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Exploration of prognosis-related microRNA and transcription factor co-regulatory networks across cancer types
The study of cancer prognosis serves as an important part of cancer research. Large-scale cancer studies have identified numerous genes and microRNAs (miRNAs) associated with prognosis. These informative genes and miRNAs represent potential biomarkers to predict survival and to elucidate the molecul...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602415/ https://www.ncbi.nlm.nih.gov/pubmed/31046554 http://dx.doi.org/10.1080/15476286.2019.1607714 |
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author | Li, Ruijiang Jiang, Shuai Li, Wanying Hong, Hao Zhao, Chenghui Huang, Xin Zhang, Zhuo Li, Hao Chen, Hebing Bo, Xiaochen |
author_facet | Li, Ruijiang Jiang, Shuai Li, Wanying Hong, Hao Zhao, Chenghui Huang, Xin Zhang, Zhuo Li, Hao Chen, Hebing Bo, Xiaochen |
author_sort | Li, Ruijiang |
collection | PubMed |
description | The study of cancer prognosis serves as an important part of cancer research. Large-scale cancer studies have identified numerous genes and microRNAs (miRNAs) associated with prognosis. These informative genes and miRNAs represent potential biomarkers to predict survival and to elucidate the molecular mechanism of tumour progression. MiRNAs and transcription factors (TFs) can work cooperatively as essential mediators of gene expression, and their dysregulation affects cancer prognosis. A panoramic view of cancer prognosis at the system level, considering the co-regulation roles of miRNA and TF, remains elusive. Here, we establish 12 prognosis-related miRNA-TF co-regulatory networks. The characteristics of prognostic target genes and their regulators in the network are depicted. Although the target genes and co-regulatory patterns exhibit cancer-specific properties, some miRNAs and TFs are highly conserved across cancers. We illustrate and interpret the roles of these conserved regulators by building a model associated with cancer hallmarks, functional enrichment analysis, network community detection, and exhaustive literature research. The elaborated system-level prognostic miRNA-TF co-regulation landscape, including the highlighted roles of conserved regulators, provides a novel and powerful insights into further biological and medical discoveries. |
format | Online Article Text |
id | pubmed-6602415 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-66024152019-07-08 Exploration of prognosis-related microRNA and transcription factor co-regulatory networks across cancer types Li, Ruijiang Jiang, Shuai Li, Wanying Hong, Hao Zhao, Chenghui Huang, Xin Zhang, Zhuo Li, Hao Chen, Hebing Bo, Xiaochen RNA Biol Research Paper The study of cancer prognosis serves as an important part of cancer research. Large-scale cancer studies have identified numerous genes and microRNAs (miRNAs) associated with prognosis. These informative genes and miRNAs represent potential biomarkers to predict survival and to elucidate the molecular mechanism of tumour progression. MiRNAs and transcription factors (TFs) can work cooperatively as essential mediators of gene expression, and their dysregulation affects cancer prognosis. A panoramic view of cancer prognosis at the system level, considering the co-regulation roles of miRNA and TF, remains elusive. Here, we establish 12 prognosis-related miRNA-TF co-regulatory networks. The characteristics of prognostic target genes and their regulators in the network are depicted. Although the target genes and co-regulatory patterns exhibit cancer-specific properties, some miRNAs and TFs are highly conserved across cancers. We illustrate and interpret the roles of these conserved regulators by building a model associated with cancer hallmarks, functional enrichment analysis, network community detection, and exhaustive literature research. The elaborated system-level prognostic miRNA-TF co-regulation landscape, including the highlighted roles of conserved regulators, provides a novel and powerful insights into further biological and medical discoveries. Taylor & Francis 2019-05-03 /pmc/articles/PMC6602415/ /pubmed/31046554 http://dx.doi.org/10.1080/15476286.2019.1607714 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
spellingShingle | Research Paper Li, Ruijiang Jiang, Shuai Li, Wanying Hong, Hao Zhao, Chenghui Huang, Xin Zhang, Zhuo Li, Hao Chen, Hebing Bo, Xiaochen Exploration of prognosis-related microRNA and transcription factor co-regulatory networks across cancer types |
title | Exploration of prognosis-related microRNA and transcription factor co-regulatory networks across cancer types |
title_full | Exploration of prognosis-related microRNA and transcription factor co-regulatory networks across cancer types |
title_fullStr | Exploration of prognosis-related microRNA and transcription factor co-regulatory networks across cancer types |
title_full_unstemmed | Exploration of prognosis-related microRNA and transcription factor co-regulatory networks across cancer types |
title_short | Exploration of prognosis-related microRNA and transcription factor co-regulatory networks across cancer types |
title_sort | exploration of prognosis-related microrna and transcription factor co-regulatory networks across cancer types |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602415/ https://www.ncbi.nlm.nih.gov/pubmed/31046554 http://dx.doi.org/10.1080/15476286.2019.1607714 |
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