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Identification of key candidate genes for colorectal cancer by bioinformatics analysis

Colorectal cancer (CRC) is one of the most common cancers of the digestive tract. Although numerous studies have been conducted to elucidate the cause of CRC, the exact mechanism of CRC development remains to be determined. To identify candidate genes that may be involved in CRC development and prog...

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Autores principales: Chen, Zhihua, Lin, Yilin, Gao, Ji, Lin, Suyong, Zheng, Yan, Liu, Yisu, Chen, Shao Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865583/
https://www.ncbi.nlm.nih.gov/pubmed/31788116
http://dx.doi.org/10.3892/ol.2019.10996
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author Chen, Zhihua
Lin, Yilin
Gao, Ji
Lin, Suyong
Zheng, Yan
Liu, Yisu
Chen, Shao Qin
author_facet Chen, Zhihua
Lin, Yilin
Gao, Ji
Lin, Suyong
Zheng, Yan
Liu, Yisu
Chen, Shao Qin
author_sort Chen, Zhihua
collection PubMed
description Colorectal cancer (CRC) is one of the most common cancers of the digestive tract. Although numerous studies have been conducted to elucidate the cause of CRC, the exact mechanism of CRC development remains to be determined. To identify candidate genes that may be involved in CRC development and progression, the microarray datasets GSE41657, GSE77953 and GSE113513 were downloaded from the Gene Expression Omnibus database. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were used for functional enrichment analysis of differentially expressed genes (DEGs). A protein-protein interaction network was constructed, and the hub genes were subjected to module analysis and identification using Search Tool for the Retrieval of Interacting Genes/Proteins and Cytoscape. A total of 142 DEGs were identified, with enriched functions and pathways in the ‘cell cycle’, ‘cell proliferation’, ‘the mitotic cell cycle’ and ‘one-carbon metabolic process’. In addition, 10 hub genes were identified, and functional analysis indicated that these genes are mainly enriched in ‘cell division’, ‘cell cycle’ and functions associated with nucleotide binding processes. Survival analysis demonstrated that DNA topoisomerase II α, cyclin-dependent kinase 1 and CDC28 protein kinase regulatory subunit 2 may be involved in cancer invasion or recurrence. The DEGs identified in the present study may help explain the molecular mechanisms of CRC development and progression.
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spelling pubmed-68655832019-11-30 Identification of key candidate genes for colorectal cancer by bioinformatics analysis Chen, Zhihua Lin, Yilin Gao, Ji Lin, Suyong Zheng, Yan Liu, Yisu Chen, Shao Qin Oncol Lett Articles Colorectal cancer (CRC) is one of the most common cancers of the digestive tract. Although numerous studies have been conducted to elucidate the cause of CRC, the exact mechanism of CRC development remains to be determined. To identify candidate genes that may be involved in CRC development and progression, the microarray datasets GSE41657, GSE77953 and GSE113513 were downloaded from the Gene Expression Omnibus database. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were used for functional enrichment analysis of differentially expressed genes (DEGs). A protein-protein interaction network was constructed, and the hub genes were subjected to module analysis and identification using Search Tool for the Retrieval of Interacting Genes/Proteins and Cytoscape. A total of 142 DEGs were identified, with enriched functions and pathways in the ‘cell cycle’, ‘cell proliferation’, ‘the mitotic cell cycle’ and ‘one-carbon metabolic process’. In addition, 10 hub genes were identified, and functional analysis indicated that these genes are mainly enriched in ‘cell division’, ‘cell cycle’ and functions associated with nucleotide binding processes. Survival analysis demonstrated that DNA topoisomerase II α, cyclin-dependent kinase 1 and CDC28 protein kinase regulatory subunit 2 may be involved in cancer invasion or recurrence. The DEGs identified in the present study may help explain the molecular mechanisms of CRC development and progression. D.A. Spandidos 2019-12 2019-10-17 /pmc/articles/PMC6865583/ /pubmed/31788116 http://dx.doi.org/10.3892/ol.2019.10996 Text en Copyright: © Chen et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Chen, Zhihua
Lin, Yilin
Gao, Ji
Lin, Suyong
Zheng, Yan
Liu, Yisu
Chen, Shao Qin
Identification of key candidate genes for colorectal cancer by bioinformatics analysis
title Identification of key candidate genes for colorectal cancer by bioinformatics analysis
title_full Identification of key candidate genes for colorectal cancer by bioinformatics analysis
title_fullStr Identification of key candidate genes for colorectal cancer by bioinformatics analysis
title_full_unstemmed Identification of key candidate genes for colorectal cancer by bioinformatics analysis
title_short Identification of key candidate genes for colorectal cancer by bioinformatics analysis
title_sort identification of key candidate genes for colorectal cancer by bioinformatics analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865583/
https://www.ncbi.nlm.nih.gov/pubmed/31788116
http://dx.doi.org/10.3892/ol.2019.10996
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