Evidence map›Paper›PMID 33277969›Full record

ReviewJournal of cellular and molecular medicine2022

Circular RNA in cancer development and immune regulation.

Weizhen Li, Jia-Qiang Liu, Ming Chen, Jiang Xu, Di Zhu

Abstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

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

  1. Pooled it
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  14. Development of Mathematical Models Using circRNA Combinations (International journal of molecular sciences · 2025
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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

5 authors.

Weizhen LiDepartment of Laboratory Medicine, Sixth Affiliated Hospital of Yangzhou University, Taizhou, China.
Jia-Qiang LiuDepartment of Oral and Cranio-Maxillofacial, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ming ChenDepartment of Laboratory Medicine, Sixth Affiliated Hospital of Yangzhou University, Taizhou, China.
Jiang XuDepartment of Rehabilitation, Huai'an Second People's Hospital, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, China.
Di ZhuSchool of Pharmacy and Shanghai Pudong Hospital, Fudan University, Shanghai, China.ORCID 0000-0003-4622-4600

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circular RNAs (circRNAs) are a class of single-stranded RNAs with closed loop structures formed by covalent bonds of head and tail. Exploration of circRNAs is continually increasing; however, their functional relevance largely remains to be elucidated. In general, they are stable, abundant, conserved and expressed in tissue-specific manner. These distinct properties and their diverse cellular actions indicate that circRNAs modulate transcription and translation, and may even function as translation templates. Growing evidence reveals that circRNAs contribute to various physiological and pathological processes, including the initiation and progression of cancer. In this review, we present the current knowledge about circRNAs in cancer development, as well as their potential for use as biomarkers and even therapeutic targets. CircRNA's role in immune regulation and antitumour immunotherapy is also discussed. In addition, possible challenges in antitumour therapy are raised, and current progress and future perspectives are provided.

Indexed as

NeoplasmsRNA, CircularBiomarkersHumansImmunotherapyRNABiomarkersRNARNA, Circularbiomarkercancercircular RNAsimmunitytherapy

Identifiers

PMID33277969
PMCPMC8918416

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.