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Investigating MicroRNA and transcription factor co-regulatory networks in colorectal cancer

BACKGROUND: Colorectal cancer (CRC) is one of the most common malignancies worldwide with poor prognosis. Studies have showed that abnormal microRNA (miRNA) expression can affect CRC pathogenesis and development through targeting critical genes in cellular system. However, it is unclear about which...

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Autores principales: Wang, Hao, Luo, Jiamao, Liu, Chun, Niu, Huilin, Wang, Jing, Liu, Qi, Zhao, Zhongming, Xu, Hua, Ding, Yanqing, Sun, Jingchun, Zhang, Qingling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5581471/
https://www.ncbi.nlm.nih.gov/pubmed/28865443
http://dx.doi.org/10.1186/s12859-017-1796-4
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author Wang, Hao
Luo, Jiamao
Liu, Chun
Niu, Huilin
Wang, Jing
Liu, Qi
Zhao, Zhongming
Xu, Hua
Ding, Yanqing
Sun, Jingchun
Zhang, Qingling
author_facet Wang, Hao
Luo, Jiamao
Liu, Chun
Niu, Huilin
Wang, Jing
Liu, Qi
Zhao, Zhongming
Xu, Hua
Ding, Yanqing
Sun, Jingchun
Zhang, Qingling
author_sort Wang, Hao
collection PubMed
description BACKGROUND: Colorectal cancer (CRC) is one of the most common malignancies worldwide with poor prognosis. Studies have showed that abnormal microRNA (miRNA) expression can affect CRC pathogenesis and development through targeting critical genes in cellular system. However, it is unclear about which miRNAs play central roles in CRC’s pathogenesis and how they interact with transcription factors (TFs) to regulate the cancer-related genes. RESULTS: To address this issue, we systematically explored the major regulation motifs, namely feed-forward loops (FFLs), that consist of miRNAs, TFs and CRC-related genes through the construction of a miRNA-TF regulatory network in CRC. First, we compiled CRC-related miRNAs, CRC-related genes, and human TFs from multiple data sources. Second, we identified 13,123 3-node FFLs including 25 miRNA-FFLs, 13,005 TF-FFLs and 93 composite-FFLs, and merged the 3-node FFLs to construct a CRC-related regulatory network. The network consists of three types of regulatory subnetworks (SNWs): miRNA-SNW, TF-SNW, and composite-SNW. To enhance the accuracy of the network, the results were filtered by using The Cancer Genome Atlas (TCGA) expression data in CRC, whereby we generated a core regulatory network consisting of 58 significant FFLs. We then applied a hub identification strategy to the significant FFLs and found 5 significant components, including two miRNAs (hsa-miR-25 and hsa-miR-31), two genes (ADAMTSL3 and AXIN1) and one TF (BRCA1). The follow up prognosis analysis indicated all of the 5 significant components having good prediction of overall survival of CRC patients. CONCLUSIONS: In summary, we generated a CRC-specific miRNA-TF regulatory network, which is helpful to understand the complex CRC regulatory mechanisms and guide clinical treatment. The discovered 5 regulators might have critical roles in CRC pathogenesis and warrant future investigation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-017-1796-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-55814712017-09-06 Investigating MicroRNA and transcription factor co-regulatory networks in colorectal cancer Wang, Hao Luo, Jiamao Liu, Chun Niu, Huilin Wang, Jing Liu, Qi Zhao, Zhongming Xu, Hua Ding, Yanqing Sun, Jingchun Zhang, Qingling BMC Bioinformatics Research Article BACKGROUND: Colorectal cancer (CRC) is one of the most common malignancies worldwide with poor prognosis. Studies have showed that abnormal microRNA (miRNA) expression can affect CRC pathogenesis and development through targeting critical genes in cellular system. However, it is unclear about which miRNAs play central roles in CRC’s pathogenesis and how they interact with transcription factors (TFs) to regulate the cancer-related genes. RESULTS: To address this issue, we systematically explored the major regulation motifs, namely feed-forward loops (FFLs), that consist of miRNAs, TFs and CRC-related genes through the construction of a miRNA-TF regulatory network in CRC. First, we compiled CRC-related miRNAs, CRC-related genes, and human TFs from multiple data sources. Second, we identified 13,123 3-node FFLs including 25 miRNA-FFLs, 13,005 TF-FFLs and 93 composite-FFLs, and merged the 3-node FFLs to construct a CRC-related regulatory network. The network consists of three types of regulatory subnetworks (SNWs): miRNA-SNW, TF-SNW, and composite-SNW. To enhance the accuracy of the network, the results were filtered by using The Cancer Genome Atlas (TCGA) expression data in CRC, whereby we generated a core regulatory network consisting of 58 significant FFLs. We then applied a hub identification strategy to the significant FFLs and found 5 significant components, including two miRNAs (hsa-miR-25 and hsa-miR-31), two genes (ADAMTSL3 and AXIN1) and one TF (BRCA1). The follow up prognosis analysis indicated all of the 5 significant components having good prediction of overall survival of CRC patients. CONCLUSIONS: In summary, we generated a CRC-specific miRNA-TF regulatory network, which is helpful to understand the complex CRC regulatory mechanisms and guide clinical treatment. The discovered 5 regulators might have critical roles in CRC pathogenesis and warrant future investigation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-017-1796-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-09-02 /pmc/articles/PMC5581471/ /pubmed/28865443 http://dx.doi.org/10.1186/s12859-017-1796-4 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wang, Hao
Luo, Jiamao
Liu, Chun
Niu, Huilin
Wang, Jing
Liu, Qi
Zhao, Zhongming
Xu, Hua
Ding, Yanqing
Sun, Jingchun
Zhang, Qingling
Investigating MicroRNA and transcription factor co-regulatory networks in colorectal cancer
title Investigating MicroRNA and transcription factor co-regulatory networks in colorectal cancer
title_full Investigating MicroRNA and transcription factor co-regulatory networks in colorectal cancer
title_fullStr Investigating MicroRNA and transcription factor co-regulatory networks in colorectal cancer
title_full_unstemmed Investigating MicroRNA and transcription factor co-regulatory networks in colorectal cancer
title_short Investigating MicroRNA and transcription factor co-regulatory networks in colorectal cancer
title_sort investigating microrna and transcription factor co-regulatory networks in colorectal cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5581471/
https://www.ncbi.nlm.nih.gov/pubmed/28865443
http://dx.doi.org/10.1186/s12859-017-1796-4
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