A virome-wide clonal integration analysis platform for discovering cancer viral etiology

Oncoviral infection is responsible for 12%-15% of cancer in humans. Convergent evidence from epidemiology, pathology, and oncology suggests that new viral etiologies for cancers remain to be discovered. Oncoviral profiles can be obtained from cancer genome sequencing data; however, widespread viral...

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Veröffentlicht in:Genome research 2019-05, Vol.29 (5), p.819-830
Hauptverfasser: Chen, Xun, Kost, Jason, Sulovari, Arvis, Wong, Nathalie, Liang, Winnie S, Cao, Jian, Li, Dawei
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container_end_page 830
container_issue 5
container_start_page 819
container_title Genome research
container_volume 29
creator Chen, Xun
Kost, Jason
Sulovari, Arvis
Wong, Nathalie
Liang, Winnie S
Cao, Jian
Li, Dawei
description Oncoviral infection is responsible for 12%-15% of cancer in humans. Convergent evidence from epidemiology, pathology, and oncology suggests that new viral etiologies for cancers remain to be discovered. Oncoviral profiles can be obtained from cancer genome sequencing data; however, widespread viral sequence contamination and noncausal viruses complicate the process of identifying genuine oncoviruses. Here, we propose a novel strategy to address these challenges by performing virome-wide screening of early-stage clonal viral integrations. To implement this strategy, we developed VIcaller, a novel platform for identifying viral integrations that are derived from any characterized viruses and shared by a large proportion of tumor cells using whole-genome sequencing (WGS) data. The sensitivity and precision were confirmed with simulated and benchmark cancer data sets. By applying this platform to cancer WGS data sets with proven or speculated viral etiology, we newly identified or confirmed clonal integrations of hepatitis B virus (HBV), human papillomavirus (HPV), Epstein-Barr virus (EBV), and BK Virus (BKV), suggesting the involvement of these viruses in early stages of tumorigenesis in affected tumors, such as HBV in and (also known as ) gene loci in liver cancer, HPV and BKV in bladder cancer, and EBV in non-Hodgkin's lymphoma. We also showed the capacity of VIcaller to identify integrations from some uncharacterized viruses. This is the first study to systematically investigate the strategy and method of virome-wide screening of clonal integrations to identify oncoviruses. Searching clonal viral integrations with our platform has the capacity to identify virus-caused cancers and discover cancer viral etiologies.
doi_str_mv 10.1101/gr.242529.118
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Convergent evidence from epidemiology, pathology, and oncology suggests that new viral etiologies for cancers remain to be discovered. Oncoviral profiles can be obtained from cancer genome sequencing data; however, widespread viral sequence contamination and noncausal viruses complicate the process of identifying genuine oncoviruses. Here, we propose a novel strategy to address these challenges by performing virome-wide screening of early-stage clonal viral integrations. To implement this strategy, we developed VIcaller, a novel platform for identifying viral integrations that are derived from any characterized viruses and shared by a large proportion of tumor cells using whole-genome sequencing (WGS) data. The sensitivity and precision were confirmed with simulated and benchmark cancer data sets. By applying this platform to cancer WGS data sets with proven or speculated viral etiology, we newly identified or confirmed clonal integrations of hepatitis B virus (HBV), human papillomavirus (HPV), Epstein-Barr virus (EBV), and BK Virus (BKV), suggesting the involvement of these viruses in early stages of tumorigenesis in affected tumors, such as HBV in and (also known as ) gene loci in liver cancer, HPV and BKV in bladder cancer, and EBV in non-Hodgkin's lymphoma. We also showed the capacity of VIcaller to identify integrations from some uncharacterized viruses. This is the first study to systematically investigate the strategy and method of virome-wide screening of clonal integrations to identify oncoviruses. 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Convergent evidence from epidemiology, pathology, and oncology suggests that new viral etiologies for cancers remain to be discovered. Oncoviral profiles can be obtained from cancer genome sequencing data; however, widespread viral sequence contamination and noncausal viruses complicate the process of identifying genuine oncoviruses. Here, we propose a novel strategy to address these challenges by performing virome-wide screening of early-stage clonal viral integrations. To implement this strategy, we developed VIcaller, a novel platform for identifying viral integrations that are derived from any characterized viruses and shared by a large proportion of tumor cells using whole-genome sequencing (WGS) data. The sensitivity and precision were confirmed with simulated and benchmark cancer data sets. By applying this platform to cancer WGS data sets with proven or speculated viral etiology, we newly identified or confirmed clonal integrations of hepatitis B virus (HBV), human papillomavirus (HPV), Epstein-Barr virus (EBV), and BK Virus (BKV), suggesting the involvement of these viruses in early stages of tumorigenesis in affected tumors, such as HBV in and (also known as ) gene loci in liver cancer, HPV and BKV in bladder cancer, and EBV in non-Hodgkin's lymphoma. We also showed the capacity of VIcaller to identify integrations from some uncharacterized viruses. This is the first study to systematically investigate the strategy and method of virome-wide screening of clonal integrations to identify oncoviruses. 