Cargando…
Network perturbation by recurrent regulatory variants in cancer
Cancer driving genes have been identified as recurrently affected by variants that alter protein-coding sequences. However, a majority of cancer variants arise in noncoding regions, and some of them are thought to play a critical role through transcriptional perturbation. Here we identified putative...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5383347/ https://www.ncbi.nlm.nih.gov/pubmed/28333928 http://dx.doi.org/10.1371/journal.pcbi.1005449 |
_version_ | 1782520271708618752 |
---|---|
author | Jang, Kiwon Kim, Kwoneel Cho, Ara Lee, Insuk Choi, Jung Kyoon |
author_facet | Jang, Kiwon Kim, Kwoneel Cho, Ara Lee, Insuk Choi, Jung Kyoon |
author_sort | Jang, Kiwon |
collection | PubMed |
description | Cancer driving genes have been identified as recurrently affected by variants that alter protein-coding sequences. However, a majority of cancer variants arise in noncoding regions, and some of them are thought to play a critical role through transcriptional perturbation. Here we identified putative transcriptional driver genes based on combinatorial variant recurrence in cis-regulatory regions. The identified genes showed high connectivity in the cancer type-specific transcription regulatory network, with high outdegree and many downstream genes, highlighting their causative role during tumorigenesis. In the protein interactome, the identified transcriptional drivers were not as highly connected as coding driver genes but appeared to form a network module centered on the coding drivers. The coding and regulatory variants associated via these interactions between the coding and transcriptional drivers showed exclusive and complementary occurrence patterns across tumor samples. Transcriptional cancer drivers may act through an extensive perturbation of the regulatory network and by altering protein network modules through interactions with coding driver genes. |
format | Online Article Text |
id | pubmed-5383347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-53833472017-05-03 Network perturbation by recurrent regulatory variants in cancer Jang, Kiwon Kim, Kwoneel Cho, Ara Lee, Insuk Choi, Jung Kyoon PLoS Comput Biol Research Article Cancer driving genes have been identified as recurrently affected by variants that alter protein-coding sequences. However, a majority of cancer variants arise in noncoding regions, and some of them are thought to play a critical role through transcriptional perturbation. Here we identified putative transcriptional driver genes based on combinatorial variant recurrence in cis-regulatory regions. The identified genes showed high connectivity in the cancer type-specific transcription regulatory network, with high outdegree and many downstream genes, highlighting their causative role during tumorigenesis. In the protein interactome, the identified transcriptional drivers were not as highly connected as coding driver genes but appeared to form a network module centered on the coding drivers. The coding and regulatory variants associated via these interactions between the coding and transcriptional drivers showed exclusive and complementary occurrence patterns across tumor samples. Transcriptional cancer drivers may act through an extensive perturbation of the regulatory network and by altering protein network modules through interactions with coding driver genes. Public Library of Science 2017-03-23 /pmc/articles/PMC5383347/ /pubmed/28333928 http://dx.doi.org/10.1371/journal.pcbi.1005449 Text en © 2017 Jang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Jang, Kiwon Kim, Kwoneel Cho, Ara Lee, Insuk Choi, Jung Kyoon Network perturbation by recurrent regulatory variants in cancer |
title | Network perturbation by recurrent regulatory variants in cancer |
title_full | Network perturbation by recurrent regulatory variants in cancer |
title_fullStr | Network perturbation by recurrent regulatory variants in cancer |
title_full_unstemmed | Network perturbation by recurrent regulatory variants in cancer |
title_short | Network perturbation by recurrent regulatory variants in cancer |
title_sort | network perturbation by recurrent regulatory variants in cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5383347/ https://www.ncbi.nlm.nih.gov/pubmed/28333928 http://dx.doi.org/10.1371/journal.pcbi.1005449 |
work_keys_str_mv | AT jangkiwon networkperturbationbyrecurrentregulatoryvariantsincancer AT kimkwoneel networkperturbationbyrecurrentregulatoryvariantsincancer AT choara networkperturbationbyrecurrentregulatoryvariantsincancer AT leeinsuk networkperturbationbyrecurrentregulatoryvariantsincancer AT choijungkyoon networkperturbationbyrecurrentregulatoryvariantsincancer |