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Network analysis based on TCGA reveals hub genes in colon cancer

Colorectal cancer (CRC) is the third most widespread cancer in the world. Although many advances have been made in molecular biology, novel approaches are still required to reveal molecular mechanisms for the diagnosis and therapy of colon cancer. In this study, we aimed to determine and analyse the...

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Autores principales: Wu, Fenzan, Yuan, Guoping, Chen, Junjie, Wang, Chengzu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611503/
https://www.ncbi.nlm.nih.gov/pubmed/28947883
http://dx.doi.org/10.5114/wo.2017.68622
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author Wu, Fenzan
Yuan, Guoping
Chen, Junjie
Wang, Chengzu
author_facet Wu, Fenzan
Yuan, Guoping
Chen, Junjie
Wang, Chengzu
author_sort Wu, Fenzan
collection PubMed
description Colorectal cancer (CRC) is the third most widespread cancer in the world. Although many advances have been made in molecular biology, novel approaches are still required to reveal molecular mechanisms for the diagnosis and therapy of colon cancer. In this study, we aimed to determine and analyse the hub genes of CRC. First, we explored the mRNA and microRNA (miRNA) expression profiles of colon carcinoma, then we screened target genes of differentially expressed miRNAs and obtained the intersection between differently expressed genes and target genes. Gene Ontology (GO) classification and KEGG pathway analysis of differently expressed genes were performed, and gene-miRNA and TF-gene-miRNA networks were constructed to identify hub genes, miRNAs, and TFs. In total, 3436 significant differentially expressed genes (1709 upregulated and 1727 downregulated) and 216 differentially expressed miRNAs (99 upregulated and 117 downregulated) were identified in colon cancer. These differentially expressed genes were significantly enriched in GO terms and KEGG pathways, such as cell proliferation, cell adhesion, and cytokine-cytokine receptor interaction signalling pathways. GCNT4, EDN2, and so on were located in the central hub of the co-expression network. MYC, WT1, mir-34a, and LEF1 were located in the central hub of the network of TF-gene-miRNA. These findings increase our understanding of the molecular mechanisms of colon cancer and will aid in identifying potential targets for diagnostic and therapeutic usage.
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spelling pubmed-56115032017-09-25 Network analysis based on TCGA reveals hub genes in colon cancer Wu, Fenzan Yuan, Guoping Chen, Junjie Wang, Chengzu Contemp Oncol (Pozn) Original Paper Colorectal cancer (CRC) is the third most widespread cancer in the world. Although many advances have been made in molecular biology, novel approaches are still required to reveal molecular mechanisms for the diagnosis and therapy of colon cancer. In this study, we aimed to determine and analyse the hub genes of CRC. First, we explored the mRNA and microRNA (miRNA) expression profiles of colon carcinoma, then we screened target genes of differentially expressed miRNAs and obtained the intersection between differently expressed genes and target genes. Gene Ontology (GO) classification and KEGG pathway analysis of differently expressed genes were performed, and gene-miRNA and TF-gene-miRNA networks were constructed to identify hub genes, miRNAs, and TFs. In total, 3436 significant differentially expressed genes (1709 upregulated and 1727 downregulated) and 216 differentially expressed miRNAs (99 upregulated and 117 downregulated) were identified in colon cancer. These differentially expressed genes were significantly enriched in GO terms and KEGG pathways, such as cell proliferation, cell adhesion, and cytokine-cytokine receptor interaction signalling pathways. GCNT4, EDN2, and so on were located in the central hub of the co-expression network. MYC, WT1, mir-34a, and LEF1 were located in the central hub of the network of TF-gene-miRNA. These findings increase our understanding of the molecular mechanisms of colon cancer and will aid in identifying potential targets for diagnostic and therapeutic usage. Termedia Publishing House 2017-06-30 2017 /pmc/articles/PMC5611503/ /pubmed/28947883 http://dx.doi.org/10.5114/wo.2017.68622 Text en Copyright: © 2017 Termedia Sp. z o. o. http://creativecommons.org/licenses/by-nc-sa/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
spellingShingle Original Paper
Wu, Fenzan
Yuan, Guoping
Chen, Junjie
Wang, Chengzu
Network analysis based on TCGA reveals hub genes in colon cancer
title Network analysis based on TCGA reveals hub genes in colon cancer
title_full Network analysis based on TCGA reveals hub genes in colon cancer
title_fullStr Network analysis based on TCGA reveals hub genes in colon cancer
title_full_unstemmed Network analysis based on TCGA reveals hub genes in colon cancer
title_short Network analysis based on TCGA reveals hub genes in colon cancer
title_sort network analysis based on tcga reveals hub genes in colon cancer
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611503/
https://www.ncbi.nlm.nih.gov/pubmed/28947883
http://dx.doi.org/10.5114/wo.2017.68622
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