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Identification of hepatitis B virus and liver cancer bridge molecules based on functional module network
BACKGROUND: The potential role of chronic inflammation in the development of cancer has been widely recognized. However, there has been little research fully and thoroughly exploring the molecular link between hepatitis B virus (HBV) and hepatocellular carcinoma (HCC). AIM: To elucidate the molecula...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737318/ https://www.ncbi.nlm.nih.gov/pubmed/31543683 http://dx.doi.org/10.3748/wjg.v25.i33.4921 |
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author | Huang, Xiao-Bing He, Yong-Gang Zheng, Lu Feng, Huan Li, Yu-Ming Li, Hong-Yan Yang, Feng-Xia Li, Jing |
author_facet | Huang, Xiao-Bing He, Yong-Gang Zheng, Lu Feng, Huan Li, Yu-Ming Li, Hong-Yan Yang, Feng-Xia Li, Jing |
author_sort | Huang, Xiao-Bing |
collection | PubMed |
description | BACKGROUND: The potential role of chronic inflammation in the development of cancer has been widely recognized. However, there has been little research fully and thoroughly exploring the molecular link between hepatitis B virus (HBV) and hepatocellular carcinoma (HCC). AIM: To elucidate the molecular links between HBV and HCC through analyzing the molecular processes of HBV-HCC using a multidimensional approach. METHODS: First, maladjusted genes shared between HBV and HCC were identified by disease-related differentially expressed genes. Second, the protein-protein interaction network based on dysfunctional genes identified a series of dysfunctional modules and significant crosstalk between modules based on the hypergeometric test. In addition, key regulators were detected by pivot analysis. Finally, targeted drugs that have regulatory effects on diseases were predicted by modular methods and drug target information. RESULTS: The study found that 67 genes continued to increase in the HBV-HCC process. Moreover, 366 overlapping genes in the module network participated in multiple functional blocks. It could be presumed that these genes and their interactions play an important role in the relationship between inflammation and cancer. Correspondingly, significant crosstalk constructed a module level bridge for HBV-HCC molecular processes. On the other hand, a series of non-coding RNAs and transcription factors that have potential pivot regulatory effects on HBV and HCC were identified. Among them, some of the regulators also had persistent disorders in the process of HBV-HCC including microRNA-192, microRNA-215, and microRNA-874, and early growth response 2, FOS, and Kruppel-like factor 4. Therefore, the study concluded that these pivots are the key bridge molecules outside the module. Last but not least, a variety of drugs that may have some potential pharmacological or toxic side effects on HBV-induced HCC were predicted, but their mechanisms still need to be further explored. CONCLUSION: The results suggest that the persistent inflammatory environment of HBV can be utilized as an important risk factor to induce the occurrence of HCC, which is supported by molecular evidence. |
format | Online Article Text |
id | pubmed-6737318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-67373182019-09-22 Identification of hepatitis B virus and liver cancer bridge molecules based on functional module network Huang, Xiao-Bing He, Yong-Gang Zheng, Lu Feng, Huan Li, Yu-Ming Li, Hong-Yan Yang, Feng-Xia Li, Jing World J Gastroenterol Basic Study BACKGROUND: The potential role of chronic inflammation in the development of cancer has been widely recognized. However, there has been little research fully and thoroughly exploring the molecular link between hepatitis B virus (HBV) and hepatocellular carcinoma (HCC). AIM: To elucidate the molecular links between HBV and HCC through analyzing the molecular processes of HBV-HCC using a multidimensional approach. METHODS: First, maladjusted genes shared between HBV and HCC were identified by disease-related differentially expressed genes. Second, the protein-protein interaction network based on dysfunctional genes identified a series of dysfunctional modules and significant crosstalk between modules based on the hypergeometric test. In addition, key regulators were detected by pivot analysis. Finally, targeted drugs that have regulatory effects on diseases were predicted by modular methods and drug target information. RESULTS: The study found that 67 genes continued to increase in the HBV-HCC process. Moreover, 366 overlapping genes in the module network participated in multiple functional blocks. It could be presumed that these genes and their interactions play an important role in the relationship between inflammation and cancer. Correspondingly, significant crosstalk constructed a module level bridge for HBV-HCC molecular processes. On the other hand, a series of non-coding RNAs and transcription factors that have potential pivot regulatory effects on HBV and HCC were identified. Among them, some of the regulators also had persistent disorders in the process of HBV-HCC including microRNA-192, microRNA-215, and microRNA-874, and early growth response 2, FOS, and Kruppel-like factor 4. Therefore, the study concluded that these pivots are the key bridge molecules outside the module. Last but not least, a variety of drugs that may have some potential pharmacological or toxic side effects on HBV-induced HCC were predicted, but their mechanisms still need to be further explored. CONCLUSION: The results suggest that the persistent inflammatory environment of HBV can be utilized as an important risk factor to induce the occurrence of HCC, which is supported by molecular evidence. Baishideng Publishing Group Inc 2019-09-07 2019-09-07 /pmc/articles/PMC6737318/ /pubmed/31543683 http://dx.doi.org/10.3748/wjg.v25.i33.4921 Text en ©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Basic Study Huang, Xiao-Bing He, Yong-Gang Zheng, Lu Feng, Huan Li, Yu-Ming Li, Hong-Yan Yang, Feng-Xia Li, Jing Identification of hepatitis B virus and liver cancer bridge molecules based on functional module network |
title | Identification of hepatitis B virus and liver cancer bridge molecules based on functional module network |
title_full | Identification of hepatitis B virus and liver cancer bridge molecules based on functional module network |
title_fullStr | Identification of hepatitis B virus and liver cancer bridge molecules based on functional module network |
title_full_unstemmed | Identification of hepatitis B virus and liver cancer bridge molecules based on functional module network |
title_short | Identification of hepatitis B virus and liver cancer bridge molecules based on functional module network |
title_sort | identification of hepatitis b virus and liver cancer bridge molecules based on functional module network |
topic | Basic Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737318/ https://www.ncbi.nlm.nih.gov/pubmed/31543683 http://dx.doi.org/10.3748/wjg.v25.i33.4921 |
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