Evidence map›Paper›PMID 40996665›Full record

ReviewDiscover oncology2025

Decoding the functional roles of circular RNAs linked to NF-κB pathway in carcinogenesis.

Wei Wang, Kang Zheng, Zhi Feng, Zhangyi Wang, Bo Wei, Zhenfa Li

Abstract readReview
In one paragraph

Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Wei Wang *Affiliated Hengyang Hospital of Hunan Normal University & Hengyang Central Hospital, Hengyang, 421001, Hunan, China.
Kang Zheng *Affiliated Hengyang Hospital of Hunan Normal University & Hengyang Central Hospital, Hengyang, 421001, Hunan, China.
Zhi Feng *Institute of Translational Medicine, School of Basic Medical, Hengyang Medical College, University of South China, Hengyang, 42100l, Hunan, China.
Zhangyi WangAffiliated Hengyang Hospital of Hunan Normal University & Hengyang Central Hospital, Hengyang, 421001, Hunan, China.
Bo WeiInstitute of Translational Medicine, School of Basic Medical, Hengyang Medical College, University of South China, Hengyang, 42100l, Hunan, China. usc-wb@usc.edu.cn.
Zhenfa LiAffiliated Hengyang Hospital of Hunan Normal University & Hengyang Central Hospital, Hengyang, 421001, Hunan, China. lizfa@163.com.

Funding

Natural Science Foundation of Hunan Province 2021JJ70131Natural Science Foundation of Hunan Province 2022JJ30106Natural Science Foundation of Hunan Province 2023JJ40101
6 · The paper itself

Abstract

CircRNAs, a class of covalently closed noncoding RNAs, have emerged as pivotal regulators of the NF-κB signaling pathway in carcinogenesis. Accumulating evidence demonstrates that the circRNA/NF-κB axis regulates key cancer-related processes, such as proliferation, invasion, apoptosis, and immune escape. These regulatory effects are mediated by circRNAs' functional mechanisms-including miRNA sponging, direct protein interactions, and translation into functional peptides-which converge on modulating NF-κB pathway activity. Expression levels of NF-κB-associated circRNAs correlate with clinicopathological features such as tumor stage, metastasis, and patient survival. Furthermore, these circRNAs hold promise as diagnostic and prognostic biomarkers and as novel targets for therapeutic intervention. In this review, we summarize recent advances in elucidating the mechanisms and clinical relevance of NF-κB-linked circRNAs across diverse cancer types.

Indexed as

BiomarkerCancerCircRNAFunctionMechanismNF-κB

Identifiers

PMID40996665
PMCPMC12463802

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.