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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-7915589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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