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SYSTEMATIC REVIEW article

Front. Bioeng. Biotechnol.

Sec. Nanobiotechnology

Tumor-Derived Extracellular Vesicles and Genitourinary Cancers: From Biological Mechanisms to Clinical Applications

Provisionally accepted
Xiaochui  WuXiaochui Wu1Xiaoyuan  XuXiaoyuan Xu1Jiancheng  DuJiancheng Du2Jianfeng  MeiJianfeng Mei3Xiejuan  MaoXiejuan Mao1Kecheng  LouKecheng Lou4*
  • 1Department of Urology, The Second Affiliated Hospital of Zhejiang University School of Medicine Lanxi Hospital, Lanxi, China
  • 2Department of Intensive Care Unit,, The Second Affiliated Hospital of Zhejiang University School of Medicine Lanxi Hospital, Lanxi, China
  • 3Department of General Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine Lanxi Hospital, Lanxi, China
  • 4The Second Affiliated Hospital of Zhejiang University School of Medicine Lanxi Hospital, Lanxi, China

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

Background: Genitourinary cancers, including prostate, bladder, and kidney cancers, represent significant global health burdens. Their early diagnosis and effective treatment continue to pose substantial clinical challenges. Traditional diagnostic methods often suffer from invasiveness or insufficient accuracy, whereas liquid biopsy technologies—particularly the analysis of tumor-derived extracellular vesicles (TDEVs)—offer transformative potential for non-invasive diagnosis and precision medicine. Objectives: This review comprehensively examines the biological functions, diagnostic utility, therapeutic potential, current challenges, and future directions of TDEVs in genitourinary cancers, aiming to bridge the gap between mechanistic understanding and clinical translation. Methods: A systematic literature search was conducted across PubMed, Embase, and Web of Science databases to collect studies published between 2018-2024 on TDEVs in prostate, bladder, and kidney cancers, with a focus on molecular mechanisms, clinical applications, and technological advances. Following PRISMA guidelines, we established predefined inclusion and exclusion criteria, conducted dual independent screening of search results, and performed quality assessment of included studies. A narrative review approach was employed to synthesize the evidence. Key Findings: TDEVs exhibit a dual nature in genitourinary cancers: they function as "architects" of tumor progression by remodeling the tumor microenvironment, inducing metastasis, and conferring therapeutic resistance, while simultaneously serving as "multifunctional allies" in cancer treatment. Clinically, TDEV-based liquid biopsy markers demonstrate superior performance compared to conventional detection methods, with engineered TDEVs emerging as promising platforms for targeted drug delivery and immunotherapy. However, significant challenges remain in standardization of isolation protocols, characterization methods, and efficient targeting strategies. Conclusion: TDEVs represent a paradigm shift in precision oncology for genitourinary malignancies. With advancing technologies in isolation methods, multi-omics integration, and artificial intelligence applications, TDEVs are poised to become indispensable tools for early tumor detection, real-time monitoring, and personalized therapeutic strategies, heralding a new era in uro-oncological practice.

Keywords: extracellular vesicles, tumor-derived exosomes, Genitourinary oncology, liquid biopsy, biomarkers, targeted therapy, precision medicine

Received: 17 Oct 2025; Accepted: 21 Nov 2025.

Copyright: © 2025 Wu, Xu, Du, Mei, Mao and Lou. 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: Kecheng Lou, 18329037615@163.com

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