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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...

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Autores principales: Huang, Xiao-Bing, He, Yong-Gang, Zheng, Lu, Feng, Huan, Li, Yu-Ming, Li, Hong-Yan, Yang, Feng-Xia, Li, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2019
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.
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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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