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Pan-cancer transcriptomic analysis associates long non-coding RNAs with key mutational driver events
Thousands of long non-coding RNAs (lncRNAs) lie interspersed with coding genes across the genome, and a small subset has been implicated as downstream effectors in oncogenic pathways. Here we make use of transcriptome and exome sequencing data from thousands of tumours across 19 cancer types, to ide...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5093340/ https://www.ncbi.nlm.nih.gov/pubmed/28959951 http://dx.doi.org/10.1038/ncomms13197 |
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author | Ashouri, Arghavan Sayin, Volkan I. Van den Eynden, Jimmy Singh, Simranjit X. Papagiannakopoulos, Thales Larsson, Erik |
author_facet | Ashouri, Arghavan Sayin, Volkan I. Van den Eynden, Jimmy Singh, Simranjit X. Papagiannakopoulos, Thales Larsson, Erik |
author_sort | Ashouri, Arghavan |
collection | PubMed |
description | Thousands of long non-coding RNAs (lncRNAs) lie interspersed with coding genes across the genome, and a small subset has been implicated as downstream effectors in oncogenic pathways. Here we make use of transcriptome and exome sequencing data from thousands of tumours across 19 cancer types, to identify lncRNAs that are induced or repressed in relation to somatic mutations in key oncogenic driver genes. Our screen confirms known coding and non-coding effectors and also associates many new lncRNAs to relevant pathways. The associations are often highly reproducible across cancer types, and while many lncRNAs are co-expressed with their protein-coding hosts or neighbours, some are intergenic and independent. We highlight lncRNAs with possible functions downstream of the tumour suppressor TP53 and the master antioxidant transcription factor NFE2L2. Our study provides a comprehensive overview of lncRNA transcriptional alterations in relation to key driver mutational events in human cancers. |
format | Online Article Text |
id | pubmed-5093340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50933402016-11-18 Pan-cancer transcriptomic analysis associates long non-coding RNAs with key mutational driver events Ashouri, Arghavan Sayin, Volkan I. Van den Eynden, Jimmy Singh, Simranjit X. Papagiannakopoulos, Thales Larsson, Erik Nat Commun Article Thousands of long non-coding RNAs (lncRNAs) lie interspersed with coding genes across the genome, and a small subset has been implicated as downstream effectors in oncogenic pathways. Here we make use of transcriptome and exome sequencing data from thousands of tumours across 19 cancer types, to identify lncRNAs that are induced or repressed in relation to somatic mutations in key oncogenic driver genes. Our screen confirms known coding and non-coding effectors and also associates many new lncRNAs to relevant pathways. The associations are often highly reproducible across cancer types, and while many lncRNAs are co-expressed with their protein-coding hosts or neighbours, some are intergenic and independent. We highlight lncRNAs with possible functions downstream of the tumour suppressor TP53 and the master antioxidant transcription factor NFE2L2. Our study provides a comprehensive overview of lncRNA transcriptional alterations in relation to key driver mutational events in human cancers. Nature Publishing Group 2016-10-25 /pmc/articles/PMC5093340/ /pubmed/28959951 http://dx.doi.org/10.1038/ncomms13197 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Ashouri, Arghavan Sayin, Volkan I. Van den Eynden, Jimmy Singh, Simranjit X. Papagiannakopoulos, Thales Larsson, Erik Pan-cancer transcriptomic analysis associates long non-coding RNAs with key mutational driver events |
title | Pan-cancer transcriptomic analysis associates long non-coding RNAs with key mutational driver events |
title_full | Pan-cancer transcriptomic analysis associates long non-coding RNAs with key mutational driver events |
title_fullStr | Pan-cancer transcriptomic analysis associates long non-coding RNAs with key mutational driver events |
title_full_unstemmed | Pan-cancer transcriptomic analysis associates long non-coding RNAs with key mutational driver events |
title_short | Pan-cancer transcriptomic analysis associates long non-coding RNAs with key mutational driver events |
title_sort | pan-cancer transcriptomic analysis associates long non-coding rnas with key mutational driver events |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5093340/ https://www.ncbi.nlm.nih.gov/pubmed/28959951 http://dx.doi.org/10.1038/ncomms13197 |
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