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Transcriptomic identification of HBx-associated hub genes in hepatocellular carcinoma

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignancies around the world. Among the risk factors involved in liver carcinogenesis, hepatitis B virus (HBV) X protein (HBx) is considered to be a key regulator in hepatocarcinogenesis. Whether HBx promotes or protects against H...

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Autores principales: Ni, Zhengzhong, Lu, Jun, Huang, Weiyi, Khan, Hanif, Wu, Xuejun, Huang, Danmei, Shi, Ganggang, Niu, Yongdong, Huang, Haihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710059/
https://www.ncbi.nlm.nih.gov/pubmed/35036167
http://dx.doi.org/10.7717/peerj.12697
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author Ni, Zhengzhong
Lu, Jun
Huang, Weiyi
Khan, Hanif
Wu, Xuejun
Huang, Danmei
Shi, Ganggang
Niu, Yongdong
Huang, Haihua
author_facet Ni, Zhengzhong
Lu, Jun
Huang, Weiyi
Khan, Hanif
Wu, Xuejun
Huang, Danmei
Shi, Ganggang
Niu, Yongdong
Huang, Haihua
author_sort Ni, Zhengzhong
collection PubMed
description BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignancies around the world. Among the risk factors involved in liver carcinogenesis, hepatitis B virus (HBV) X protein (HBx) is considered to be a key regulator in hepatocarcinogenesis. Whether HBx promotes or protects against HCC remains controversial, therefore exploring new HBx-associated genes is still important. METHODS: HBx was overexpressed in HepG2, HepG2.2.15 and SMMC-7721 cell lines, primary mouse hepatocytes and livers of C57BL/6N mice. High-throughput RNA sequencing profiling of HepG2 cells with HBx overexpression and related differentially-expressed genes (DEGs), pathway enrichment analysis, protein-protein interaction networks (PPIs), overlapping analysis were conducted. In addition, Gene Expression Omnibus (GEO) and proteomic datasets of HBV-positive HCC datasets were used to verify the expression and prognosis of selected DEGs. Finally, we also evaluated the known oncogenic role of HBx by oncogenic array analysis. RESULTS: A total of 523 DEGs were obtained from HBx-overexpressing HepG2 cells. Twelve DEGs were identified and validated in cells transiently transfected with HBx and three datasets of HBV-positive HCC transcription profiles. In addition, using the Kaplan-Meier plotter database, the expression levels of the twelve different genes were further analyzed to predict patient outcomes. CONCLUSION: Among the 12 identified HBx-associated hub genes, HBV-positive HCC patients expressing ARG1 and TAT showed a good overall survival (OS) and relapse-free survival (RFS). Thus, ARG1 and TAT expression could be potential prognostic markers.
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spelling pubmed-87100592022-01-14 Transcriptomic identification of HBx-associated hub genes in hepatocellular carcinoma Ni, Zhengzhong Lu, Jun Huang, Weiyi Khan, Hanif Wu, Xuejun Huang, Danmei Shi, Ganggang Niu, Yongdong Huang, Haihua PeerJ Oncology BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignancies around the world. Among the risk factors involved in liver carcinogenesis, hepatitis B virus (HBV) X protein (HBx) is considered to be a key regulator in hepatocarcinogenesis. Whether HBx promotes or protects against HCC remains controversial, therefore exploring new HBx-associated genes is still important. METHODS: HBx was overexpressed in HepG2, HepG2.2.15 and SMMC-7721 cell lines, primary mouse hepatocytes and livers of C57BL/6N mice. High-throughput RNA sequencing profiling of HepG2 cells with HBx overexpression and related differentially-expressed genes (DEGs), pathway enrichment analysis, protein-protein interaction networks (PPIs), overlapping analysis were conducted. In addition, Gene Expression Omnibus (GEO) and proteomic datasets of HBV-positive HCC datasets were used to verify the expression and prognosis of selected DEGs. Finally, we also evaluated the known oncogenic role of HBx by oncogenic array analysis. RESULTS: A total of 523 DEGs were obtained from HBx-overexpressing HepG2 cells. Twelve DEGs were identified and validated in cells transiently transfected with HBx and three datasets of HBV-positive HCC transcription profiles. In addition, using the Kaplan-Meier plotter database, the expression levels of the twelve different genes were further analyzed to predict patient outcomes. CONCLUSION: Among the 12 identified HBx-associated hub genes, HBV-positive HCC patients expressing ARG1 and TAT showed a good overall survival (OS) and relapse-free survival (RFS). Thus, ARG1 and TAT expression could be potential prognostic markers. PeerJ Inc. 2021-12-22 /pmc/articles/PMC8710059/ /pubmed/35036167 http://dx.doi.org/10.7717/peerj.12697 Text en ©2021 Ni 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 Oncology
Ni, Zhengzhong
Lu, Jun
Huang, Weiyi
Khan, Hanif
Wu, Xuejun
Huang, Danmei
Shi, Ganggang
Niu, Yongdong
Huang, Haihua
Transcriptomic identification of HBx-associated hub genes in hepatocellular carcinoma
title Transcriptomic identification of HBx-associated hub genes in hepatocellular carcinoma
title_full Transcriptomic identification of HBx-associated hub genes in hepatocellular carcinoma
title_fullStr Transcriptomic identification of HBx-associated hub genes in hepatocellular carcinoma
title_full_unstemmed Transcriptomic identification of HBx-associated hub genes in hepatocellular carcinoma
title_short Transcriptomic identification of HBx-associated hub genes in hepatocellular carcinoma
title_sort transcriptomic identification of hbx-associated hub genes in hepatocellular carcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710059/
https://www.ncbi.nlm.nih.gov/pubmed/35036167
http://dx.doi.org/10.7717/peerj.12697
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