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Pan-cancer analysis of RNA expression of ANGIOTENSIN-I-CONVERTING ENZYME 2 reveals high variability and possible impact on COVID-19 clinical outcomes

Patients with cancer demonstrate particularly poor outcomes from COVID-19. To provide information essential for understanding the biologic underpinnings of this association, we analyzed whole-transcriptome RNA expression data obtained from a large cohort of cancer patients to characterize expression...

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Autores principales: Elliott, Andrew, Saul, Michelle, Zeng, Jia, Marshall, John L., Kim, Edward S., Nagasaka, Misako, Lenz, Heinz-Josef, Schwartzberg, Lee, Spetzler, David, Abraham, Jim, Xiu, Joanne, Stafford, Phillip, Michael Korn, W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952699/
https://www.ncbi.nlm.nih.gov/pubmed/33707526
http://dx.doi.org/10.1038/s41598-021-84731-7
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author Elliott, Andrew
Saul, Michelle
Zeng, Jia
Marshall, John L.
Kim, Edward S.
Nagasaka, Misako
Lenz, Heinz-Josef
Schwartzberg, Lee
Spetzler, David
Abraham, Jim
Xiu, Joanne
Stafford, Phillip
Michael Korn, W.
author_facet Elliott, Andrew
Saul, Michelle
Zeng, Jia
Marshall, John L.
Kim, Edward S.
Nagasaka, Misako
Lenz, Heinz-Josef
Schwartzberg, Lee
Spetzler, David
Abraham, Jim
Xiu, Joanne
Stafford, Phillip
Michael Korn, W.
author_sort Elliott, Andrew
collection PubMed
description Patients with cancer demonstrate particularly poor outcomes from COVID-19. To provide information essential for understanding the biologic underpinnings of this association, we analyzed whole-transcriptome RNA expression data obtained from a large cohort of cancer patients to characterize expression of ACE2, TMPRSS2, and other proteases that are involved in viral attachment to and entry into target cells. We find substantial variability of expression of these factors across tumor types and identify subpopulations expressing ACE2 at very high levels. In some tumor types, especially in gastrointestinal cancers, expression of ACE2 and TMPRSS2 is highly correlated. Furthermore, we found infiltration with T-cell and natural killer (NK) cell infiltration to be particularly pronounced in ACE2-high tumors. These findings suggest that subsets of cancer patients exist with gene expression profiles that may be associated with heightened susceptibility to SARS-CoV-2 infection, in whom malignant tumors function as viral reservoir and possibly promote the frequently detrimental hyper-immune response in patients infected with this virus.
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spelling pubmed-79526992021-03-15 Pan-cancer analysis of RNA expression of ANGIOTENSIN-I-CONVERTING ENZYME 2 reveals high variability and possible impact on COVID-19 clinical outcomes Elliott, Andrew Saul, Michelle Zeng, Jia Marshall, John L. Kim, Edward S. Nagasaka, Misako Lenz, Heinz-Josef Schwartzberg, Lee Spetzler, David Abraham, Jim Xiu, Joanne Stafford, Phillip Michael Korn, W. Sci Rep Article Patients with cancer demonstrate particularly poor outcomes from COVID-19. To provide information essential for understanding the biologic underpinnings of this association, we analyzed whole-transcriptome RNA expression data obtained from a large cohort of cancer patients to characterize expression of ACE2, TMPRSS2, and other proteases that are involved in viral attachment to and entry into target cells. We find substantial variability of expression of these factors across tumor types and identify subpopulations expressing ACE2 at very high levels. In some tumor types, especially in gastrointestinal cancers, expression of ACE2 and TMPRSS2 is highly correlated. Furthermore, we found infiltration with T-cell and natural killer (NK) cell infiltration to be particularly pronounced in ACE2-high tumors. These findings suggest that subsets of cancer patients exist with gene expression profiles that may be associated with heightened susceptibility to SARS-CoV-2 infection, in whom malignant tumors function as viral reservoir and possibly promote the frequently detrimental hyper-immune response in patients infected with this virus. Nature Publishing Group UK 2021-03-11 /pmc/articles/PMC7952699/ /pubmed/33707526 http://dx.doi.org/10.1038/s41598-021-84731-7 Text en © The Author(s) 2021 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 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/.
spellingShingle Article
Elliott, Andrew
Saul, Michelle
Zeng, Jia
Marshall, John L.
Kim, Edward S.
Nagasaka, Misako
Lenz, Heinz-Josef
Schwartzberg, Lee
Spetzler, David
Abraham, Jim
Xiu, Joanne
Stafford, Phillip
Michael Korn, W.
Pan-cancer analysis of RNA expression of ANGIOTENSIN-I-CONVERTING ENZYME 2 reveals high variability and possible impact on COVID-19 clinical outcomes
title Pan-cancer analysis of RNA expression of ANGIOTENSIN-I-CONVERTING ENZYME 2 reveals high variability and possible impact on COVID-19 clinical outcomes
title_full Pan-cancer analysis of RNA expression of ANGIOTENSIN-I-CONVERTING ENZYME 2 reveals high variability and possible impact on COVID-19 clinical outcomes
title_fullStr Pan-cancer analysis of RNA expression of ANGIOTENSIN-I-CONVERTING ENZYME 2 reveals high variability and possible impact on COVID-19 clinical outcomes
title_full_unstemmed Pan-cancer analysis of RNA expression of ANGIOTENSIN-I-CONVERTING ENZYME 2 reveals high variability and possible impact on COVID-19 clinical outcomes
title_short Pan-cancer analysis of RNA expression of ANGIOTENSIN-I-CONVERTING ENZYME 2 reveals high variability and possible impact on COVID-19 clinical outcomes
title_sort pan-cancer analysis of rna expression of angiotensin-i-converting enzyme 2 reveals high variability and possible impact on covid-19 clinical outcomes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952699/
https://www.ncbi.nlm.nih.gov/pubmed/33707526
http://dx.doi.org/10.1038/s41598-021-84731-7
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