Evidence map›Paper›PMID 42343695›Full record

ReviewChinese medical journal2026

Circulating circRNAs at the frontier of cancer detection, prognosis, and therapy.

Yue Zhang, Guanxuan Chen, Zhaoyun Liu, Xianrang Song, Xingguo Song

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Chinese medical journal, 2026. 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

5 authors.

Yue ZhangDepartment of Clinical Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China.
Guanxuan ChenOncology Department, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning 116000, China.
Zhaoyun LiuBreast Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China.
Xianrang SongShandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China.
Xingguo SongDepartment of Clinical Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractCircular RNAs (circRNAs) are distinguished from other noncoding RNAs by their unique loop structure, without 5' polar ends and 3' polyadenylated tails. They are stable and abundant in a wide range of eukaryotic taxa and exert functions via interactions with microRNAs (miRNAs), proteins, and DNA, including tumor-suppressive or oncogenic functions. Emerging evidence suggests that circRNAs show specific expression patterns in tumor tissues or circulation and changes in expression with respect to tumor stage; therefore, they possess strong potential as diagnostic, prognostic, and predictive biomarkers. Nevertheless, translating theoretical achievements in circRNA research to clinical practice is challenging. Herein, this review focuses on the important functions of circRNAs, including their roles in cancer, highlighting their utility for early cancer detection, prognosis, and treatment, in addition to a summary of vital detection methods for circulating circRNAs.

Indexed as

NeoplasmsRNA, CircularBiomarkers, TumorHumansMicroRNAsPrognosisBiomarkers, TumorMicroRNAsRNA, CircularCancer early detectionCancer treatmentsCirculating circRNAsPrognosisTumor biomarkers

Identifiers

PMID42343695
PMCPMC13441121

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.