Cargando…
Screening of the Key Genes for the Progression of Liver Cirrhosis to Hepatocellular Carcinoma Based on Bioinformatics
Hepatocellular carcinoma (HCC), which is among the most globally prevalent cancers, is strongly associated with liver cirrhosis. Using a bioinformatics approach, we have identified and investigated the hub genes responsible for the progression of cirrhosis into HCC. We analyzed the Gene Expression O...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529408/ https://www.ncbi.nlm.nih.gov/pubmed/36199789 http://dx.doi.org/10.1155/2022/2515513 |
_version_ | 1784801486303133696 |
---|---|
author | Chen, Yuanbin Qian, Hongyan He, Xiao Zhang, Jing Xue, Song Wu, Yumeng Chen, Jian Wu, Xuming Zhang, Suqing |
author_facet | Chen, Yuanbin Qian, Hongyan He, Xiao Zhang, Jing Xue, Song Wu, Yumeng Chen, Jian Wu, Xuming Zhang, Suqing |
author_sort | Chen, Yuanbin |
collection | PubMed |
description | Hepatocellular carcinoma (HCC), which is among the most globally prevalent cancers, is strongly associated with liver cirrhosis. Using a bioinformatics approach, we have identified and investigated the hub genes responsible for the progression of cirrhosis into HCC. We analyzed the Gene Expression Omnibus (GEO) microarray datasets, GSE25097 and GSE17549, to identify differentially expressed genes (DEGs) in these two conditions and also performed protein-protein interaction (PPI) network analysis. STRING database and Cytoscape software were used to analyze the modules and locate hub genes following which the connections between hub genes and the transition from cirrhosis to HCC, progression of HCC, and prognosis of HCC were investigated. We used the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis to detect the molecular mechanisms underlying the action of the primary hub genes. In all, 239 DEGs were obtained, with 94 of them showing evidence of upregulation and 145 showing evidence of downregulation in HCC tissues as compared to cirrhotic liver tissues. We identified six hub genes, namely, BUB1B, NUSAP1, TTK, HMMR, CCNA2, and KIF2C, which were upregulated and had a high diagnostic value for HCC. Besides, these six hub genes were positively related to immune cell infiltration. Since these genes may play a direct role in the progression of cirrhosis to HCC, they can be considered as potential novel molecular indicators for the onset and development of HCC. |
format | Online Article Text |
id | pubmed-9529408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-95294082022-10-04 Screening of the Key Genes for the Progression of Liver Cirrhosis to Hepatocellular Carcinoma Based on Bioinformatics Chen, Yuanbin Qian, Hongyan He, Xiao Zhang, Jing Xue, Song Wu, Yumeng Chen, Jian Wu, Xuming Zhang, Suqing J Oncol Research Article Hepatocellular carcinoma (HCC), which is among the most globally prevalent cancers, is strongly associated with liver cirrhosis. Using a bioinformatics approach, we have identified and investigated the hub genes responsible for the progression of cirrhosis into HCC. We analyzed the Gene Expression Omnibus (GEO) microarray datasets, GSE25097 and GSE17549, to identify differentially expressed genes (DEGs) in these two conditions and also performed protein-protein interaction (PPI) network analysis. STRING database and Cytoscape software were used to analyze the modules and locate hub genes following which the connections between hub genes and the transition from cirrhosis to HCC, progression of HCC, and prognosis of HCC were investigated. We used the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis to detect the molecular mechanisms underlying the action of the primary hub genes. In all, 239 DEGs were obtained, with 94 of them showing evidence of upregulation and 145 showing evidence of downregulation in HCC tissues as compared to cirrhotic liver tissues. We identified six hub genes, namely, BUB1B, NUSAP1, TTK, HMMR, CCNA2, and KIF2C, which were upregulated and had a high diagnostic value for HCC. Besides, these six hub genes were positively related to immune cell infiltration. Since these genes may play a direct role in the progression of cirrhosis to HCC, they can be considered as potential novel molecular indicators for the onset and development of HCC. Hindawi 2022-09-26 /pmc/articles/PMC9529408/ /pubmed/36199789 http://dx.doi.org/10.1155/2022/2515513 Text en Copyright © 2022 Yuanbin Chen et al. https://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 Chen, Yuanbin Qian, Hongyan He, Xiao Zhang, Jing Xue, Song Wu, Yumeng Chen, Jian Wu, Xuming Zhang, Suqing Screening of the Key Genes for the Progression of Liver Cirrhosis to Hepatocellular Carcinoma Based on Bioinformatics |
title | Screening of the Key Genes for the Progression of Liver Cirrhosis to Hepatocellular Carcinoma Based on Bioinformatics |
title_full | Screening of the Key Genes for the Progression of Liver Cirrhosis to Hepatocellular Carcinoma Based on Bioinformatics |
title_fullStr | Screening of the Key Genes for the Progression of Liver Cirrhosis to Hepatocellular Carcinoma Based on Bioinformatics |
title_full_unstemmed | Screening of the Key Genes for the Progression of Liver Cirrhosis to Hepatocellular Carcinoma Based on Bioinformatics |
title_short | Screening of the Key Genes for the Progression of Liver Cirrhosis to Hepatocellular Carcinoma Based on Bioinformatics |
title_sort | screening of the key genes for the progression of liver cirrhosis to hepatocellular carcinoma based on bioinformatics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529408/ https://www.ncbi.nlm.nih.gov/pubmed/36199789 http://dx.doi.org/10.1155/2022/2515513 |
work_keys_str_mv | AT chenyuanbin screeningofthekeygenesfortheprogressionoflivercirrhosistohepatocellularcarcinomabasedonbioinformatics AT qianhongyan screeningofthekeygenesfortheprogressionoflivercirrhosistohepatocellularcarcinomabasedonbioinformatics AT hexiao screeningofthekeygenesfortheprogressionoflivercirrhosistohepatocellularcarcinomabasedonbioinformatics AT zhangjing screeningofthekeygenesfortheprogressionoflivercirrhosistohepatocellularcarcinomabasedonbioinformatics AT xuesong screeningofthekeygenesfortheprogressionoflivercirrhosistohepatocellularcarcinomabasedonbioinformatics AT wuyumeng screeningofthekeygenesfortheprogressionoflivercirrhosistohepatocellularcarcinomabasedonbioinformatics AT chenjian screeningofthekeygenesfortheprogressionoflivercirrhosistohepatocellularcarcinomabasedonbioinformatics AT wuxuming screeningofthekeygenesfortheprogressionoflivercirrhosistohepatocellularcarcinomabasedonbioinformatics AT zhangsuqing screeningofthekeygenesfortheprogressionoflivercirrhosistohepatocellularcarcinomabasedonbioinformatics |