Evidence map›Paper›PMID 23716670›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Toll-like receptor 3 (TLR3) activation induces microRNA-dependent reexpression of functional RARβ and tumor regression.

Roberta Galli, Alessio Paone, Muller Fabbri, Nicola Zanesi, Federica Calore, Luciano Cascione, Mario Acunzo, Antonella Stoppacciaro, Andrea Tubaro, Francesca Lovat and 8 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Association between Toll-like receptor 3 polymorphisms and cancer risk: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Non-coding RNA crosstalk with nuclear receptors in liver disease.Biochimica et biophysica acta. Molecular basis of disease · 2021
    Review
  13. Roles of Toll-Like Receptor 3 in Human Tumors.Frontiers in immunology · 2021
    Review
  14. Aging · 2020
    Article
  15. Article
  16. Retinoic acid and microRNA.Methods in enzymology · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 6 institutions in 2 countries.

Roberta GalliDepartment of Anatomical, Histological, Forensic & Orthopaedic Sciences, DAHFMO, Unit of Histology and Medical Embryology, Istituto Pasteur-Fondazione Cenci Bolognetti, La Sapienza University of Rome, 00161 Rome, Italy.
Alessio Paone
Muller Fabbri
Nicola Zanesi
Federica Calore
Luciano Cascione
Mario Acunzo
Antonella Stoppacciaro
Andrea Tubaro
Francesca Lovat
Pierluigi Gasparini
Paolo Fadda
Hansjuerg Alder
Stefano Volinia
Antonio Filippini
Elio Ziparo
Anna Riccioli
Carlo M Croce
The Ohio State University · USSapienza University of Rome · ITAzienda Ospedaliera Sant'Andrea · ITUniversity of Catania · ITUniversity of Ferrara · ITUniversity of Southern California · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
Identifying non-coding RNAs for early detection and prevention of lung cancerU01CA166905 · NCI · OHIO STATE UNIVERSITY · PI CROCE, CARLO M, PASS, HARVEY IRA · 2013 to 2017
$4.5M
Loss of miR-29s as predictor of response to demethylating agentsRC2CA148302 · NCI · OHIO STATE UNIVERSITY · PI CROCE, CARLO M · 2009 to 2010
$4.1M
MiRNAs/UCRs: biomarkers for cancer risk, tumor detection, progression & treatmentU01CA152758 · NCI · OHIO STATE UNIVERSITY · PI CROCE, CARLO M · 2010 to 2014
$1.8M
NCI NIH HHS P30 CA016058NCI NIH HHS RC2 CA148302NCI NIH HHS RC2CA148302NCI NIH HHS U01 CA152758NCI NIH HHS U01 CA166905NCI NIH HHS UO1CA152758
6 · The paper itself

Abstract

Toll-like receptor 3 (TLR3) is a key effector of the innate immune system against viruses. Activation of TLR3 exerts an antitumoral effect through a mechanism of action still poorly understood. Here we show that TLR3 activation by polyinosinic:polycytidylic acid induces up-regulation of microRNA-29b, -29c, -148b, and -152 in tumor-derived cell lines and primary tumors. In turn, these microRNAs induce reexpression of epigenetically silenced genes by targeting DNA methyltransferases. In DU145 and TRAMP-C1 prostate and MDA-MB-231 breast cancer cells, we demonstrated that polyinosinic:polycytidylic acid-mediated activation of TLR3 induces microRNAs targeting DNA methyltransferases, leading to demethylation and reexpression of the oncosuppressor retinoic acid receptor beta (RARβ). As a result, cancer cells become sensitive to retinoic acid and undergo apoptosis both in vitro and in vivo. This study provides evidence of an antitumoral mechanism of action upon TLR3 activation and the biological rationale for a combined TLR3 agonist/retinoic acid treatment of prostate and breast cancer.

Indexed as

AnimalsApoptosisBreast NeoplasmsCell Line, TumorDNA (Cytosine-5-)-MethyltransferasesDNA MethylationFemaleGene Expression Regulation, NeoplasticHumansImmunoblottingMaleMiceMice, NudeMicroRNAsNeoplasmsPoly I-CDNA (Cytosine-5-)-MethyltransferasesMicroRNAsMIRN148 microRNA, humanMIRN152 microRNA, humanMIRN29a microRNA, humanPoly I-CReceptors, Retinoic Acidretinoic acid receptor betaTLR3 protein, humanToll-Like Receptor 3Tretinoincombined chemotherapyinflammation

Identifiers

PMID23716670
PMCPMC3683754
OpenAlexW2046445602

What OpenQuestion holds

Textmetadata
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.