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The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy
BACKGROUND: Viral infections are prevalent in human cancers and they have great diagnostic and theranostic values in clinical practice. Recently, their potential of shaping the tumor immune microenvironment (TIME) has been related to the immunotherapy of human cancers. However, the landscape of vira...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571886/ https://www.ncbi.nlm.nih.gov/pubmed/34740324 http://dx.doi.org/10.1186/s12885-021-08871-9 |
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author | Chen, Siyuan Lai, Hongyan Zhao, Jingjing Chen, Bing Li, Yan Li, Yuchen Li, Qin Zheng, Qiupeng Huang, Shenglin Zhu, Xiaodong |
author_facet | Chen, Siyuan Lai, Hongyan Zhao, Jingjing Chen, Bing Li, Yan Li, Yuchen Li, Qin Zheng, Qiupeng Huang, Shenglin Zhu, Xiaodong |
author_sort | Chen, Siyuan |
collection | PubMed |
description | BACKGROUND: Viral infections are prevalent in human cancers and they have great diagnostic and theranostic values in clinical practice. Recently, their potential of shaping the tumor immune microenvironment (TIME) has been related to the immunotherapy of human cancers. However, the landscape of viral expressions and immune status in human cancers remains incompletely understood. METHODS: We developed a next-generation sequencing (NGS)-based pipeline to detect viral sequences from the whole transcriptome and used machine learning algorithms to classify different TIME subtypes. RESULTS: We revealed a pan-cancer landscape of viral expressions in human cancers where 9 types of viruses were detected in 744 tumors of 25 cancer types. Viral infections showed different tissue tendencies and expression levels. Multi-omics analyses further revealed their distinct impacts on genomic, transcriptomic and immune responses. Epstein-Barr virus (EBV)-infected stomach adenocarcinoma (STAD) and Human Papillomavirus (HPV)-infected head and neck squamous cell carcinoma (HNSC) showed decreased genomic variations, significantly altered gene expressions, and effectively triggered anti-viral immune responses. We identified three TIME subtypes, in which the “Immune-Stimulation” subtype might be the promising candidate for immunotherapy. EBV-infected STAD and HPV-infected HNSC showed a higher frequency of the “Immune-Stimulation” subtype. Finally, we constructed the eVIIS pipeline to simultaneously evaluate viral infection and immune status in external datasets. CONCLUSIONS: Viral infections are prevalent in human cancers and have distinct influences on hosts. EBV and HPV infections combined with the TIME subtype could be promising biomarkers of immunotherapy in STAD and HNSC, respectively. The eVIIS pipeline could be a practical tool to facilitate clinical practice and relevant studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08871-9. |
format | Online Article Text |
id | pubmed-8571886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85718862021-11-08 The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy Chen, Siyuan Lai, Hongyan Zhao, Jingjing Chen, Bing Li, Yan Li, Yuchen Li, Qin Zheng, Qiupeng Huang, Shenglin Zhu, Xiaodong BMC Cancer Research BACKGROUND: Viral infections are prevalent in human cancers and they have great diagnostic and theranostic values in clinical practice. Recently, their potential of shaping the tumor immune microenvironment (TIME) has been related to the immunotherapy of human cancers. However, the landscape of viral expressions and immune status in human cancers remains incompletely understood. METHODS: We developed a next-generation sequencing (NGS)-based pipeline to detect viral sequences from the whole transcriptome and used machine learning algorithms to classify different TIME subtypes. RESULTS: We revealed a pan-cancer landscape of viral expressions in human cancers where 9 types of viruses were detected in 744 tumors of 25 cancer types. Viral infections showed different tissue tendencies and expression levels. Multi-omics analyses further revealed their distinct impacts on genomic, transcriptomic and immune responses. Epstein-Barr virus (EBV)-infected stomach adenocarcinoma (STAD) and Human Papillomavirus (HPV)-infected head and neck squamous cell carcinoma (HNSC) showed decreased genomic variations, significantly altered gene expressions, and effectively triggered anti-viral immune responses. We identified three TIME subtypes, in which the “Immune-Stimulation” subtype might be the promising candidate for immunotherapy. EBV-infected STAD and HPV-infected HNSC showed a higher frequency of the “Immune-Stimulation” subtype. Finally, we constructed the eVIIS pipeline to simultaneously evaluate viral infection and immune status in external datasets. CONCLUSIONS: Viral infections are prevalent in human cancers and have distinct influences on hosts. EBV and HPV infections combined with the TIME subtype could be promising biomarkers of immunotherapy in STAD and HNSC, respectively. The eVIIS pipeline could be a practical tool to facilitate clinical practice and relevant studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08871-9. BioMed Central 2021-11-05 /pmc/articles/PMC8571886/ /pubmed/34740324 http://dx.doi.org/10.1186/s12885-021-08871-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chen, Siyuan Lai, Hongyan Zhao, Jingjing Chen, Bing Li, Yan Li, Yuchen Li, Qin Zheng, Qiupeng Huang, Shenglin Zhu, Xiaodong The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy |
title | The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy |
title_full | The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy |
title_fullStr | The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy |
title_full_unstemmed | The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy |
title_short | The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy |
title_sort | viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571886/ https://www.ncbi.nlm.nih.gov/pubmed/34740324 http://dx.doi.org/10.1186/s12885-021-08871-9 |
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