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Identification of Key Genes Associated With the Process of Hepatitis B Inflammation and Cancer Transformation by Integrated Bioinformatics Analysis
BACKGROUND: Hepatocellular carcinoma (HCC) has become the main cause of cancer death worldwide. More than half of hepatocellular carcinoma developed from hepatitis B virus infection (HBV). The purpose of this study is to find the key genes in the transformation process of liver inflammation and canc...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440810/ https://www.ncbi.nlm.nih.gov/pubmed/34539726 http://dx.doi.org/10.3389/fgene.2021.654517 |
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author | Zhang, Jingyuan Liu, Xinkui Zhou, Wei Lu, Shan Wu, Chao Wu, Zhishan Liu, Runping Li, Xiaojiaoyang Wu, Jiarui Liu, Yingying Guo, Siyu Jia, Shanshan Zhang, Xiaomeng Wang, Miaomiao |
author_facet | Zhang, Jingyuan Liu, Xinkui Zhou, Wei Lu, Shan Wu, Chao Wu, Zhishan Liu, Runping Li, Xiaojiaoyang Wu, Jiarui Liu, Yingying Guo, Siyu Jia, Shanshan Zhang, Xiaomeng Wang, Miaomiao |
author_sort | Zhang, Jingyuan |
collection | PubMed |
description | BACKGROUND: Hepatocellular carcinoma (HCC) has become the main cause of cancer death worldwide. More than half of hepatocellular carcinoma developed from hepatitis B virus infection (HBV). The purpose of this study is to find the key genes in the transformation process of liver inflammation and cancer and to inhibit the development of chronic inflammation and the transformation from disease to cancer. METHODS: Two groups of GEO data (including normal/HBV and HBV/HBV-HCC) were selected for differential expression analysis. The differential expression genes of HBV-HCC in TCGA were verified to coincide with the above genes to obtain overlapping genes. Then, functional enrichment analysis, modular analysis, and survival analysis were carried out on the key genes. RESULTS: We identified nine central genes (CDK1, MAD2L1, CCNA2, PTTG1, NEK2) that may be closely related to the transformation of hepatitis B. The survival and prognosis gene markers composed of PTTG1, MAD2L1, RRM2, TPX2, CDK1, NEK2, DEPDC1, and ZWINT were constructed, which performed well in predicting the overall survival rate. CONCLUSION: The findings of this study have certain guiding significance for further research on the transformation of hepatitis B inflammatory cancer, inhibition of chronic inflammation, and molecular targeted therapy of cancer. |
format | Online Article Text |
id | pubmed-8440810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84408102021-09-16 Identification of Key Genes Associated With the Process of Hepatitis B Inflammation and Cancer Transformation by Integrated Bioinformatics Analysis Zhang, Jingyuan Liu, Xinkui Zhou, Wei Lu, Shan Wu, Chao Wu, Zhishan Liu, Runping Li, Xiaojiaoyang Wu, Jiarui Liu, Yingying Guo, Siyu Jia, Shanshan Zhang, Xiaomeng Wang, Miaomiao Front Genet Genetics BACKGROUND: Hepatocellular carcinoma (HCC) has become the main cause of cancer death worldwide. More than half of hepatocellular carcinoma developed from hepatitis B virus infection (HBV). The purpose of this study is to find the key genes in the transformation process of liver inflammation and cancer and to inhibit the development of chronic inflammation and the transformation from disease to cancer. METHODS: Two groups of GEO data (including normal/HBV and HBV/HBV-HCC) were selected for differential expression analysis. The differential expression genes of HBV-HCC in TCGA were verified to coincide with the above genes to obtain overlapping genes. Then, functional enrichment analysis, modular analysis, and survival analysis were carried out on the key genes. RESULTS: We identified nine central genes (CDK1, MAD2L1, CCNA2, PTTG1, NEK2) that may be closely related to the transformation of hepatitis B. The survival and prognosis gene markers composed of PTTG1, MAD2L1, RRM2, TPX2, CDK1, NEK2, DEPDC1, and ZWINT were constructed, which performed well in predicting the overall survival rate. CONCLUSION: The findings of this study have certain guiding significance for further research on the transformation of hepatitis B inflammatory cancer, inhibition of chronic inflammation, and molecular targeted therapy of cancer. Frontiers Media S.A. 2021-09-01 /pmc/articles/PMC8440810/ /pubmed/34539726 http://dx.doi.org/10.3389/fgene.2021.654517 Text en Copyright © 2021 Zhang, Liu, Zhou, Lu, Wu, Wu, Liu, Li, Wu, Liu, Guo, Jia, Zhang and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Zhang, Jingyuan Liu, Xinkui Zhou, Wei Lu, Shan Wu, Chao Wu, Zhishan Liu, Runping Li, Xiaojiaoyang Wu, Jiarui Liu, Yingying Guo, Siyu Jia, Shanshan Zhang, Xiaomeng Wang, Miaomiao Identification of Key Genes Associated With the Process of Hepatitis B Inflammation and Cancer Transformation by Integrated Bioinformatics Analysis |
title | Identification of Key Genes Associated With the Process of Hepatitis B Inflammation and Cancer Transformation by Integrated Bioinformatics Analysis |
title_full | Identification of Key Genes Associated With the Process of Hepatitis B Inflammation and Cancer Transformation by Integrated Bioinformatics Analysis |
title_fullStr | Identification of Key Genes Associated With the Process of Hepatitis B Inflammation and Cancer Transformation by Integrated Bioinformatics Analysis |
title_full_unstemmed | Identification of Key Genes Associated With the Process of Hepatitis B Inflammation and Cancer Transformation by Integrated Bioinformatics Analysis |
title_short | Identification of Key Genes Associated With the Process of Hepatitis B Inflammation and Cancer Transformation by Integrated Bioinformatics Analysis |
title_sort | identification of key genes associated with the process of hepatitis b inflammation and cancer transformation by integrated bioinformatics analysis |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440810/ https://www.ncbi.nlm.nih.gov/pubmed/34539726 http://dx.doi.org/10.3389/fgene.2021.654517 |
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