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Integrated bioinformatics identifies the dysregulation induced by aberrant gene methylation in colorectal carcinoma
Colorectal carcinoma (CRC) is one of the most common cancers, and is associated with a poor clinical outcome. The key genes and potential prognostic markers in colorectal carcinoma remain to be identified and explored for clinical application. DNA expression/methylation profiles were downloaded from...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Chongqing Medical University
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209361/ https://www.ncbi.nlm.nih.gov/pubmed/34179314 http://dx.doi.org/10.1016/j.gendis.2020.04.008 |
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author | Ye, Zhenyu Li, Yecheng Xie, Jiaming Feng, Zhenyu Yang, Xiaodong Wu, Yong Pu, Yuwei Gao, Jiawei Xu, Xiangrong Zhu, Zhaobi Li, Wei Chen, Wei Xing, Chungen |
author_facet | Ye, Zhenyu Li, Yecheng Xie, Jiaming Feng, Zhenyu Yang, Xiaodong Wu, Yong Pu, Yuwei Gao, Jiawei Xu, Xiangrong Zhu, Zhaobi Li, Wei Chen, Wei Xing, Chungen |
author_sort | Ye, Zhenyu |
collection | PubMed |
description | Colorectal carcinoma (CRC) is one of the most common cancers, and is associated with a poor clinical outcome. The key genes and potential prognostic markers in colorectal carcinoma remain to be identified and explored for clinical application. DNA expression/methylation profiles were downloaded from the Gene Expression Omnibus (GEO) database to identify differentially expressed/methylated genes (DEGs and DEMs). A total of 255 genes and 372 genes were identified as being up-regulated and down-regulated, respectively, in GSE113513, GSE81558, and GSE89076. There were a total of 3350 hypermethylated genes and 443 hypomethylated genes identified in GSE48684. Twenty genes were found to be hypermethylated as well as down-regulated, and a functional enrichment analysis revealed that these genes were mainly involved in cancer-related pathways. Among these 20 genes, GPM6A, HAND2 and C2orf40 were related to poor outcomes in cancer patients based on a survival analysis. Concurrent decreases of GPM6A, HAND2 and C2orf40 protein expression were observed in highly-differentiated colorectal carcinoma tissues, and higher expression levels were found in undifferentiated or minimally-differentiated colorectal carcinoma tissues. In conclusion, 20 genes were found to be downregulated and hypermethylated in CRC, among which GPM6A, HAND2 and C2orf40 were explored for their potential prognostic value. |
format | Online Article Text |
id | pubmed-8209361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Chongqing Medical University |
record_format | MEDLINE/PubMed |
spelling | pubmed-82093612021-06-25 Integrated bioinformatics identifies the dysregulation induced by aberrant gene methylation in colorectal carcinoma Ye, Zhenyu Li, Yecheng Xie, Jiaming Feng, Zhenyu Yang, Xiaodong Wu, Yong Pu, Yuwei Gao, Jiawei Xu, Xiangrong Zhu, Zhaobi Li, Wei Chen, Wei Xing, Chungen Genes Dis Full Length Article Colorectal carcinoma (CRC) is one of the most common cancers, and is associated with a poor clinical outcome. The key genes and potential prognostic markers in colorectal carcinoma remain to be identified and explored for clinical application. DNA expression/methylation profiles were downloaded from the Gene Expression Omnibus (GEO) database to identify differentially expressed/methylated genes (DEGs and DEMs). A total of 255 genes and 372 genes were identified as being up-regulated and down-regulated, respectively, in GSE113513, GSE81558, and GSE89076. There were a total of 3350 hypermethylated genes and 443 hypomethylated genes identified in GSE48684. Twenty genes were found to be hypermethylated as well as down-regulated, and a functional enrichment analysis revealed that these genes were mainly involved in cancer-related pathways. Among these 20 genes, GPM6A, HAND2 and C2orf40 were related to poor outcomes in cancer patients based on a survival analysis. Concurrent decreases of GPM6A, HAND2 and C2orf40 protein expression were observed in highly-differentiated colorectal carcinoma tissues, and higher expression levels were found in undifferentiated or minimally-differentiated colorectal carcinoma tissues. In conclusion, 20 genes were found to be downregulated and hypermethylated in CRC, among which GPM6A, HAND2 and C2orf40 were explored for their potential prognostic value. Chongqing Medical University 2020-05-24 /pmc/articles/PMC8209361/ /pubmed/34179314 http://dx.doi.org/10.1016/j.gendis.2020.04.008 Text en © 2021 Chongqing Medical University. Production and hosting by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Full Length Article Ye, Zhenyu Li, Yecheng Xie, Jiaming Feng, Zhenyu Yang, Xiaodong Wu, Yong Pu, Yuwei Gao, Jiawei Xu, Xiangrong Zhu, Zhaobi Li, Wei Chen, Wei Xing, Chungen Integrated bioinformatics identifies the dysregulation induced by aberrant gene methylation in colorectal carcinoma |
title | Integrated bioinformatics identifies the dysregulation induced by aberrant gene methylation in colorectal carcinoma |
title_full | Integrated bioinformatics identifies the dysregulation induced by aberrant gene methylation in colorectal carcinoma |
title_fullStr | Integrated bioinformatics identifies the dysregulation induced by aberrant gene methylation in colorectal carcinoma |
title_full_unstemmed | Integrated bioinformatics identifies the dysregulation induced by aberrant gene methylation in colorectal carcinoma |
title_short | Integrated bioinformatics identifies the dysregulation induced by aberrant gene methylation in colorectal carcinoma |
title_sort | integrated bioinformatics identifies the dysregulation induced by aberrant gene methylation in colorectal carcinoma |
topic | Full Length Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209361/ https://www.ncbi.nlm.nih.gov/pubmed/34179314 http://dx.doi.org/10.1016/j.gendis.2020.04.008 |
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