Evidence map›Paper›PMID 41756268›Full record

ReviewFrontiers in immunology2026

Functional roles and mechanisms of circRNA-protein interactions in cancer progression and tumor immune regulation.

Lin Yang, Chunhong Li, Xiulin Jiang, Yixiao Yuan, Chongxin Li, Qiang Zhou, Qiang Wang, Jie Xiong

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

8 authors.

Lin YangDepartment of Urology, Aerospace Center Hospital, Beijing, China.
Chunhong LiDepartment of Oncology, Suining Central Hospital, Suining, Sichuan, China.
Xiulin JiangDepartment of Systems Biology, City of Hope Comprehensive Cancer Center, Monrovia, CA, United States.
Yixiao YuanDepartment of Systems Biology, City of Hope Comprehensive Cancer Center, Monrovia, CA, United States.
Chongxin LiDepartment of Oncology, Qujing Central Hospital of Yunnan Province, Qujing, Yunan, China.
Qiang ZhouDepartment of Oncology, Suining Central Hospital, Suining, Sichuan, China.
Qiang WangDepartment of Gastrointestinal Surgical Unit, Suining Central Hospital, Suining, Sichuan, China.
Jie XiongDepartment of Urology, Aerospace Center Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circular RNAs (circRNAs) are a class of endogenous non-coding RNAs characterized by covalently closed loop structures, which confer high stability and evolutionary conservation. Beyond their well-known role as microRNA sponges, circRNAs can directly interact with proteins to modulate protein stability, activity, subcellular localization, and transcriptional or epigenetic regulation. These circRNA-protein interactions play critical roles in cancer progression by influencing tumor cell proliferation, metastasis, stemness, metabolic reprogramming, cell death, and therapy resistance. Moreover, they can shape the tumor immune microenvironment, affecting immune cell infiltration, immune evasion, and responses to immunotherapy. Understanding the mechanisms and functional consequences of circRNA-protein interactions provides new insights into tumor biology and offers promising avenues for cancer diagnosis, prognosis, and therapeutic intervention.

Indexed as

NeoplasmsRNA-Binding ProteinsRNA, CircularAnimalsDisease ProgressionGene Expression Regulation, NeoplasticHumansTumor MicroenvironmentRNA-Binding ProteinsRNA, Circularcancer progressioncircRNA-protein interactioncircular RNAmetastasisRNA-binding proteintherapy resistancetumor metabolismtumor microenvironment

Identifiers

PMID41756268
PMCPMC12932422

What Socratic holds

Textmetadata
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 Socratic graph.