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Characterization of Hepatitis B Virus Integrations Identified in Hepatocellular Carcinoma Genomes

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality. Almost half of HCC cases are associated with hepatitis B virus (HBV) infections, which often lead to HBV sequence integrations in the human genome. Accurate identification of HBV integration sites at a single nucleotide r...

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Autores principales: Mathkar, Pranav P., Chen, Xun, Sulovari, Arvis, Li, Dawei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915589/
https://www.ncbi.nlm.nih.gov/pubmed/33557409
http://dx.doi.org/10.3390/v13020245
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author Mathkar, Pranav P.
Chen, Xun
Sulovari, Arvis
Li, Dawei
author_facet Mathkar, Pranav P.
Chen, Xun
Sulovari, Arvis
Li, Dawei
author_sort Mathkar, Pranav P.
collection PubMed
description Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality. Almost half of HCC cases are associated with hepatitis B virus (HBV) infections, which often lead to HBV sequence integrations in the human genome. Accurate identification of HBV integration sites at a single nucleotide resolution is critical for developing a better understanding of the cancer genome landscape and of the disease itself. Here, we performed further analyses and characterization of HBV integrations identified by our recently reported VIcaller platform in recurrent or known HCC genes (such as TERT, MLL4, and CCNE1) as well as non-recurrent cancer-related genes (such as CSMD2, NKD2, and RHOU). Our pathway enrichment analysis revealed multiple pathways involving the alcohol dehydrogenase 4 gene, such as the metabolism pathways of retinol, tyrosine, and fatty acid. Further analysis of the HBV integration sites revealed distinct patterns involving the integration upper breakpoints, integrated genome lengths, and integration allele fractions between tumor and normal tissues. Our analysis also implies that the VIcaller method has diagnostic potential through discovering novel clonal integrations in cancer-related genes. In conclusion, although VIcaller is a hypothesis free virome-wide approach, it can still be applied to accurately identify genome-wide integration events of a specific candidate virus and their integration allele fractions.
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spelling pubmed-79155892021-03-01 Characterization of Hepatitis B Virus Integrations Identified in Hepatocellular Carcinoma Genomes Mathkar, Pranav P. Chen, Xun Sulovari, Arvis Li, Dawei Viruses Article Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality. Almost half of HCC cases are associated with hepatitis B virus (HBV) infections, which often lead to HBV sequence integrations in the human genome. Accurate identification of HBV integration sites at a single nucleotide resolution is critical for developing a better understanding of the cancer genome landscape and of the disease itself. Here, we performed further analyses and characterization of HBV integrations identified by our recently reported VIcaller platform in recurrent or known HCC genes (such as TERT, MLL4, and CCNE1) as well as non-recurrent cancer-related genes (such as CSMD2, NKD2, and RHOU). Our pathway enrichment analysis revealed multiple pathways involving the alcohol dehydrogenase 4 gene, such as the metabolism pathways of retinol, tyrosine, and fatty acid. Further analysis of the HBV integration sites revealed distinct patterns involving the integration upper breakpoints, integrated genome lengths, and integration allele fractions between tumor and normal tissues. Our analysis also implies that the VIcaller method has diagnostic potential through discovering novel clonal integrations in cancer-related genes. In conclusion, although VIcaller is a hypothesis free virome-wide approach, it can still be applied to accurately identify genome-wide integration events of a specific candidate virus and their integration allele fractions. MDPI 2021-02-04 /pmc/articles/PMC7915589/ /pubmed/33557409 http://dx.doi.org/10.3390/v13020245 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mathkar, Pranav P.
Chen, Xun
Sulovari, Arvis
Li, Dawei
Characterization of Hepatitis B Virus Integrations Identified in Hepatocellular Carcinoma Genomes
title Characterization of Hepatitis B Virus Integrations Identified in Hepatocellular Carcinoma Genomes
title_full Characterization of Hepatitis B Virus Integrations Identified in Hepatocellular Carcinoma Genomes
title_fullStr Characterization of Hepatitis B Virus Integrations Identified in Hepatocellular Carcinoma Genomes
title_full_unstemmed Characterization of Hepatitis B Virus Integrations Identified in Hepatocellular Carcinoma Genomes
title_short Characterization of Hepatitis B Virus Integrations Identified in Hepatocellular Carcinoma Genomes
title_sort characterization of hepatitis b virus integrations identified in hepatocellular carcinoma genomes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915589/
https://www.ncbi.nlm.nih.gov/pubmed/33557409
http://dx.doi.org/10.3390/v13020245
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