The Bioinformatics-Based Analysis Identifies 7 Immune-Related Genes as Prognostic Biomarkers for Colon Cancer

Colon cancer poses a great threat to human health. Currently, there is no effective treatment for colon cancer due to its complex causative factors. Immunotherapy has now become a new method for tumor treatment. In this study, 487 DEGs were screened from The Cancer Genome Atlas (TCGA) database and I...

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Autores principales:	Jie Pan, Zongqi Weng, Chaorong Xue, Bingqiang Lin, Mengxin Lin
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	colon cancer (COAD) immune-related gene (IRG) immunotherapy cancer genes Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/03cb66e3812745daa2dd13a369e6635c
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spelling	oai:doaj.org-article:03cb66e3812745daa2dd13a369e6635c2021-12-01T08:38:49ZThe Bioinformatics-Based Analysis Identifies 7 Immune-Related Genes as Prognostic Biomarkers for Colon Cancer2234-943X10.3389/fonc.2021.726701https://doaj.org/article/03cb66e3812745daa2dd13a369e6635c2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.726701/fullhttps://doaj.org/toc/2234-943XColon cancer poses a great threat to human health. Currently, there is no effective treatment for colon cancer due to its complex causative factors. Immunotherapy has now become a new method for tumor treatment. In this study, 487 DEGs were screened from The Cancer Genome Atlas (TCGA) database and ImmPort database, and GeneOntology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed. Hierarchical clustering of all samples revealed a significant correlation between colon cancer and immunity. The weighted gene co-expression network analysis (WGCNA) algorithm was used to identify key gene modules associated with immunity in colon cancer, here, module grey60 showed the highest correlation. A protein-protein interaction (PPI) network was constructed using the STRING database to screen hub genes, and subsequently, 7 immune-related genes the most closely associated with colon cancer were identified by differential expression in cancer and paracancer. Finally, a risk prediction model was developed using least absolute shrinkage and selection operator (LASSO) COX analysis, and the accuracy of the model was validated by GSE14333. This study determined that IRF4 and TNFRSF17 were immune-related genes in colon cancer, providing immune-related prognostic biomarkers for colon cancer.Jie PanZongqi WengChaorong XueBingqiang LinMengxin LinFrontiers Media S.A.articlecolon cancer (COAD)immune-related gene (IRG)immunotherapycancergenesNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	colon cancer (COAD) immune-related gene (IRG) immunotherapy cancer genes Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	colon cancer (COAD) immune-related gene (IRG) immunotherapy cancer genes Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Jie Pan Zongqi Weng Chaorong Xue Bingqiang Lin Mengxin Lin The Bioinformatics-Based Analysis Identifies 7 Immune-Related Genes as Prognostic Biomarkers for Colon Cancer
description	Colon cancer poses a great threat to human health. Currently, there is no effective treatment for colon cancer due to its complex causative factors. Immunotherapy has now become a new method for tumor treatment. In this study, 487 DEGs were screened from The Cancer Genome Atlas (TCGA) database and ImmPort database, and GeneOntology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed. Hierarchical clustering of all samples revealed a significant correlation between colon cancer and immunity. The weighted gene co-expression network analysis (WGCNA) algorithm was used to identify key gene modules associated with immunity in colon cancer, here, module grey60 showed the highest correlation. A protein-protein interaction (PPI) network was constructed using the STRING database to screen hub genes, and subsequently, 7 immune-related genes the most closely associated with colon cancer were identified by differential expression in cancer and paracancer. Finally, a risk prediction model was developed using least absolute shrinkage and selection operator (LASSO) COX analysis, and the accuracy of the model was validated by GSE14333. This study determined that IRF4 and TNFRSF17 were immune-related genes in colon cancer, providing immune-related prognostic biomarkers for colon cancer.
format	article
author	Jie Pan Zongqi Weng Chaorong Xue Bingqiang Lin Mengxin Lin
author_facet	Jie Pan Zongqi Weng Chaorong Xue Bingqiang Lin Mengxin Lin
author_sort	Jie Pan
title	The Bioinformatics-Based Analysis Identifies 7 Immune-Related Genes as Prognostic Biomarkers for Colon Cancer
title_short	The Bioinformatics-Based Analysis Identifies 7 Immune-Related Genes as Prognostic Biomarkers for Colon Cancer
title_full	The Bioinformatics-Based Analysis Identifies 7 Immune-Related Genes as Prognostic Biomarkers for Colon Cancer
title_fullStr	The Bioinformatics-Based Analysis Identifies 7 Immune-Related Genes as Prognostic Biomarkers for Colon Cancer
title_full_unstemmed	The Bioinformatics-Based Analysis Identifies 7 Immune-Related Genes as Prognostic Biomarkers for Colon Cancer
title_sort	bioinformatics-based analysis identifies 7 immune-related genes as prognostic biomarkers for colon cancer
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/03cb66e3812745daa2dd13a369e6635c
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The Bioinformatics-Based Analysis Identifies 7 Immune-Related Genes as Prognostic Biomarkers for Colon Cancer

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