Evidence mapPaperPMID 41949207Full record

ReviewRNA biology2026

Toward precision oncology: deciphering the circRNA-EMT axis in cancer and its therapeutic implications.

Zekai Lv, Guang Xie, Wenming Xu

Abstract readReview
In one paragraph

Review in RNA biology, 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

3 authors.

Zekai LvJoint Lab of Reproductive Medicine of SCU-CUHK, Lab of Reproductive Genetics and Epigenetics, Department of Obstetrics/Gynecology, Key Laboratory of Birth Defects and Related Disease of Women and Children of MOE, West China Second University Hospital, Sichuan University, Chengdu, China.
Guang XieDepartment of Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Wenming XuJoint Lab of Reproductive Medicine of SCU-CUHK, Lab of Reproductive Genetics and Epigenetics, Department of Obstetrics/Gynecology, Key Laboratory of Birth Defects and Related Disease of Women and Children of MOE, West China Second University Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epithelial-mesenchymal transition is a pivotal driver of cancer metastasis, the leading cause of mortality in solid tumours. Circular RNAs, a unique class of endogenous RNAs characterized by covalently closed loop structures and high stability, have emerged as key regulators in this process. Accumulating evidence reveals widespread dysregulation of circRNAs during EMT, where they function as critical modulators - either promoting or inhibiting the metastatic cascade. This review systematically elucidates the mechanisms by which circRNAs govern EMT, focusing on their interactions with classical signalling pathways (TGF-β, Wnt/β-catenin, and PI3K/AKT) and core EMT-transcription factors. Furthermore, we evaluate the dual promise of circRNAs as stable, disease-specific biomarkers for liquid biopsy and as novel therapeutic targets. Deciphering the complex circRNA-EMT regulatory network not only deepens our understanding of metastasis but also provides a rational framework for developing precision oncology strategies to intercept metastatic disease.

Indexed as

Epithelial-Mesenchymal TransitionNeoplasmsPrecision MedicineRNA, CircularAnimalsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansNeoplasm MetastasisSignal TransductionBiomarkers, TumorRNA, CircularbiomarkersCircular RNAsepithelial-mesenchymal transitionsignalling pathwaystumour metastasis

Identifiers

PMID41949207
PMCPMC13078205

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.