Evidence map›Paper›PMID 33973623›Full record

ReviewDisease models & mechanisms2021

miRNA interplay: mechanisms and consequences in cancer.

Meredith Hill, Nham Tran

Open access · goldAbstract readReview
In one paragraph

Review in Disease models & mechanisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 375 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
375citing papers in PubMed, 2 pooled it
39.6field-weighted citation impact, top 1% 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

375 citing papers in PubMed, 2 syntheses or guidelines pooled it, 634 citations in OpenAlex.

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  6. Tuning epigenetics to enhance cancer virotherapy.Acta pharmaceutica Sinica. B · 2026
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315 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Meredith HillSchool of Biomedical Engineering, Centre for Health Technologies, Faculty of Engineering and IT, The University of Technology Sydney, Sydney, NSW 2007, Australia.ORCID 0000-0003-4637-1483
Nham TranSchool of Biomedical Engineering, Centre for Health Technologies, Faculty of Engineering and IT, The University of Technology Sydney, Sydney, NSW 2007, Australia.ORCID 0000-0001-7747-2530
University of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canonically, microRNAs (miRNAs) control mRNA expression. However, studies have shown that miRNAs are also capable of targeting non-coding RNAs, including long non-coding RNAs and miRNAs. The latter, termed a miRNA:miRNA interaction, is a form of self-regulation. In this Review, we discuss the three main modes of miRNA:miRNA regulation: direct, indirect and global interactions, and their implications in cancer biology. We also discuss the cell-type-specific nature of miRNA:miRNA interactions, current experimental approaches and bioinformatic techniques, and how these strategies are not sufficient for the identification of novel miRNA:miRNA interactions. The self-regulation of miRNAs and their impact on gene regulation has yet to be fully understood. Investigating this hidden world of miRNA self-regulation will assist in discovering novel regulatory mechanisms associated with disease pathways.

Indexed as

AnimalsGene Expression Regulation, NeoplasticHumansMicroRNAsModels, BiologicalNeoplasmsTranscription FactorsMicroRNAsTranscription FactorsmiRNA:miRNA interactionmiRNA regulationRNA regulation

Identifiers

PMID33973623
PMCPMC8077553
OpenAlexW3158158224

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.