, David
Miner, Jeffrey H.
Walter, Matthew J.
Vincent, Benjamin
Eyras, Eduardo
Chen, Ken
Shmulevich, Ilya
Chen, Feng
Ding, Li
Systematic Analysis of Splice-Site-Creating Mutations in Cancer
title Systematic Analysis of Splice-Site-Creating Mutations in Cancer
title_full Systematic Analysis of Splice-Site-Creating Mutations in Cancer
title_fullStr Systematic Analysis of Splice-Site-Creating Mutations in Cancer
title_full_unstemmed Systematic Analysis of Splice-Site-Creating Mutations in Cancer
title_short Systematic Analysis of Splice-Site-Creating Mutations in Cancer
title_sort systematic analysis of splice-site-creating mutations in cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6055527/
https://www.ncbi.nlm.nih.gov/pubmed/29617666
http://dx.doi.org/10.1016/j.celrep.2018.03.052
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