Profiling and functional analysis of exosomal circRNAs from EBV-associated gastric carcinoma CSCs

Recent studies have found that Epstein-Barr virus (EBV) encodes circular RNAs (ebv-circRNAs) that are involved in tumorigenesis process in EBV-associated gastric carcinoma (EBVaGC). Since little is known whether circRNAs can be enriched into exosomes and their functions in EBVaGC cancer stem cells (CSCs). Exosomes from EBVaGC CSCs were isolated according to differential ultracentrifugation method. Expression patterns of ebv-circRNAs and human circRNAs in exosomes of EBVaGC CSCs were analyzed by RNA sequencing. CCK-8 assay, wound healing assay, transwell assay and apoptosis analysis were performed to explore the function of exosomes in EBVaGC CSCs. Data differences between two groups were evaluated using Student's t-test and survival analysis was performed by Kaplan–Meier methodology. Two circRNAs, ebv-circLMP2A and hsa-circRNF13 were enriched in EBVaGC CSCs derived exosomes, and positively associated with EBVaGC patients with metastasis. Bioinformatics analysis predicted that miR-5683 is the most likely potential target for both ebv-circLMP2A and hsa-circRNF13, and lower miR-5683 expression was positively correlated with microvessel density and Ki67 expression in clinical samples of EBVaGC. Cytology experiments preliminarily showed that EBVaGC CSCs derived exosomes significantly promoted the invasive growth of EBVaGC cells. Our findings suggest that exosomal circRNAs could be apromising diagnostic and therapeutic target for EBVaGC.

Authors

Institutions

Publication Details

Journal
Journal of Cancer Research and Clinical Oncology
Published
2026-01-08
DOI
https://doi.org/10.1007/s00432-025-06414-4
Primary Topic
Circular RNAs in diseases
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Profiling and functional analysis of exosomal circRNAs from EBV-associated gastric carcinoma CSCs

Lin Sun, Yiting Shao, Li-ping Gong, Jian-ning Chen et al.
Journal of Cancer Research and Clinical Oncology
Circular RNAs in diseases
article

Profiling and functional analysis of exosomal circRNAs from EBV-associated gastric carcinoma CSCs

Lin Sun, Yiting Shao, Li-ping Gong, Jian-ning Chen, Lu-ying Tang, Yu Du
article en

Abstract

Recent studies have found that Epstein-Barr virus (EBV) encodes circular RNAs (ebv-circRNAs) that are involved in tumorigenesis process in EBV-associated gastric carcinoma (EBVaGC). Since little is known whether circRNAs can be enriched into exosomes and their functions in EBVaGC cancer stem cells (CSCs). Exosomes from EBVaGC CSCs were isolated according to differential ultracentrifugation method. Expression patterns of ebv-circRNAs and human circRNAs in exosomes of EBVaGC CSCs were analyzed by RNA sequencing. CCK-8 assay, wound healing assay, transwell assay and apoptosis analysis were performed to explore the function of exosomes in EBVaGC CSCs. Data differences between two groups were evaluated using Student's t-test and survival analysis was performed by Kaplan–Meier methodology. Two circRNAs, ebv-circLMP2A and hsa-circRNF13 were enriched in EBVaGC CSCs derived exosomes, and positively associated with EBVaGC patients with metastasis. Bioinformatics analysis predicted that miR-5683 is the most likely potential target for both ebv-circLMP2A and hsa-circRNF13, and lower miR-5683 expression was positively correlated with microvessel density and Ki67 expression in clinical samples of EBVaGC. Cytology experiments preliminarily showed that EBVaGC CSCs derived exosomes significantly promoted the invasive growth of EBVaGC cells. Our findings suggest that exosomal circRNAs could be apromising diagnostic and therapeutic target for EBVaGC.

Journal of Cancer Research and Clinical OncologyVol. 152(1)
Sun Yat-sen University (CN), Sixth Affiliated Hospital of Sun Yat-sen University (CN), Third Affiliated Hospital of Sun Yat-sen University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Guangdong Medical Research Foundation
Good health and well-being
Openalex Percentile: Top 93%
Circular RNAs in diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.