Evidence map›Paper›PMID 32970391›Full record

ArticleFEBS open bio2020

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

Antonio Facchiano, Francesco Facchiano, Angelo Facchiano

Abstract read
In one paragraph

Article in FEBS open bio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
  2. Effect of Pituitary-Target Gland Axis on RAAS in the Context of COVID-19.International journal of medical sciences · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
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  10. COVID-19-related thyroid conditions (Review).Experimental and therapeutic medicine · 2021
    Review
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Antonio FacchianoIstituto Dermopatico dell'Immacolata, IDI-IRCCS, Rome, Italy.ORCID 0000-0002-4243-2392
Francesco FacchianoDepartment of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy.ORCID 0000-0003-4313-0617
Angelo FacchianoInstitute of Food Science, National Research Council, Avellino, Italy.ORCID 0000-0002-7077-4912

Funding

Ministero della Salute RC-2018_3.4
6 · The paper itself

Abstract

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.

Indexed as

Gene Expression Regulation, NeoplasticAngiotensin-Converting Enzyme 2Cell Adhesion MoleculesComorbidityCOVID-19Databases, GeneticDipeptidyl Peptidase 4EpidemicsFemaleGene Expression ProfilingGenetic Predisposition to DiseaseHumansLectins, C-TypeMaleMembrane ProteinsNeoplasmsACE2 protein, humanAngiotensin-Converting Enzyme 2Cell Adhesion MoleculesCLEC4M protein, humanDipeptidyl Peptidase 4DPP4 protein, humanLectins, C-TypeMembrane ProteinsReceptors, Cell SurfaceSerine EndopeptidasesSerine ProteasesTMPRSS11D protein, humanTMPRSS2 protein, humancomorbiditycoronaviruskidney cancerprostate cancerskin cancerthyroid cancer

Identifiers

PMID32970391
PMCPMC7537529

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.