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The putative mechanistic insights on how SARS-CoV-2 might influence the outcomes in cancer patients

Early evidence indicated that cancer patients are at increased risk of adverse outcomes and mortality after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. To determine the putative mechanism by which SARS-CoV-2 affects patients with cancers, we conducted a preliminary explor...

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Autores principales: Deng, Jingwen, Cai, Xiaopeng, Chen, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449280/
https://www.ncbi.nlm.nih.gov/pubmed/36071512
http://dx.doi.org/10.1186/s40164-022-00306-w
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author Deng, Jingwen
Cai, Xiaopeng
Chen, Zhi
author_facet Deng, Jingwen
Cai, Xiaopeng
Chen, Zhi
author_sort Deng, Jingwen
collection PubMed
description Early evidence indicated that cancer patients are at increased risk of adverse outcomes and mortality after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. To determine the putative mechanism by which SARS-CoV-2 affects patients with cancers, we conducted a preliminary exploration at the molecular level. We collected differentially expressed proteins (DEPs) in the lung, liver, kidney, and thyroid of postmortem coronavirus disease 2019 (COVID-19) and non-COVID-19 patients from iProX database. Furthermore, we collected differentially expressed genes (DEGs) related to overall survival (OS) in lung cancer, liver cancer, kidney cancer and thyroid cancer based on the Cancer Genome Atlas (TCGA) database. We obtained the intersection of DEPs and DEGs and identified the roles of shared and remaining DEPs in corresponding cancers based on published research. Finally, we found 192, 179, 154 and 147 DEPs in lung, liver, kidney and thyroid tissues and 486, 1140, 2245 and 31 DEGs related to OS in lung cancer, liver cancer, kidney cancer and thyroid cancer, respectively. 4, 8, 6 and 0 shared genes/proteins and 48, 42, 14 and 10 remaining proteins were verified to play a role in lung cancer, liver cancer, kidney cancer and thyroid cancer, respectively. Changes in 85% (44/52), 78% (39/50), 80% (16/20) and 90% (9/10) of the verified genes/proteins, including shared and remaining genes, showed poor effects on patients with the 4 cancer types with COVID-19. In conclusion, the changes in genes/proteins caused by SARS-CoV-2 might dictate the different degrees of adverse outcomes in patients with different tumors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40164-022-00306-w.
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spelling pubmed-94492802022-09-07 The putative mechanistic insights on how SARS-CoV-2 might influence the outcomes in cancer patients Deng, Jingwen Cai, Xiaopeng Chen, Zhi Exp Hematol Oncol Correspondence Early evidence indicated that cancer patients are at increased risk of adverse outcomes and mortality after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. To determine the putative mechanism by which SARS-CoV-2 affects patients with cancers, we conducted a preliminary exploration at the molecular level. We collected differentially expressed proteins (DEPs) in the lung, liver, kidney, and thyroid of postmortem coronavirus disease 2019 (COVID-19) and non-COVID-19 patients from iProX database. Furthermore, we collected differentially expressed genes (DEGs) related to overall survival (OS) in lung cancer, liver cancer, kidney cancer and thyroid cancer based on the Cancer Genome Atlas (TCGA) database. We obtained the intersection of DEPs and DEGs and identified the roles of shared and remaining DEPs in corresponding cancers based on published research. Finally, we found 192, 179, 154 and 147 DEPs in lung, liver, kidney and thyroid tissues and 486, 1140, 2245 and 31 DEGs related to OS in lung cancer, liver cancer, kidney cancer and thyroid cancer, respectively. 4, 8, 6 and 0 shared genes/proteins and 48, 42, 14 and 10 remaining proteins were verified to play a role in lung cancer, liver cancer, kidney cancer and thyroid cancer, respectively. Changes in 85% (44/52), 78% (39/50), 80% (16/20) and 90% (9/10) of the verified genes/proteins, including shared and remaining genes, showed poor effects on patients with the 4 cancer types with COVID-19. In conclusion, the changes in genes/proteins caused by SARS-CoV-2 might dictate the different degrees of adverse outcomes in patients with different tumors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40164-022-00306-w. BioMed Central 2022-09-07 /pmc/articles/PMC9449280/ /pubmed/36071512 http://dx.doi.org/10.1186/s40164-022-00306-w Text en © The Author(s) 2022 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 Correspondence
Deng, Jingwen
Cai, Xiaopeng
Chen, Zhi
The putative mechanistic insights on how SARS-CoV-2 might influence the outcomes in cancer patients
title The putative mechanistic insights on how SARS-CoV-2 might influence the outcomes in cancer patients
title_full The putative mechanistic insights on how SARS-CoV-2 might influence the outcomes in cancer patients
title_fullStr The putative mechanistic insights on how SARS-CoV-2 might influence the outcomes in cancer patients
title_full_unstemmed The putative mechanistic insights on how SARS-CoV-2 might influence the outcomes in cancer patients
title_short The putative mechanistic insights on how SARS-CoV-2 might influence the outcomes in cancer patients
title_sort putative mechanistic insights on how sars-cov-2 might influence the outcomes in cancer patients
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449280/
https://www.ncbi.nlm.nih.gov/pubmed/36071512
http://dx.doi.org/10.1186/s40164-022-00306-w
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