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Revealing the roles of TLR7, a nucleic acid sensor for COVID-19 in pan-cancer

Recent studies suggested that cancer was a risk factor for coronavirus disease 2019 (COVID-19). Toll-like receptor 7 (TLR7), a severe acute respiratory syndrome 2 (SARS-CoV-2) virus’s nucleic acid sensor, was discovered to be aberrantly expressed in many types of cancers. However, its expression pat...

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Autores principales: Huang, Zhijian, Gao, Yaoxin, Han, Yuanyuan, Yang, Jingwen, Yang, Can, Li, Shixiong, Zhou, Decong, Huang, Qiuyan, Yang, Jialiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Chinese Medical Association Publishing House. Published by Elsevier BV. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167782/
https://www.ncbi.nlm.nih.gov/pubmed/37362864
http://dx.doi.org/10.1016/j.bsheal.2023.05.004
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author Huang, Zhijian
Gao, Yaoxin
Han, Yuanyuan
Yang, Jingwen
Yang, Can
Li, Shixiong
Zhou, Decong
Huang, Qiuyan
Yang, Jialiang
author_facet Huang, Zhijian
Gao, Yaoxin
Han, Yuanyuan
Yang, Jingwen
Yang, Can
Li, Shixiong
Zhou, Decong
Huang, Qiuyan
Yang, Jialiang
author_sort Huang, Zhijian
collection PubMed
description Recent studies suggested that cancer was a risk factor for coronavirus disease 2019 (COVID-19). Toll-like receptor 7 (TLR7), a severe acute respiratory syndrome 2 (SARS-CoV-2) virus’s nucleic acid sensor, was discovered to be aberrantly expressed in many types of cancers. However, its expression pattern across cancers and association with COVID-19 (or its causing virus SARS-CoV-2) has not been systematically studied. In this study, we proposed a computational framework to comprehensively study the roles of TLR7 in COVID-19 and pan-cancers at genetic, gene expression, protein, epigenetic, and single-cell levels. We applied the computational framework in a few databases, including The Cancer Genome Atlas (TCGA), The Genotype-Tissue Expression (GTEx), Cancer Cell Line Encyclopedia (CCLE), Human Protein Atlas (HPA), lung gene expression data of mice infected with SARS-CoV-2, and the like. As a result, TLR7 expression was found to be higher in the lung of mice infected with SARS-CoV-2 than that in the control group. The analysis in the Opentargets database also confirmed the association between TLR7 and COVID-19. There are also a few exciting findings in cancers. First, the most common type of TLR7 was “Missense” at the genomic level. Second, TLR7 mRNA expression was significantly up-regulated in 6 cancer types and down-regulated in 6 cancer types compared to normal tissues, further validated in the HPA database at the protein level. The genes significantly co-expressed with TLR7 were mainly enriched in the toll-like receptor signaling pathway, endolysosome, and signaling pattern recognition receptor activity. In addition, the abnormal TLR7 expression was associated with mismatch repair (MMR), microsatellite instability (MSI), and tumor mutational burden (TMB) in various cancers. Mined by the ESTIMATE algorithm, the expression of TLR7 was also closely linked to various immune infiltration patterns in pan-cancer, and TLR7 was mainly enriched in macrophages, as revealed by single-cell RNA sequencing. Third, abnormal expression of TLR7 could predict the survival of Brain Lower Grade Glioma (LGG), Lung adenocarcinoma (LUAD), Skin Cutaneous Melanoma (SKCM), Stomach adenocarcinoma (STAD), and Testicular Germ Cell Tumors (TGCT) patients, respectively. Finally, TLR7 expressions were very sensitive to a few targeted drugs, such as Alectinib and Imiquimod. In conclusion, TLR7 might be essential in the pathogenesis of COVID-19 and cancers.
