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Identification of the hub gene BUB1B in hepatocellular carcinoma via bioinformatic analysis and in vitro experiments
BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most commonly diagnosed cancers and the fourth leading cause of cancer-related deaths in the world. Although the treatment of HCC has made great progress in recent years, the therapeutic effects on HCC are still unsatisfactory due to difficult...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908873/ https://www.ncbi.nlm.nih.gov/pubmed/33665036 http://dx.doi.org/10.7717/peerj.10943 |
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author | Fu, Jie Zhang, Xiao Yan, Likun Shao, Yaoli Liu, Xinxu Chu, Yuan Xu, Ge Xu, Xundi |
author_facet | Fu, Jie Zhang, Xiao Yan, Likun Shao, Yaoli Liu, Xinxu Chu, Yuan Xu, Ge Xu, Xundi |
author_sort | Fu, Jie |
collection | PubMed |
description | BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most commonly diagnosed cancers and the fourth leading cause of cancer-related deaths in the world. Although the treatment of HCC has made great progress in recent years, the therapeutic effects on HCC are still unsatisfactory due to difficulty in early diagnosis, chemoresistance and high recurrence rate post-surgery. METHODS: In this study, we identified differentially expressed genes (DEGs) based on four Gene Expression Omnibus (GEO) datasets (GSE45267, GSE98383, GSE101685 and GSE112790) between HCC and normal hepatic tissues. A protein–protein interaction (PPI) network was established to identify the central nodes associated with HCC. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of the central nodes were conducted to find the hub genes. The expression levels of the hub genes were validated based on the ONCOMINE and Gene Expression Profiling Interactive Analysis (GEPIA) databases. Additionally, the genetic alterations of the hub genes were evaluated by cBioPortal. The role of the hub genes on the overall survival (OS) and relapse survival (RFS) of HCC patients was evaluated by Kaplan-Meier plotter. At last, the mechanistic role of the hub genes was illustrated by in vitro experiments. RESULTS: We found the following seven hub genes: BUB1B, CCNB1, CCNB2, CDC20, CDK1, MAD2L1 and RRM2 using integrated bioinformatics analysis. All of the hub genes were significantly upregulated in HCC tissues. And the seven hub genes were associated with the OS and RFS of HCC patients. Finally, in vitro experiments indicated that BUB1B played roles in HCC cell proliferation, migration, invasion, apoptosis and cell cycle by partially affecting mitochondrial functions. CONCLUSIONS: In summary, we identified seven hub genes that were associated with the expression and prognosis of HCC. The mechanistic oncogenic role of BUB1B in HCC was first illustrated. BUB1B might play an important role in HCC and could be potential therapeutic targets for HCC. |
format | Online Article Text |
id | pubmed-7908873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79088732021-03-03 Identification of the hub gene BUB1B in hepatocellular carcinoma via bioinformatic analysis and in vitro experiments Fu, Jie Zhang, Xiao Yan, Likun Shao, Yaoli Liu, Xinxu Chu, Yuan Xu, Ge Xu, Xundi PeerJ Bioinformatics BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most commonly diagnosed cancers and the fourth leading cause of cancer-related deaths in the world. Although the treatment of HCC has made great progress in recent years, the therapeutic effects on HCC are still unsatisfactory due to difficulty in early diagnosis, chemoresistance and high recurrence rate post-surgery. METHODS: In this study, we identified differentially expressed genes (DEGs) based on four Gene Expression Omnibus (GEO) datasets (GSE45267, GSE98383, GSE101685 and GSE112790) between HCC and normal hepatic tissues. A protein–protein interaction (PPI) network was established to identify the central nodes associated with HCC. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of the central nodes were conducted to find the hub genes. The expression levels of the hub genes were validated based on the ONCOMINE and Gene Expression Profiling Interactive Analysis (GEPIA) databases. Additionally, the genetic alterations of the hub genes were evaluated by cBioPortal. The role of the hub genes on the overall survival (OS) and relapse survival (RFS) of HCC patients was evaluated by Kaplan-Meier plotter. At last, the mechanistic role of the hub genes was illustrated by in vitro experiments. RESULTS: We found the following seven hub genes: BUB1B, CCNB1, CCNB2, CDC20, CDK1, MAD2L1 and RRM2 using integrated bioinformatics analysis. All of the hub genes were significantly upregulated in HCC tissues. And the seven hub genes were associated with the OS and RFS of HCC patients. Finally, in vitro experiments indicated that BUB1B played roles in HCC cell proliferation, migration, invasion, apoptosis and cell cycle by partially affecting mitochondrial functions. CONCLUSIONS: In summary, we identified seven hub genes that were associated with the expression and prognosis of HCC. The mechanistic oncogenic role of BUB1B in HCC was first illustrated. BUB1B might play an important role in HCC and could be potential therapeutic targets for HCC. PeerJ Inc. 2021-02-23 /pmc/articles/PMC7908873/ /pubmed/33665036 http://dx.doi.org/10.7717/peerj.10943 Text en ©2021 Fu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Fu, Jie Zhang, Xiao Yan, Likun Shao, Yaoli Liu, Xinxu Chu, Yuan Xu, Ge Xu, Xundi Identification of the hub gene BUB1B in hepatocellular carcinoma via bioinformatic analysis and in vitro experiments |
title | Identification of the hub gene BUB1B in hepatocellular carcinoma via bioinformatic analysis and in vitro experiments |
title_full | Identification of the hub gene BUB1B in hepatocellular carcinoma via bioinformatic analysis and in vitro experiments |
title_fullStr | Identification of the hub gene BUB1B in hepatocellular carcinoma via bioinformatic analysis and in vitro experiments |
title_full_unstemmed | Identification of the hub gene BUB1B in hepatocellular carcinoma via bioinformatic analysis and in vitro experiments |
title_short | Identification of the hub gene BUB1B in hepatocellular carcinoma via bioinformatic analysis and in vitro experiments |
title_sort | identification of the hub gene bub1b in hepatocellular carcinoma via bioinformatic analysis and in vitro experiments |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908873/ https://www.ncbi.nlm.nih.gov/pubmed/33665036 http://dx.doi.org/10.7717/peerj.10943 |
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