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Identification of four novel hub genes as monitoring biomarkers for colorectal cancer
BACKGROUND: It must be admitted that the incidence of colorectal cancer (CRC) was on the rise all over the world, but the related treatment had not caught up. Further research on the underlying pathogenesis of CRC was conducive to improving the survival status of current CRC patients. METHODS: Diffe...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801129/ https://www.ncbi.nlm.nih.gov/pubmed/35093172 http://dx.doi.org/10.1186/s41065-021-00216-7 |
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author | Luo, Danqing Yang, Jing Liu, Junji Yong, Xia Wang, Zhimin |
author_facet | Luo, Danqing Yang, Jing Liu, Junji Yong, Xia Wang, Zhimin |
author_sort | Luo, Danqing |
collection | PubMed |
description | BACKGROUND: It must be admitted that the incidence of colorectal cancer (CRC) was on the rise all over the world, but the related treatment had not caught up. Further research on the underlying pathogenesis of CRC was conducive to improving the survival status of current CRC patients. METHODS: Differentially expressed genes (DEGs) screening were conducted based on “limma” and “RobustRankAggreg” package of R software. Weighted gene co-expression network analysis (WGCNA) was performed in the integrated DEGs that from The Cancer Genome Atlas (TCGA), and all samples of validation were from Gene Expression Omnlbus (GEO) dataset. RESULTS: The terms obtained in the functional annotation for primary DEGs indicated that they were associated with CRC. The MEyellow stand out whereby showed the significant correlation with clinical feature (disease), and 4 hub genes, including ABCC13, AMPD1, SCNN1B and TMIGD1, were identified in yellow module. Nine datasets from Gene Expression Omnibus database confirmed these four genes were significantly down-regulated and the survival estimates for the low-expression group of these genes were lower than for the high-expression group in Kaplan-Meier survival analysis section. MEXPRESS suggested that down-regulation of some top hub genes may be caused by hypermethylation. Receiver operating characteristic curves indicated that these genes had certain diagnostic efficacy. Moreover, tumor-infiltrating immune cells and gene set enrichment analysis for hub genes suggested that there were some associations between these genes and the pathogenesis of CRC. CONCLUSION: This study identified modules that were significantly associated with CRC, four novel hub genes, and further analysis of these genes. This may provide a little new insights and directions into the potential pathogenesis of CRC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41065-021-00216-7. |
format | Online Article Text |
id | pubmed-8801129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88011292022-02-02 Identification of four novel hub genes as monitoring biomarkers for colorectal cancer Luo, Danqing Yang, Jing Liu, Junji Yong, Xia Wang, Zhimin Hereditas Research BACKGROUND: It must be admitted that the incidence of colorectal cancer (CRC) was on the rise all over the world, but the related treatment had not caught up. Further research on the underlying pathogenesis of CRC was conducive to improving the survival status of current CRC patients. METHODS: Differentially expressed genes (DEGs) screening were conducted based on “limma” and “RobustRankAggreg” package of R software. Weighted gene co-expression network analysis (WGCNA) was performed in the integrated DEGs that from The Cancer Genome Atlas (TCGA), and all samples of validation were from Gene Expression Omnlbus (GEO) dataset. RESULTS: The terms obtained in the functional annotation for primary DEGs indicated that they were associated with CRC. The MEyellow stand out whereby showed the significant correlation with clinical feature (disease), and 4 hub genes, including ABCC13, AMPD1, SCNN1B and TMIGD1, were identified in yellow module. Nine datasets from Gene Expression Omnibus database confirmed these four genes were significantly down-regulated and the survival estimates for the low-expression group of these genes were lower than for the high-expression group in Kaplan-Meier survival analysis section. MEXPRESS suggested that down-regulation of some top hub genes may be caused by hypermethylation. Receiver operating characteristic curves indicated that these genes had certain diagnostic efficacy. Moreover, tumor-infiltrating immune cells and gene set enrichment analysis for hub genes suggested that there were some associations between these genes and the pathogenesis of CRC. CONCLUSION: This study identified modules that were significantly associated with CRC, four novel hub genes, and further analysis of these genes. This may provide a little new insights and directions into the potential pathogenesis of CRC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41065-021-00216-7. BioMed Central 2022-01-29 /pmc/articles/PMC8801129/ /pubmed/35093172 http://dx.doi.org/10.1186/s41065-021-00216-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Luo, Danqing Yang, Jing Liu, Junji Yong, Xia Wang, Zhimin Identification of four novel hub genes as monitoring biomarkers for colorectal cancer |
title | Identification of four novel hub genes as monitoring biomarkers for colorectal cancer |
title_full | Identification of four novel hub genes as monitoring biomarkers for colorectal cancer |
title_fullStr | Identification of four novel hub genes as monitoring biomarkers for colorectal cancer |
title_full_unstemmed | Identification of four novel hub genes as monitoring biomarkers for colorectal cancer |
title_short | Identification of four novel hub genes as monitoring biomarkers for colorectal cancer |
title_sort | identification of four novel hub genes as monitoring biomarkers for colorectal cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801129/ https://www.ncbi.nlm.nih.gov/pubmed/35093172 http://dx.doi.org/10.1186/s41065-021-00216-7 |
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