Evidence map›Paper›PMID 33968341›Full record

ArticleGastroenterology and hepatology from bed to bench2021

Investigation of circRNA-miRNA-mRNA network in colorectal cancer using an integrative bioinformatics approach.

Sepideh Kadkhoda, Farzaneh Darbeheshti, Nima Rezaei, Ghasem Azizi-Tabesh, Faezeh Zolfaghari, Sadollah Tavakolibazaz, Reza Taslimi, Javad Tavakkoly-Bazzaz

Open access · greenAbstract read
In one paragraph

Article in Gastroenterology and hepatology from bed to bench, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  5. hsa_circ_0000520 Serves as a Prognostic Biomarker for Colorectal Cancer and Promotes in the Disease Progression.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2024
    Article
  6. Article
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  8. Article
  9. Review
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  11. Insights from DOCK2 in cell function and pathophysiology.Frontiers in molecular biosciences · 2022
    Review
  12. Hsa_circ_0000479/Hsa-miR-149-5p/RIG-I, IL-6 Axis: A Potential Novel Pathway to Regulate Immune Response against COVID-19.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
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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

8 authors at 4 institutions in 1 country.

Sepideh KadkhodaDepartment of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Farzaneh DarbeheshtiDepartment of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Nima RezaeiResearch Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.
Ghasem Azizi-TabeshDepartment of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Faezeh ZolfaghariDepartment of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Sadollah TavakolibazazDepartment of Gastrointestinal Dis., Imam Reza Hospital, Mazandaran University of Medical Sciences, Amol, Iran.
Reza TaslimiDepartment of Gastroenterology, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Javad Tavakkoly-BazzazDepartment of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IRUniversal Scientific Education and Research Network · IRMazandaran University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this study was to integrate both coding and non-coding available microarray data in the development of colorectal cancer (CRC) with bioinformatics analyses to attain a more inclusive pathobiologic map of their molecular interactions and functions.

backgroundIdentification of competing endogenous RNAs (ceRNAs), especially circRNAs, has become a new hotspot in cancer research, although their roles and underlying mechanisms in CRC development remain mostly unknown.

methodsMicroarray data was retrieved from the Gene Expression Omnibus (GEO) database and analyzed. Several bioinformatics tools and databases were applied for further elucidation. Principal component analysis (PCA) was run separately for four datasets. The dysregulated circRNA-miRNA-mRNA, co-expression, and protein-protein interaction (PPI) networks were established.

resultsPCA discloses colorectal tumors; normal tissue can be distinguished not only by mRNAs expression profile, but also by both circRNA and miRNA expression profiles. In this study, 14 DE mRNAs, 85 DE miRNAs, and 36 DE circRNAs were identified in CRC tissue and compared with normal tissue. Taking their potential interactions into account, a circRNA-miRNA-mRNA network was constructed. The results disclosed some DE circRNAs with potential oncogenic (circ_0014879) or tumor suppressive (circ_0001666 and circ_0000977) effects. Finally, the PPI network suggests pivotal roles for DOCK2 and PTPRC dysregulation in the progression of CRC, possibly by facilitating tumor escape from immune surveillance.

conclusionThe current study proposes a novel regulatory network consisting of DE circRNAs, miRNAs, and mRNAs in CRC development that highlights the roles of DE circRNAs at the upstream of oncotranscriptomic cascade in CRC development, suggesting their potential to be utilized as both prognostic and therapeutic biomarkers.

Indexed as

BioinformaticscircRNAColorectal cancerMicroarraymiRNA

Identifiers

PMID33968341
PMCPMC8101520
OpenAlexW3161231552

What Socratic holds

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LicenceCC BY
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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 Socratic graph.