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The landscape of viral associations in human cancers

Here, as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, for which whole-genome and—for a subset—whole-transcriptome sequencing data from 2,658 cancers across 38 tumor types was aggregated, we systematically investigated potential viral pathogens using a consensus approach that...

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Autores principales: Zapatka, Marc, Borozan, Ivan, Brewer, Daniel S., Iskar, Murat, Grundhoff, Adam, Alawi, Malik, Desai, Nikita, Sültmann, Holger, Moch, Holger, Cooper, Colin S., Eils, Roland, Ferretti, Vincent, Lichter, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076016/
https://www.ncbi.nlm.nih.gov/pubmed/32025001
http://dx.doi.org/10.1038/s41588-019-0558-9
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author Zapatka, Marc
Borozan, Ivan
Brewer, Daniel S.
Iskar, Murat
Grundhoff, Adam
Alawi, Malik
Desai, Nikita
Sültmann, Holger
Moch, Holger
Cooper, Colin S.
Eils, Roland
Ferretti, Vincent
Lichter, Peter
author_facet Zapatka, Marc
Borozan, Ivan
Brewer, Daniel S.
Iskar, Murat
Grundhoff, Adam
Alawi, Malik
Desai, Nikita
Sültmann, Holger
Moch, Holger
Cooper, Colin S.
Eils, Roland
Ferretti, Vincent
Lichter, Peter
author_sort Zapatka, Marc
collection PubMed
description Here, as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, for which whole-genome and—for a subset—whole-transcriptome sequencing data from 2,658 cancers across 38 tumor types was aggregated, we systematically investigated potential viral pathogens using a consensus approach that integrated three independent pipelines. Viruses were detected in 382 genome and 68 transcriptome datasets. We found a high prevalence of known tumor-associated viruses such as Epstein–Barr virus (EBV), hepatitis B virus (HBV) and human papilloma virus (HPV; for example, HPV16 or HPV18). The study revealed significant exclusivity of HPV and driver mutations in head-and-neck cancer and the association of HPV with APOBEC mutational signatures, which suggests that impaired antiviral defense is a driving force in cervical, bladder and head-and-neck carcinoma. For HBV, HPV16, HPV18 and adeno-associated virus-2 (AAV2), viral integration was associated with local variations in genomic copy numbers. Integrations at the TERT promoter were associated with high telomerase expression evidently activating this tumor-driving process. High levels of endogenous retrovirus (ERV1) expression were linked to a worse survival outcome in patients with kidney cancer.
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spelling pubmed-80760162021-05-06 The landscape of viral associations in human cancers Zapatka, Marc Borozan, Ivan Brewer, Daniel S. Iskar, Murat Grundhoff, Adam Alawi, Malik Desai, Nikita Sültmann, Holger Moch, Holger Cooper, Colin S. Eils, Roland Ferretti, Vincent Lichter, Peter Nat Genet Article Here, as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, for which whole-genome and—for a subset—whole-transcriptome sequencing data from 2,658 cancers across 38 tumor types was aggregated, we systematically investigated potential viral pathogens using a consensus approach that integrated three independent pipelines. Viruses were detected in 382 genome and 68 transcriptome datasets. We found a high prevalence of known tumor-associated viruses such as Epstein–Barr virus (EBV), hepatitis B virus (HBV) and human papilloma virus (HPV; for example, HPV16 or HPV18). The study revealed significant exclusivity of HPV and driver mutations in head-and-neck cancer and the association of HPV with APOBEC mutational signatures, which suggests that impaired antiviral defense is a driving force in cervical, bladder and head-and-neck carcinoma. For HBV, HPV16, HPV18 and adeno-associated virus-2 (AAV2), viral integration was associated with local variations in genomic copy numbers. Integrations at the TERT promoter were associated with high telomerase expression evidently activating this tumor-driving process. High levels of endogenous retrovirus (ERV1) expression were linked to a worse survival outcome in patients with kidney cancer. Nature Publishing Group US 2020-02-05 2020 /pmc/articles/PMC8076016/ /pubmed/32025001 http://dx.doi.org/10.1038/s41588-019-0558-9 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zapatka, Marc
Borozan, Ivan
Brewer, Daniel S.
Iskar, Murat
Grundhoff, Adam
Alawi, Malik
Desai, Nikita
Sültmann, Holger
Moch, Holger
Cooper, Colin S.
Eils, Roland
Ferretti, Vincent
Lichter, Peter
The landscape of viral associations in human cancers
title The landscape of viral associations in human cancers
title_full The landscape of viral associations in human cancers
title_fullStr The landscape of viral associations in human cancers
title_full_unstemmed The landscape of viral associations in human cancers
title_short The landscape of viral associations in human cancers
title_sort landscape of viral associations in human cancers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076016/
https://www.ncbi.nlm.nih.gov/pubmed/32025001
http://dx.doi.org/10.1038/s41588-019-0558-9
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