Evidence map›Paper›PMID 34016945›Full record

ReviewSignal transduction and targeted therapy2021

Targeting circular RNAs as a therapeutic approach: current strategies and challenges.

Alina T He, Jinglei Liu, Feiya Li, Burton B Yang

Abstract readReview
In one paragraph

Review in Signal transduction and targeted therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 338 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
338citing 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

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

  1. Pooled it
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  11. Unifying and unique roles of non-coding RNA biomarkers in liver and heart fibrosis.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2026
    Review
  12. Article
  13. Observational
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  16. mMolecular medicine reports · 2026
    Review
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  20. Article

278 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.

Alina T HeSunnybrook Research Institute, Toronto, ON, Canada.
Jinglei LiuDepartment of Bioinformatics, ATCGene Inc, Guangzhou, China.
Feiya LiSunnybrook Research Institute, Toronto, ON, Canada.
Burton B YangSunnybrook Research Institute, Toronto, ON, Canada. byang@sri.utoronto.ca.

Funding

CIHR PJT-153105CIHR PJT-155962CIHR PJT-166107
6 · The paper itself

Abstract

Significant progress has been made in circular RNA (circRNA) research in recent years. Increasing evidence suggests that circRNAs play important roles in many cellular processes, and their dysregulation is implicated in the pathogenesis of various diseases. CircRNAs are highly stable and usually expressed in a tissue- or cell type-specific manner. Therefore, they are currently being explored as potential therapeutic targets. Gain-of-function and loss-of-function approaches are typically performed using circRNA expression plasmids and RNA interference-based strategies, respectively. These strategies have limitations that can be mitigated using nanoparticle and exosome delivery systems. Furthermore, recent developments show that the cre-lox system can be used to knockdown circRNAs in a cell-specific manner. While still in the early stages of development, the CRISPR/Cas13 system has shown promise in knocking down circRNAs with high specificity and efficiency. In this review, we describe circRNA properties and functions and highlight their significance in disease. We summarize strategies that can be used to overexpress or knockdown circRNAs as a therapeutic approach. Lastly, we discuss major challenges and propose future directions for the development of circRNA-based therapeutics.

Indexed as

CRISPR-Cas SystemsGene Knockdown TechniquesGenetic TherapyRNA, CircularHumansRNA, Circular

Identifiers

PMID34016945
PMCPMC8137869

What OpenQuestion holds

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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.