Evidence map›Paper›PMID 34604414›Full record

ArticleReports of biochemistry & molecular biology2021

Prediction of Blood miRNA-mRNA Regulatory Network in Gastric Cancer.

Mona Nooh, Mojdeh Hakemi-Vala, Jamileh Nowroozi, Seyed-Reza Fatemi, Mehrouz Dezfulian

Open access · goldAbstract read
In one paragraph

Article in Reports of biochemistry & molecular biology, 2021. 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
0.8field-weighted citation impact, top 34% 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

11 citing papers in PubMed, 14 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

5 authors at 2 institutions in 1 country.

Mona NoohDepartment of Microbiology, Karaj Branch, Islamic Azad University, Karaj, Iran.
Mojdeh Hakemi-ValaDepartment of Microbiology, Medical School, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Jamileh NowrooziDepartment of microbiology, North Tehran Branch, Islamic Azad University, Tehran, Iran.
Seyed-Reza FatemiDepartment of Gasterology and Hepatology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mehrouz DezfulianDepartment of Microbiology, Karaj Branch, Islamic Azad University, Karaj, Iran.
Islamic Azad University, Karaj · IRShahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the study was to suggest a high specific and sensitive blood biomarker for early GC diagnosis.

methodsthe expression data of miRNAs and mRNAs were collected from the blood samples of the GC patients based on literature mining. Bioinformatics tools and databases (PANTHER, TargetScan, miRTarBase, miRDB, STRING, and Cytoscape) were used to predict the regulatory relationship. Subsequently, expression level of the selected miRNA was evaluated in the blood samples of gastritis patients to recognize the common miRNA between the GC and gastritis patients.

resultsAnalysis of 40 target genes by MCODE (installed in Cytoscape software) indicated 4 hub genes (WWP1, SKP2, KLHL42, and FBXO11) as a significant cluster in the PPI network related to miR-21, with Node Score Cutoff: 0.2, Degree Cutoff: 2 and K-Core: 2. In addition, the miRNA RT-qPCR results showed that, the expression level of miR-21 was significantly higher in gastritis group compared to the healthy group (p< 0.05).

conclusionthe present study clearly demonstrated the increasing level of blood miR-21 among the gastritis patients infected by

Indexed as

Blood ProfilingGastric CancerH. pyloriMir-21Regulatory Network

Identifiers

PMID34604414
PMCPMC8480291
OpenAlexW3198694042

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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.