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spelling pubmed-101677822023-05-10 Revealing the roles of TLR7, a nucleic acid sensor for COVID-19 in pan-cancer Huang, Zhijian Gao, Yaoxin Han, Yuanyuan Yang, Jingwen Yang, Can Li, Shixiong Zhou, Decong Huang, Qiuyan Yang, Jialiang Biosaf Health Article Recent studies suggested that cancer was a risk factor for coronavirus disease 2019 (COVID-19). Toll-like receptor 7 (TLR7), a severe acute respiratory syndrome 2 (SARS-CoV-2) virus’s nucleic acid sensor, was discovered to be aberrantly expressed in many types of cancers. However, its expression pattern across cancers and association with COVID-19 (or its causing virus SARS-CoV-2) has not been systematically studied. In this study, we proposed a computational framework to comprehensively study the roles of TLR7 in COVID-19 and pan-cancers at genetic, gene expression, protein, epigenetic, and single-cell levels. We applied the computational framework in a few databases, including The Cancer Genome Atlas (TCGA), The Genotype-Tissue Expression (GTEx), Cancer Cell Line Encyclopedia (CCLE), Human Protein Atlas (HPA), lung gene expression data of mice infected with SARS-CoV-2, and the like. As a result, TLR7 expression was found to be higher in the lung of mice infected with SARS-CoV-2 than that in the control group. The analysis in the Opentargets database also confirmed the association between TLR7 and COVID-19. There are also a few exciting findings in cancers. First, the most common type of TLR7 was “Missense” at the genomic level. Second, TLR7 mRNA expression was significantly up-regulated in 6 cancer types and down-regulated in 6 cancer types compared to normal tissues, further validated in the HPA database at the protein level. The genes significantly co-expressed with TLR7 were mainly enriched in the toll-like receptor signaling pathway, endolysosome, and signaling pattern recognition receptor activity. In addition, the abnormal TLR7 expression was associated with mismatch repair (MMR), microsatellite instability (MSI), and tumor mutational burden (TMB) in various cancers. Mined by the ESTIMATE algorithm, the expression of TLR7 was also closely linked to various immune infiltration patterns in pan-cancer, and TLR7 was mainly enriched in macrophages, as revealed by single-cell RNA sequencing. Third, abnormal expression of TLR7 could predict the survival of Brain Lower Grade Glioma (LGG), Lung adenocarcinoma (LUAD), Skin Cutaneous Melanoma (SKCM), Stomach adenocarcinoma (STAD), and Testicular Germ Cell Tumors (TGCT) patients, respectively. Finally, TLR7 expressions were very sensitive to a few targeted drugs, such as Alectinib and Imiquimod. In conclusion, TLR7 might be essential in the pathogenesis of COVID-19 and cancers. Chinese Medical Association Publishing House. Published by Elsevier BV. 2023-05-09 /pmc/articles/PMC10167782/ /pubmed/37362864 http://dx.doi.org/10.1016/j.bsheal.2023.05.004 Text en © 2023 Chinese Medical Association Publishing House. Published by Elsevier BV. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Huang, Zhijian
Gao, Yaoxin
Han, Yuanyuan
Yang, Jingwen
Yang, Can
Li, Shixiong
Zhou, Decong
Huang, Qiuyan
Yang, Jialiang
Revealing the roles of TLR7, a nucleic acid sensor for COVID-19 in pan-cancer
title Revealing the roles of TLR7, a nucleic acid sensor for COVID-19 in pan-cancer
title_full Revealing the roles of TLR7, a nucleic acid sensor for COVID-19 in pan-cancer
title_fullStr Revealing the roles of TLR7, a nucleic acid sensor for COVID-19 in pan-cancer
title_full_unstemmed Revealing the roles of TLR7, a nucleic acid sensor for COVID-19 in pan-cancer
title_short Revealing the roles of TLR7, a nucleic acid sensor for COVID-19 in pan-cancer
title_sort revealing the roles of tlr7, a nucleic acid sensor for covid-19 in pan-cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167782/
https://www.ncbi.nlm.nih.gov/pubmed/37362864
http://dx.doi.org/10.1016/j.bsheal.2023.05.004
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