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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Yuanbin, Qian, Hongyan, He, Xiao, Zhang, Jing, Xue, Song, Wu, Yumeng, Chen, Jian, Wu, Xuming, Zhang, Suqing
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