Evidence map›Paper›PMID 31241025›Full record

ReviewMicroRNA (Shariqah, United Arab Emirates)2020

MicroRNAs: Crucial Regulators of Stress.

Rabih Roufayel, Seifedine Kadry

Open access · hybridAbstract readReview
In one paragraph

Review in MicroRNA (Shariqah, United Arab Emirates), 2020. 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
0.3field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

2 authors at 2 institutions in 2 countries.

Rabih RoufayelDepartment of Science, College of Engineering and Technology, American University of the Middle East, Egaila, Kuwait.
Seifedine KadryDepartment of Mathematics and Computer Science, Faculty of Science, Beirut Arab University, Beirut, Lebanon.
American University of the Middle East · KWBeirut Arab University · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSignaling pathways including gene silencing, cellular differentiation, homeostasis, development and apoptosis are regulated and controlled by a wide range of miRNAs.

objectiveDue to their potential binding sites in human-protein coding genes, many studies have also linked their altered expressions in various cancer types making them tumor suppressors agents.

methodsMoreover, each miRNA is predicted to have many mRNA targets indicating their extensive regulatory role in cell survival and developmental processes. Nowadays, diagnosis of early cancer stage development is now dependent on variable miRNA expression levels as potential oncogenic biomarkers in validating and targeting microRNAs for cancer therapy.

resultsAs the majority of miRNA, transcripts are derived from RNA polymerase II-directed transcription, stress response could result on a general reduction in the abundance of these transcripts. Over expression of various microRNAs have lead to B cell malignancy, potentiated KrasG12Dinduced lung tumorigenesis, chronic lymphocytic leukemia, lymphoproliferative disease and autoimmunity.

conclusionAltered miRNA expressions could have a significant impact on the abundance of proteins, making them attractive candidates as biomarkers for cancer detection and important regulators of apoptosis.

Indexed as

Biomarkers, TumorCarcinogenesisGene Expression Regulation, NeoplasticGenes, Tumor SuppressorHumansMicroRNAsNeoplasmsOncogenesRNA Polymerase IIStress, PhysiologicalBiomarkers, TumorMicroRNAsRNA Polymerase IIApoptosiscancerleukemiamiRNAsregulatorsstress.

Identifiers

PMID31241025
PMCPMC7366010
OpenAlexW2954559452

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.