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Identification and Verification of Core Genes in Colorectal Cancer
Colorectal cancer, a malignant neoplasm that occurs in the colorectal mucosa, is one of the most common types of gastrointestinal cancer. Colorectal cancer has been studied extensively, but the molecular mechanisms of this malignancy have not been characterized. This study identified and verified co...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7232680/ https://www.ncbi.nlm.nih.gov/pubmed/32462020 http://dx.doi.org/10.1155/2020/8082697 |
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author | Xu, Houxi Ma, Yuzhu Zhang, Jinzhi Gu, Jialin Jing, Xinyue Lu, Shengfeng Fu, Shuping Huo, Jiege |
author_facet | Xu, Houxi Ma, Yuzhu Zhang, Jinzhi Gu, Jialin Jing, Xinyue Lu, Shengfeng Fu, Shuping Huo, Jiege |
author_sort | Xu, Houxi |
collection | PubMed |
description | Colorectal cancer, a malignant neoplasm that occurs in the colorectal mucosa, is one of the most common types of gastrointestinal cancer. Colorectal cancer has been studied extensively, but the molecular mechanisms of this malignancy have not been characterized. This study identified and verified core genes associated with colorectal cancer using integrated bioinformatics analysis. Three gene expression profiles (GSE15781, GSE110223, and GSE110224) were downloaded from the Gene Expression Omnibus (GEO) databases. A total of 87 common differentially expressed genes (DEGs) among GSE15781, GSE110223, and GSE110224 were identified, including 19 upregulated genes and 68 downregulated genes. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis was performed for common DEGs using clusterProfiler. These common DEGs were significantly involved in cancer-associated functions and signaling pathways. Then, we constructed protein-protein interaction networks of these common DEGs using Cytoscape software, which resulted in the identification of the following 10 core genes: SST, PYY, CXCL1, CXCL8, CXCL3, ZG16, AQP8, CLCA4, MS4A12, and GUCA2A. Analysis using qRT-PCR has shown that SST, CXCL8, and MS4A12 were significant differentially expressed between colorectal cancer tissues and normal colorectal tissues (P < 0.05). Gene Expression Profiling Interactive Analysis (GEPIA) overall survival (OS) has shown that low expressions of AQP8, ZG16, CXCL3, and CXCL8 may predict poor survival outcome in colorectal cancer. In conclusion, the core genes identified in this study contributed to the understanding of the molecular mechanisms involved in colorectal cancer development and may be targets for early diagnosis, prevention, and treatment of colorectal cancer. |
format | Online Article Text |
id | pubmed-7232680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-72326802020-05-26 Identification and Verification of Core Genes in Colorectal Cancer Xu, Houxi Ma, Yuzhu Zhang, Jinzhi Gu, Jialin Jing, Xinyue Lu, Shengfeng Fu, Shuping Huo, Jiege Biomed Res Int Research Article Colorectal cancer, a malignant neoplasm that occurs in the colorectal mucosa, is one of the most common types of gastrointestinal cancer. Colorectal cancer has been studied extensively, but the molecular mechanisms of this malignancy have not been characterized. This study identified and verified core genes associated with colorectal cancer using integrated bioinformatics analysis. Three gene expression profiles (GSE15781, GSE110223, and GSE110224) were downloaded from the Gene Expression Omnibus (GEO) databases. A total of 87 common differentially expressed genes (DEGs) among GSE15781, GSE110223, and GSE110224 were identified, including 19 upregulated genes and 68 downregulated genes. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis was performed for common DEGs using clusterProfiler. These common DEGs were significantly involved in cancer-associated functions and signaling pathways. Then, we constructed protein-protein interaction networks of these common DEGs using Cytoscape software, which resulted in the identification of the following 10 core genes: SST, PYY, CXCL1, CXCL8, CXCL3, ZG16, AQP8, CLCA4, MS4A12, and GUCA2A. Analysis using qRT-PCR has shown that SST, CXCL8, and MS4A12 were significant differentially expressed between colorectal cancer tissues and normal colorectal tissues (P < 0.05). Gene Expression Profiling Interactive Analysis (GEPIA) overall survival (OS) has shown that low expressions of AQP8, ZG16, CXCL3, and CXCL8 may predict poor survival outcome in colorectal cancer. In conclusion, the core genes identified in this study contributed to the understanding of the molecular mechanisms involved in colorectal cancer development and may be targets for early diagnosis, prevention, and treatment of colorectal cancer. Hindawi 2020-05-08 /pmc/articles/PMC7232680/ /pubmed/32462020 http://dx.doi.org/10.1155/2020/8082697 Text en Copyright © 2020 Houxi Xu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Xu, Houxi Ma, Yuzhu Zhang, Jinzhi Gu, Jialin Jing, Xinyue Lu, Shengfeng Fu, Shuping Huo, Jiege Identification and Verification of Core Genes in Colorectal Cancer |
title | Identification and Verification of Core Genes in Colorectal Cancer |
title_full | Identification and Verification of Core Genes in Colorectal Cancer |
title_fullStr | Identification and Verification of Core Genes in Colorectal Cancer |
title_full_unstemmed | Identification and Verification of Core Genes in Colorectal Cancer |
title_short | Identification and Verification of Core Genes in Colorectal Cancer |
title_sort | identification and verification of core genes in colorectal cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7232680/ https://www.ncbi.nlm.nih.gov/pubmed/32462020 http://dx.doi.org/10.1155/2020/8082697 |
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