Evidence map›Paper›PMID 34155232›Full record

ArticleScientific reports2021

The risk of pancreatic adenocarcinoma following SARS-CoV family infection.

Amin Ebrahimi Sadrabadi, Ahmad Bereimipour, Arsalan Jalili, Mazaher Gholipurmalekabadi, Behrouz Farhadihosseinabadi, Alexander M Seifalian

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 16% of its field
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

9 citing papers in PubMed, 25 citations in OpenAlex.

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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

6 authors at 5 institutions in 2 countries.

Amin Ebrahimi Sadrabadi *Department of Stem Cells and Developmental Biology at Cell Science Research Centre, Royan Institute, Tehran, Iran.
Ahmad Bereimipour *Department of Stem Cells and Developmental Biology at Cell Science Research Centre, Royan Institute, Tehran, Iran.
Arsalan Jalili *Department of Stem Cells and Developmental Biology at Cell Science Research Centre, Royan Institute, Tehran, Iran.
Mazaher GholipurmalekabadiCellular and Molecular Research Centre, Department of Tissue Engineering and Regenerative Medicine, Iran University of Medical Sciences, Tehran, Iran.
Behrouz FarhadihosseinabadiHematopoetic Stem Cell Research Centre, Shahid Beheshti University of Medical Sciences, Tehran, Iran. beh_far1364@yahoo.com.ORCID http://orcid.org/0000-0001-6332-3067
Alexander M SeifalianNanotechnology and Regenerative Medicine Commercialization Centre (Ltd), London BioScience Innovation Centre, London, UK. a.seifalian@gmail.com.ORCID http://orcid.org/0000-0002-8334-9376
Royan Institute · IRIran University of Medical Sciences · IRLondon Centre for Nanotechnology · GBShahid Beheshti University of Medical Sciences · IRUniversity of Science and Culture · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID 19 disease has become a global catastrophe over the past year that has claimed the lives of over two million people around the world. Despite the introduction of vaccines against the disease, there is still a long way to completely eradicate it. There are concerns about the complications following infection with SARS-CoV-2. This research aimed to evaluate the possible correlation between infection with SARS-CoV viruses and cancer in an in-silico study model. To do this, the relevent dataset was selected from GEO database. Identification of differentially expressed genes among defined groups including SARS-CoV, SARS-dORF6, SARS-BatSRBD, and H1N1 were screened where the |Log FC| ≥ 1and p < 0.05 were considered statistically significant. Later, the pathway enrichment analysis and gene ontology (GO) were used by Enrichr and Shiny GO databases. Evaluation with STRING online was applied to predict the functional interactions of proteins, followed by Cytoscape analysis to identify the master genes. Finally, analysis with GEPIA2 server was carried out to reveal the possible correlation between candidate genes and cancer development. The results showed that the main molecular function of up- and down-regulated genes was "double-stranded RNA binding" and actin-binding, respectively. STRING and Cytoscape analysis presented four genes, PTEN, CREB1, CASP3, and SMAD3 as the key genes involved in cancer development. According to TCGA database results, these four genes were up-regulated notably in pancreatic adenocarcinoma. Our findings suggest that pancreatic adenocarcinoma is the most probably malignancy happening after infection with SARS-CoV family.

Indexed as

Influenza A Virus, H1N1 SubtypeSARS-CoV-2Severe acute respiratory syndrome-related coronavirusAdenocarcinomaCarcinogenesisCaspase 3COVID-19Cyclic AMP Response Element-Binding ProteinGene Expression RegulationGene OntologyHumansInfluenza, HumanPancreatic NeoplasmsProtein Interaction MapsPTEN PhosphohydrolaseRiskCASP3 protein, humanCaspase 3CREB1 protein, humanCyclic AMP Response Element-Binding ProteinPTEN PhosphohydrolasePTEN protein, humanSmad3 ProteinSMAD3 protein, human

Identifiers

PMID34155232
PMCPMC8217230
OpenAlexW3176649973

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.