Evidence map›Paper›PMID 41530849›Full record

ArticleMolecular cancer2026

CircROR1 binds HNRNPL to regulate FOXO4 pre-mRNA splicing, promoting cutaneous melanoma metastasis and serving as a therapeutic target via RNAi-loaded PEG-LNPs.

Ke Shi, Ke Cao, Mingzhu Yin, Can Liu, Huiqing Xie, Xiang Chen, Jianda Zhou

Abstract read
In one paragraph

Article in Molecular cancer, 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

7 authors.

Ke ShiDepartment of Plastic Surgery, Third Xiangya Hospital, Central South University, Changsha, 410000, P. R. China.
Ke CaoDepartment of Oncology, Third Xiangya Hospital, Central South University, Changsha, 410000, P. R. China.
Mingzhu YinClinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and, Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Chongqing, China.
Can LiuDepartment of Plastic Surgery, Third Xiangya Hospital, Central South University, Changsha, 410000, P. R. China.
Huiqing XieDepartment of Rehabilitation Medicine, Third Xiangya Hospital, Central South University, Changsha, 410000, P. R. China.
Xiang ChenDepartment of Dermatology, Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jianda ZhouDepartment of Plastic Surgery, Third Xiangya Hospital, Central South University, Changsha, 410000, P. R. China. zhoujianda@csu.edu.cn.

Funding

Chinese National key research and development program No.2022YFC2504700Chinese Natural Science Foundation of China No.81872219Hunan Province Major Research Initiative for High-Level Health and Medical Talents No.R2023045Hunan Provincial Natural Science Foundation No.2024JJ5542Xiaohe Sci-Tech Talents Special Funding under Hunan Provincial Sci-Tech Talents Sponsorship Program No.2023TJ-X07
6 · The paper itself

Abstract

backgroundCircular RNAs (circRNAs) contribute to gene expression regulation by interacting with splicing factors, a process that is often disrupted in cancers such as cutaneous melanoma (CM).

methodsA circRNA microarray analysis was performed to identify differentially expressed circRNAs. qRT‒PCR was conducted to confirm the expression of circROR1. CCK-8, colony formation, wound healing, and transwell assays were used to analyze proliferation, metastasis and apoptosis in CM cells. Xenograft models and IHC experiments were established to confirm the effects of circROR1 on tumor growth and metastasis in vivo. RNA sequencing and pull-down–MS experiments were performed to identify the mechanisms downstream of circROR1. Nuclear and cytoplasmic fractionation, along with FISH experiments, were conducted to determine the cellular localization of circROR1. To target circROR1 for CM treatment, we used a microfluidic strategy to develop FA-PEG(si-circ) nanoparticles for efficient siRNA delivery.

resultsIn CM samples, circROR1 levels were positively correlated with HNRNPL levels and tumor metastasis but negatively correlated with FOXO4 protein levels. CircROR1 was prevalent in CM, and its upregulation increased the levels of factors involved in epithelial–mesenchymal transition, cell migration, and invasion. CircROR1 overexpression conferred resistance to PD-L1-antibody therapy in CM cells by downregulating PD-L1 expression. CircROR1 recruited HNRNPL, influencing its nuclear translocation, and further prevented intron retention in FOXO4 mRNA. In HNRNPL-overexpressing CM cells, circROR1 upregulation inhibited FOXO4α expression and promoted FOXO4ζ expression. Increased FOXO4α expression counteracted circROR1’s effects and suppressed metastatic behaviors. FA-PEG(si-circ) enhanced siRNA stability and efficiency, reducing CM cell lung colonization in vivo.

conclusionThis study identified circROR1 as an oncogenic circular RNA that plays a crucial role in tumor progression and metastasis. CircROR1-targeted nanotherapy is a promising option for the treatment of metastatic cancer.

Indexed as

Cell Cycle ProteinsForkhead Transcription FactorsMelanomaRNA, CircularRNA InterferenceRNA PrecursorsRNA SplicingSkin NeoplasmsAnimalsCell Line, TumorCell ProliferationCutaneous Malignant MelanomaFemaleGene Expression Regulation, NeoplasticHumansMiceCell Cycle ProteinsForkhead Transcription FactorsFOXO4 protein, humanRNA, CircularRNA PrecursorsRNA, Small Interfering

Identifiers

PMID41530849
PMCPMC12934027

What OpenQuestion 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 OpenQuestion graph.