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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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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. |
format | Online Article Text |
id | pubmed-5581471 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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