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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...

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Autores principales: Li, Ruijiang, Jiang, Shuai, Li, Wanying, Hong, Hao, Zhao, Chenghui, Huang, Xin, Zhang, Zhuo, Li, Hao, Chen, Hebing, Bo, Xiaochen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2019
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.
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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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