Evidence map›Paper›PMID 39075222›Full record

ReviewNature reviews. Cancer2024

Circular RNA in cancer.

Vanessa M Conn, Arul M Chinnaiyan, Simon J Conn

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed
–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

171 citing papers in PubMed.

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  6. Genome stability disrupted by the circRBM39(4,5,6)-RPA2 axis represses breast tumorigenesis.Proceedings of the National Academy of Sciences of the United States of America · 2026
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111 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

3 authors.

Vanessa M ConnFlinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, South Australia, Australia.
Arul M ChinnaiyanMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0001-9282-3415
Simon J ConnFlinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, South Australia, Australia. simon.conn@flinders.edu.au.ORCID http://orcid.org/0000-0002-1376-4515

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decade, circular RNA (circRNA) research has evolved into a bona fide research field shedding light on the functional consequence of this unique family of RNA molecules in cancer. Although the method of formation and the abundance of circRNAs can differ from their cognate linear mRNA, the spectrum of interacting partners and their resultant cellular functions in oncogenesis are analogous. However, with 10 times more diversity in circRNA variants compared with linear RNA variants, combined with their hyperstability in the cell, circRNAs are equipped to influence every stage of oncogenesis. This is an opportune time to address the breadth of circRNA in cancer focused on their spatiotemporal expression, mutations in biogenesis factors and contemporary functions through each stage of cancer. In this Review, we highlight examples of functional circRNAs in specific cancers, which satisfy critical criteria, including their physical co-association with the target and circRNA abundance at stoichiometrically valid quantities. These considerations are essential to develop strategies for the therapeutic exploitation of circRNAs as biomarkers and targeted anticancer agents.

Indexed as

NeoplasmsRNA, CircularAnimalsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansBiomarkers, TumorRNA, Circular

Identifiers

What OpenQuestion holds

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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.