Evidence map›Paper›PMID 31340025›Full record

ReviewNucleic acids research2019

Systems biology-based investigation of cooperating microRNAs as monotherapy or adjuvant therapy in cancer.

Xin Lai, Martin Eberhardt, Ulf Schmitz, Julio Vera

Abstract readReview
In one paragraph

Review in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 1 pooled it
–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

103 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  15. Modeling ncRNA Synergistic Regulation in Cancer.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  16. Review
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  18. Article
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43 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

4 authors.

Xin LaiLaboratory of Systems Tumor Immunology, Department of Dermatology, Universitätsklinikum Erlangen, 91052 Erlangen, Germany.
Martin EberhardtLaboratory of Systems Tumor Immunology, Department of Dermatology, Universitätsklinikum Erlangen, 91052 Erlangen, Germany.
Ulf SchmitzComputational BioMedicine Laboratory Centenary Institute, The University of Sydney, 2006 Camperdown, Australia.
Julio VeraLaboratory of Systems Tumor Immunology, Department of Dermatology, Universitätsklinikum Erlangen, 91052 Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are short, noncoding RNAs that regulate gene expression by suppressing mRNA translation and reducing mRNA stability. A miRNA can potentially bind many mRNAs, thereby affecting the expression of oncogenes and tumor suppressor genes as well as the activity of whole pathways. The promise of miRNA therapeutics in cancer is to harness this evolutionarily conserved mechanism for the coordinated regulation of gene expression, and thus restoring a normal cell phenotype. However, the promiscuous binding of miRNAs can provoke unwanted off-target effects, which are usually caused by high-dose single-miRNA treatments. Thus, it is desirable to develop miRNA therapeutics with increased specificity and efficacy. To achieve that, we propose the concept of miRNA cooperativity in order to exert synergistic repression on target genes, thus lowering the required total amount of miRNAs. We first review miRNA therapies in clinical application. Next, we summarize the knowledge on the molecular mechanism and biological function of miRNA cooperativity and discuss its application in cancer therapies. We then propose and discuss a systems biology approach to investigate miRNA cooperativity for the clinical setting. Altogether, we point out the potential of miRNA cooperativity to reduce off-target effects and to complement conventional, targeted, or immune-based therapies for cancer.

Indexed as

Gene Expression Regulation, NeoplasticAntagomirsAntineoplastic AgentsApoptosisChemotherapy, AdjuvantGene Regulatory NetworksHumansMicroRNAsNeoplasmsOligoribonucleotidesRNA, MessengerRNA, NeoplasmRNA StabilitySmall Molecule LibrariesSystems BiologyTumor Suppressor ProteinsAntagomirsAntineoplastic AgentsMicroRNAsOligoribonucleotidesRNA, MessengerRNA, NeoplasmSmall Molecule LibrariesTumor Suppressor Proteins

Identifiers

PMID31340025
PMCPMC6735922

What OpenQuestion holds

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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.