Evidence map›Paper›PMID 37746664›Full record

ArticleTheScientificWorldJournal2023

Application of Protein-Protein Interaction Network Analysis in Order to Identify Cervical Cancer miRNA and mRNA Biomarkers.

Parinaz Tabrizi-Nezhadi, Habib MotieGhader, Masoud Maleki, Soner Sahin, Sajjad Nematzadeh, Mahsa Torkamanian-Afshar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in TheScientificWorldJournal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Parinaz Tabrizi-NezhadiDepartment of Biology, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
Habib MotieGhaderDepartment of Biology, Tabriz Branch, Islamic Azad University, Tabriz, Iran.ORCID https://orcid.org/0000-0001-8931-242X
Masoud MalekiDepartment of Biology, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
Soner SahinDepartment of Health Ecosystem, Medical Faculty, Nisantasi University, Istanbul, Turkey.
Sajjad NematzadehSoftware Engineering Department, Engineering Faculty, Topkapi University, Istanbul, Turkey.
Mahsa Torkamanian-AfsharDepartment of Computer Engineering, Faculty of Engineering and Architecture, Nisantasi University, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer (CC) is one of the world's most common and severe cancers. This cancer includes two histological types: squamous cell carcinoma (SCC) and adenocarcinoma (ADC). The current study aims at identifying novel potential candidate mRNA and miRNA biomarkers for SCC based on a protein-protein interaction (PPI) and miRNA-mRNA network analysis. The current project utilized a transcriptome profile for normal and SCC samples. First, the PPI network was constructed for the 1335 DEGs, and then, a significant gene module was extracted from the PPI network. Next, a list of miRNAs targeting module's genes was collected from the experimentally validated databases, and a miRNA-mRNA regulatory network was formed. After network analysis, four driver genes were selected from the module's genes including

Indexed as

MicroRNAsUterine Cervical NeoplasmsBiomarkersFemaleHumansNF-kappa BProtein Interaction MapsRNA, MessengerBiomarkersMicroRNAsNF-kappa BRNA, MessengerTONSL protein, human

Identifiers

PMID37746664
PMCPMC10513823

What OpenQuestion 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 OpenQuestion graph.