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An investigation into the molecular basis of cancer comorbidities in coronavirus infection

Comorbidities in COVID‐19 patients often worsen clinical conditions and may represent death predictors. Here, the expression of five genes, known to encode coronavirus receptors/interactors (ACE2, TMPRSS2, CLEC4M, DPP4 and TMPRSS11D), was investigated in normal and cancer tissues, and their molecula...

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Autores principales: Facchiano, Antonio, Facchiano, Francesco, Facchiano, Angelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537529/
https://www.ncbi.nlm.nih.gov/pubmed/32970391
http://dx.doi.org/10.1002/2211-5463.12984
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author Facchiano, Antonio
Facchiano, Francesco
Facchiano, Angelo
author_facet Facchiano, Antonio
Facchiano, Francesco
Facchiano, Angelo
author_sort Facchiano, Antonio
collection PubMed
description Comorbidities in COVID‐19 patients often worsen clinical conditions and may represent death predictors. Here, the expression of five genes, known to encode coronavirus receptors/interactors (ACE2, TMPRSS2, CLEC4M, DPP4 and TMPRSS11D), was investigated in normal and cancer tissues, and their molecular relationships with clinical comorbidities were investigated. Using expression data from GENT2 databases, we evaluated gene expression in all anatomical districts from 32 normal tissues in 3902 individuals. Functional relationships with body districts were analyzed by chilibot. We performed DisGeNet, genemania and DAVID analyses to identify human diseases associated with these genes. Transcriptomic expression levels were then analyzed in 31 cancer types and healthy controls from approximately 43 000 individuals, using GEPIA2 and GENT2 databases. By performing receiver operating characteristic analysis, the area under the curve (AUC) was used to discriminate healthy from cancer patients. Coronavirus receptors were found to be expressed in several body districts. Moreover, the five genes were found to associate with acute respiratory syndrome, diabetes, cardiovascular diseases and cancer (i.e. the most frequent COVID‐19 comorbidities). Their expression levels were found to be significantly altered in cancer types, including colon, kidney, liver, testis, thyroid and skin cancers (P < 0.0001); AUC > 0.80 suggests that TMPRSS2, CLEC4M and DPP4 are relevant markers of kidney, liver, and thyroid cancer, respectively. The five coronavirus receptors are related to all main COVID‐19 comorbidities and three show significantly different expression in cancer versus control tissues. Further investigation into their role may help in monitoring other comorbidities, as well as for follow‐up of patients who have recovered from SARS‐CoV‐2 infection.
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spelling pubmed-75375292020-10-07 An investigation into the molecular basis of cancer comorbidities in coronavirus infection Facchiano, Antonio Facchiano, Francesco Facchiano, Angelo FEBS Open Bio Research Articles Comorbidities in COVID‐19 patients often worsen clinical conditions and may represent death predictors. Here, the expression of five genes, known to encode coronavirus receptors/interactors (ACE2, TMPRSS2, CLEC4M, DPP4 and TMPRSS11D), was investigated in normal and cancer tissues, and their molecular relationships with clinical comorbidities were investigated. Using expression data from GENT2 databases, we evaluated gene expression in all anatomical districts from 32 normal tissues in 3902 individuals. Functional relationships with body districts were analyzed by chilibot. We performed DisGeNet, genemania and DAVID analyses to identify human diseases associated with these genes. Transcriptomic expression levels were then analyzed in 31 cancer types and healthy controls from approximately 43 000 individuals, using GEPIA2 and GENT2 databases. By performing receiver operating characteristic analysis, the area under the curve (AUC) was used to discriminate healthy from cancer patients. Coronavirus receptors were found to be expressed in several body districts. Moreover, the five genes were found to associate with acute respiratory syndrome, diabetes, cardiovascular diseases and cancer (i.e. the most frequent COVID‐19 comorbidities). Their expression levels were found to be significantly altered in cancer types, including colon, kidney, liver, testis, thyroid and skin cancers (P < 0.0001); AUC > 0.80 suggests that TMPRSS2, CLEC4M and DPP4 are relevant markers of kidney, liver, and thyroid cancer, respectively. The five coronavirus receptors are related to all main COVID‐19 comorbidities and three show significantly different expression in cancer versus control tissues. Further investigation into their role may help in monitoring other comorbidities, as well as for follow‐up of patients who have recovered from SARS‐CoV‐2 infection. John Wiley and Sons Inc. 2020-10-12 /pmc/articles/PMC7537529/ /pubmed/32970391 http://dx.doi.org/10.1002/2211-5463.12984 Text en © 2020 The Authors. Published by FEBS Press and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Facchiano, Antonio
Facchiano, Francesco
Facchiano, Angelo
An investigation into the molecular basis of cancer comorbidities in coronavirus infection
title An investigation into the molecular basis of cancer comorbidities in coronavirus infection
title_full An investigation into the molecular basis of cancer comorbidities in coronavirus infection
title_fullStr An investigation into the molecular basis of cancer comorbidities in coronavirus infection
title_full_unstemmed An investigation into the molecular basis of cancer comorbidities in coronavirus infection
title_short An investigation into the molecular basis of cancer comorbidities in coronavirus infection
title_sort investigation into the molecular basis of cancer comorbidities in coronavirus infection
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537529/
https://www.ncbi.nlm.nih.gov/pubmed/32970391
http://dx.doi.org/10.1002/2211-5463.12984
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