Evidence map›Paper›PMID 34145432›Full record

ReviewNature reviews. Drug discovery2021

Noncoding RNA therapeutics - challenges and potential solutions.

Melanie Winkle, Sherien M El-Daly, Muller Fabbri, George A Calin

Abstract readReview
In one paragraph

Review in Nature reviews. Drug discovery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 963 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
963citing 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

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

  1. Pooled it
  2. In Vitro RNA Pulldown and Validation of lncRNA-Protein Interactions.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  3. Engineering microRNAs as multimodal cancer therapeutics.Molecular therapy. Nucleic acids · 2026
    Article
  4. Review
  5. Review
  6. Review
  7. Synthesis of Oligonucleotide Conjugates Employing a Diselenide Linker.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  8. RNA therapeutics: current status and future directions.Signal transduction and targeted therapy · 2026
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Long non-coding RNAs in exercise: the hidden regulators of adaptation.Pflugers Archiv : European journal of physiology · 2026
    Review
  20. Review

903 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.

Melanie WinkleTranslational Molecular Pathology, MD Anderson Cancer Center, Texas State University, Houston, TX, USA.
Sherien M El-DalyMedical Biochemistry Department, Medical Research Division - Cancer Biology and Genetics Laboratory, Centre of Excellence for Advanced Sciences - National Research Centre, Cairo, Egypt.
Muller FabbriCancer Biology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.ORCID http://orcid.org/0000-0002-8797-4793
George A CalinTranslational Molecular Pathology, MD Anderson Cancer Center, Texas State University, Houston, TX, USA. gcalin@mdanderson.org.ORCID http://orcid.org/0000-0002-7427-0578

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Xin Chen · 1996 to 2026
$56.2M
Novel extra cellular RNA-based combinatorial RNA inhibition therapyUH3TR000943 · NCATS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CALIN, GEORGE A., LOPEZ-BERESTEIN, GABRIEL · 2015 to 2017
$3.2M
Protein-coding and non-coding RNA biomarkers for early detection of CLLR01CA182905 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ABRUZZO, LYNNE V., CALIN, GEORGE A. · 2014 to 2018
$2.9M
miR-155 targeted therapeutics for precision medicine in lung cancerR01CA222007 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CALIN, GEORGE A., CRISTINI, VITTORIO · 2018 to 2022
$2.6M
Role of microRNAs released by Tumor Associated Macrophages within Exosomes in the chemoresistance of NeuroblastomaR01CA215753 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI FABBRI, MULLER · 2017 to 2021
$1.7M
Clinical Significance and Mechanism of Action of Exosomal microRNAs in Neuroblastoma chemoresistanceR01CA219024 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI FABBRI, MULLER · 2018 to 2022
$1.7M
Viral miRs and cellular miRs in sepsisR01GM122775 · NIGMS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CALIN, GEORGE A., LUPU, FLOREA · 2018 to 2020
$1.1M
NCATS NIH HHS UH3 TR000943NCI NIH HHS P30 CA071789NCI NIH HHS R01 CA182905NCI NIH HHS R01 CA215753NCI NIH HHS R01 CA219024NCI NIH HHS R01 CA222007NIGMS NIH HHS R01 GM122775
6 · The paper itself

Abstract

Therapeutic targeting of noncoding RNAs (ncRNAs), such as microRNAs (miRNAs) and long noncoding RNAs (lncRNAs), represents an attractive approach for the treatment of cancers, as well as many other diseases. Over the past decade, substantial effort has been made towards the clinical application of RNA-based therapeutics, employing mostly antisense oligonucleotides and small interfering RNAs, with several gaining FDA approval. However, trial results have so far been ambivalent, with some studies reporting potent effects whereas others demonstrated limited efficacy or toxicity. Alternative entities such as antimiRNAs are undergoing clinical testing, and lncRNA-based therapeutics are gaining interest. In this Perspective, we discuss key challenges facing ncRNA therapeutics - including issues associated with specificity, delivery and tolerability - and focus on promising emerging approaches that aim to boost their success.

Indexed as

Molecular Targeted TherapyAnimalsGenetic TherapyHumansNeoplasmsRNA, Long NoncodingRNA, Long Noncoding

Identifiers

PMID34145432
PMCPMC8212082

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.