Cargando…

Prognostic cancer gene signatures share common regulatory motifs

Scientists have discovered various prognostic gene signatures (GSs) in different cancer types. Surprisingly, although different GSs from the same cancer type can be used to measure similar biological characteristics, often rarely is there a gene shared by different GSs. To explain such a paradox, we...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Ying, Goodison, Steve, Li, Xiaoman, Hu, Haiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5500535/
https://www.ncbi.nlm.nih.gov/pubmed/28684851
http://dx.doi.org/10.1038/s41598-017-05035-3
_version_ 1783248647364804608
author Wang, Ying
Goodison, Steve
Li, Xiaoman
Hu, Haiyan
author_facet Wang, Ying
Goodison, Steve
Li, Xiaoman
Hu, Haiyan
author_sort Wang, Ying
collection PubMed
description Scientists have discovered various prognostic gene signatures (GSs) in different cancer types. Surprisingly, although different GSs from the same cancer type can be used to measure similar biological characteristics, often rarely is there a gene shared by different GSs. To explain such a paradox, we hypothesized that GSs from the same cancer type may be regulated by common regulatory motifs. To test this hypothesis, we carried out a comprehensive motif analysis on the prognostic GSs from five cancer types. We demonstrated that GSs from individual cancer type as well as across cancer types share regulatory motifs. We also observed that transcription factors that likely bind to these shared motifs have prognostic functions in cancers. Moreover, 75% of the predicted cofactors of these transcription factors may have cancer-related functions and some cofactors even have prognostic functions. In addition, there exist common microRNAs that regulate different GSs from individual cancer types and across cancer types, several of which are prognostic biomarkers for the corresponding cancer types. Our study suggested the existence of common regulatory mechanisms shared by GSs from individual cancer types and across cancer types, which shed light on the discovery of new prognostic GSs in cancers and the understanding of the regulatory mechanisms of cancers.
format Online
Article
Text
id pubmed-5500535
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-55005352017-07-10 Prognostic cancer gene signatures share common regulatory motifs Wang, Ying Goodison, Steve Li, Xiaoman Hu, Haiyan Sci Rep Article Scientists have discovered various prognostic gene signatures (GSs) in different cancer types. Surprisingly, although different GSs from the same cancer type can be used to measure similar biological characteristics, often rarely is there a gene shared by different GSs. To explain such a paradox, we hypothesized that GSs from the same cancer type may be regulated by common regulatory motifs. To test this hypothesis, we carried out a comprehensive motif analysis on the prognostic GSs from five cancer types. We demonstrated that GSs from individual cancer type as well as across cancer types share regulatory motifs. We also observed that transcription factors that likely bind to these shared motifs have prognostic functions in cancers. Moreover, 75% of the predicted cofactors of these transcription factors may have cancer-related functions and some cofactors even have prognostic functions. In addition, there exist common microRNAs that regulate different GSs from individual cancer types and across cancer types, several of which are prognostic biomarkers for the corresponding cancer types. Our study suggested the existence of common regulatory mechanisms shared by GSs from individual cancer types and across cancer types, which shed light on the discovery of new prognostic GSs in cancers and the understanding of the regulatory mechanisms of cancers. Nature Publishing Group UK 2017-07-06 /pmc/articles/PMC5500535/ /pubmed/28684851 http://dx.doi.org/10.1038/s41598-017-05035-3 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Wang, Ying
Goodison, Steve
Li, Xiaoman
Hu, Haiyan
Prognostic cancer gene signatures share common regulatory motifs
title Prognostic cancer gene signatures share common regulatory motifs
title_full Prognostic cancer gene signatures share common regulatory motifs
title_fullStr Prognostic cancer gene signatures share common regulatory motifs
title_full_unstemmed Prognostic cancer gene signatures share common regulatory motifs
title_short Prognostic cancer gene signatures share common regulatory motifs
title_sort prognostic cancer gene signatures share common regulatory motifs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5500535/
https://www.ncbi.nlm.nih.gov/pubmed/28684851
http://dx.doi.org/10.1038/s41598-017-05035-3
work_keys_str_mv AT wangying prognosticcancergenesignaturessharecommonregulatorymotifs
AT goodisonsteve prognosticcancergenesignaturessharecommonregulatorymotifs
AT lixiaoman prognosticcancergenesignaturessharecommonregulatorymotifs
AT huhaiyan prognosticcancergenesignaturessharecommonregulatorymotifs