Pan-cancer analysis of RNA expression of ANGIOTENSIN-I-CONVERTING ENZYME 2 reveals high variability and possible impact on COVID-19 clinical outcomes
Abstract 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 e...
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Format: | Article |
Language: | English |
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Nature Portfolio
2021-03-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-84731-7 |
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author | Andrew Elliott Michelle Saul Jia Zeng John L. Marshall Edward S. Kim Misako Nagasaka Heinz-Josef Lenz Lee Schwartzberg David Spetzler Jim Abraham Joanne Xiu Phillip Stafford W. Michael Korn |
author_facet | Andrew Elliott Michelle Saul Jia Zeng John L. Marshall Edward S. Kim Misako Nagasaka Heinz-Josef Lenz Lee Schwartzberg David Spetzler Jim Abraham Joanne Xiu Phillip Stafford W. Michael Korn |
author_sort | Andrew Elliott |
collection | DOAJ |
description | Abstract 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. |
first_indexed | 2024-12-20T17:40:06Z |
format | Article |
id | doaj.art-de659d81a8a243fe8527f66b921f70ed |
institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-12-20T17:40:06Z |
publishDate | 2021-03-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Scientific Reports |
spelling | doaj.art-de659d81a8a243fe8527f66b921f70ed2022-12-21T19:31:08ZengNature PortfolioScientific Reports2045-23222021-03-011111810.1038/s41598-021-84731-7Pan-cancer analysis of RNA expression of ANGIOTENSIN-I-CONVERTING ENZYME 2 reveals high variability and possible impact on COVID-19 clinical outcomesAndrew Elliott0Michelle Saul1Jia Zeng2John L. Marshall3Edward S. Kim4Misako Nagasaka5Heinz-Josef Lenz6Lee Schwartzberg7David Spetzler8Jim Abraham9Joanne Xiu10Phillip Stafford11W. Michael Korn12Caris Life SciencesCaris Life SciencesCaris Life SciencesRuesch Center for the Cure of Gastrointestinal Cancers, Lombardi Comprehensive Cancer Center, Georgetown University Medical CenterLevine Cancer Institute, Atrium HealthDepartment of Oncology, Karmanos Cancer Institute, Wayne State UniversityUniversity of Southern California, Keck School of Medicine, Norris Comprehensive Cancer CenterMedical Oncology, West Cancer CenterCaris Life SciencesCaris Life SciencesCaris Life SciencesCaris Life SciencesCaris Life SciencesAbstract 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.https://doi.org/10.1038/s41598-021-84731-7 |
spellingShingle | Andrew Elliott Michelle Saul Jia Zeng John L. Marshall Edward S. Kim Misako Nagasaka Heinz-Josef Lenz Lee Schwartzberg David Spetzler Jim Abraham Joanne Xiu Phillip Stafford W. Michael Korn Pan-cancer analysis of RNA expression of ANGIOTENSIN-I-CONVERTING ENZYME 2 reveals high variability and possible impact on COVID-19 clinical outcomes Scientific Reports |
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 |
url | https://doi.org/10.1038/s41598-021-84731-7 |
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