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REVIEW article

Front. Cell Dev. Biol.

Sec. Cancer Cell Biology

Volume 13 - 2025 | doi: 10.3389/fcell.2025.1694257

Extracellular Vesicle-Derived microRNAs in Renal Cell Carcinoma: Biological Roles and Clinical Applications

Provisionally accepted
Jiahui  HeJiahui He1,2Lanfeng  WangLanfeng Wang3Bingqing  YuBingqing Yu1,2Wengbin  HuangWengbin Huang1,4Chen  OuyangChen Ouyang4Mingcan  ZhouMingcan Zhou1,2Rong  HuRong Hu1,2,4Zhiping  ChenZhiping Chen1,2,4*
  • 1Department of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi Province, China
  • 2College of Medical Technology, Gannan Medical University, Ganzhou, Jiangxi Province, China
  • 3Department of Nephrology, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi Province, China
  • 4First Clinical Medical College, Gannan Medical University, Ganzhou, Jiangxi Province, China

The final, formatted version of the article will be published soon.

Renal cell carcinoma (RCC) is a common malignant tumour of the urinary system, characterised by high heterogeneity and a tendency to metastasise, with poor prognosis in advanced patients. Although surgical resection and targeted therapies such as tyrosine kinase inhibitors and immune checkpoint inhibitors have significantly improved survival outcomes in some patients, drug resistance and recurrence remain clinical challenges.In recent years, extracellular vesicles (EVs) and the microRNAs (miRNAs) they carry have emerged as a research hotspot due to their critical roles in tumour initiation, progression, immune regulation, and drug resistance. This systematic review summarises the biological functions of EVs-derived miRNAs in renal cell carcinoma and their potential applications in clinical diagnosis and treatment, with a focus on their value in diagnosis, prognosis, immune regulation, and prediction of treatment response.

Keywords: extracellular vesicles, miRNAs, Renal cell carcinoma, Kidney cancer, biomarker

Received: 28 Aug 2025; Accepted: 08 Oct 2025.

Copyright: © 2025 He, Wang, Yu, Huang, Ouyang, Zhou, Hu and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Zhiping Chen, hy103628@163.com

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