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Kost, Jason ; Sulovari, Arvis ; Wong, Nathalie ; Liang, Winnie S ; Cao, Jian ; Li, Dawei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c481t-76be94ca1a7a1bb55eb430404daaf242e133514b9f519f86968f0560090c464b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>BK Virus - genetics</topic><topic>BK Virus - pathogenicity</topic><topic>Cancer</topic><topic>Carcinogenesis - genetics</topic><topic>Cell Transformation, Neoplastic</topic><topic>Contamination</topic><topic>DNA, Viral</topic><topic>DNA-Binding Proteins - genetics</topic><topic>Epidemiology</topic><topic>Epstein-Barr virus</topic><topic>Etiology</topic><topic>Genomes</topic><topic>Hepatitis B</topic><topic>Hepatitis B virus - genetics</topic><topic>Hepatitis B virus - pathogenicity</topic><topic>Herpesvirus 4, Human - genetics</topic><topic>Herpesvirus 4, Human - pathogenicity</topic><topic>Human papillomavirus</topic><topic>Humans</topic><topic>Liver cancer</topic><topic>Liver Neoplasms - genetics</topic><topic>Liver Neoplasms - virology</topic><topic>Lymphoma, Non-Hodgkin - genetics</topic><topic>Lymphoma, Non-Hodgkin - virology</topic><topic>Method</topic><topic>Neoplasms - genetics</topic><topic>Neoplasms - virology</topic><topic>Non-Hodgkin's lymphoma</topic><topic>Nucleotide sequence</topic><topic>Oncology</topic><topic>Papillomaviridae - genetics</topic><topic>Papillomaviridae - pathogenicity</topic><topic>Software</topic><topic>Tumor cells</topic><topic>Tumorigenesis</topic><topic>Urinary Bladder Neoplasms - genetics</topic><topic>Urinary Bladder Neoplasms - virology</topic><topic>Virus Integration - genetics</topic><topic>Viruses</topic><topic>Whole Genome Sequencing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Xun</creatorcontrib><creatorcontrib>Kost, Jason</creatorcontrib><creatorcontrib>Sulovari, Arvis</creatorcontrib><creatorcontrib>Wong, Nathalie</creatorcontrib><creatorcontrib>Liang, Winnie S</creatorcontrib><creatorcontrib>Cao, Jian</creatorcontrib><creatorcontrib>Li, Dawei</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Genome research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Xun</au><au>Kost, Jason</au><au>Sulovari, Arvis</au><au>Wong, Nathalie</au><au>Liang, Winnie S</au><au>Cao, Jian</au><au>Li, Dawei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A virome-wide clonal integration analysis platform for discovering cancer viral etiology</atitle><jtitle>Genome research</jtitle><addtitle>Genome Res</addtitle><date>2019-05-01</date><risdate>2019</risdate><volume>29</volume><issue>5</issue><spage>819</spage><epage>830</epage><pages>819-830</pages><issn>1088-9051</issn><eissn>1549-5469</eissn><abstract>Oncoviral infection is responsible for 12%-15% of cancer in humans. Convergent evidence from epidemiology, pathology, and oncology suggests that new viral etiologies for cancers remain to be discovered. Oncoviral profiles can be obtained from cancer genome sequencing data; however, widespread viral sequence contamination and noncausal viruses complicate the process of identifying genuine oncoviruses. Here, we propose a novel strategy to address these challenges by performing virome-wide screening of early-stage clonal viral integrations. To implement this strategy, we developed VIcaller, a novel platform for identifying viral integrations that are derived from any characterized viruses and shared by a large proportion of tumor cells using whole-genome sequencing (WGS) data. The sensitivity and precision were confirmed with simulated and benchmark cancer data sets. By applying this platform to cancer WGS data sets with proven or speculated viral etiology, we newly identified or confirmed clonal integrations of hepatitis B virus (HBV), human papillomavirus (HPV), Epstein-Barr virus (EBV), and BK Virus (BKV), suggesting the involvement of these viruses in early stages of tumorigenesis in affected tumors, such as HBV in and (also known as ) gene loci in liver cancer, HPV and BKV in bladder cancer, and EBV in non-Hodgkin's lymphoma. We also showed the capacity of VIcaller to identify integrations from some uncharacterized viruses. This is the first study to systematically investigate the strategy and method of virome-wide screening of clonal integrations to identify oncoviruses. 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subjects BK Virus - genetics
BK Virus - pathogenicity
Cancer
Carcinogenesis - genetics
Cell Transformation, Neoplastic
Contamination
DNA, Viral
DNA-Binding Proteins - genetics
Epidemiology
Epstein-Barr virus
Etiology
Genomes
Hepatitis B
Hepatitis B virus - genetics
Hepatitis B virus - pathogenicity
Herpesvirus 4, Human - genetics
Herpesvirus 4, Human - pathogenicity
Human papillomavirus
Humans
Liver cancer
Liver Neoplasms - genetics
Liver Neoplasms - virology
Lymphoma, Non-Hodgkin - genetics
Lymphoma, Non-Hodgkin - virology
Method
Neoplasms - genetics
Neoplasms - virology
Non-Hodgkin's lymphoma
Nucleotide sequence
Oncology
Papillomaviridae - genetics
Papillomaviridae - pathogenicity
Software
Tumor cells
Tumorigenesis
Urinary Bladder Neoplasms - genetics
Urinary Bladder Neoplasms - virology
Virus Integration - genetics
Viruses
Whole Genome Sequencing
title A virome-wide clonal integration analysis platform for discovering cancer viral etiology
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