Extracellular Vesicles in Cancer Diagnosis and Therapy: Advances, Challenges, and Prospects for Clinical Translation

细胞外囊泡在癌症诊断和治疗中的应用:进展、挑战和临床转化前景

阅读:5

Abstract

Extracellular vesicles (EVs) have emerged as promising tools for cancer diagnosis and therapy owing to their excellent biocompatibility, low immunogenicity, and ability to transport diverse bioactive molecules. This review summarizes recent advances in EVs research, focusing on isolation and detection technologies, their diagnostic and therapeutic applications in oncology, and the key challenges limiting clinical translation. Conventional EVs isolation methods, including ultracentrifugation, density-gradient centrifugation, and polymer-based precipitation, are discussed alongside emerging strategies such as immunoaffinity enrichment, microfluidic separation, lipid-mediated isolation, and thermophoretic enrichment, with comparative evaluation of their yield, purity, cost, and scalability. In cancer diagnosis, EV-associated biomolecules, such as miRNAs, mRNAs, proteins, and lncRNAs, show strong potential as liquid biopsy biomarkers for noninvasive early detection and dynamic disease monitoring. In therapeutic contexts, EVs serve as versatile carriers for gene molecules, chemotherapeutic agents, and small-molecule drugs, and can enhance immunotherapy and RNA-based treatments. Importantly, EVs released from metabolically active tissues, particularly skeletal muscle, contribute to systemic immune regulation and metabolic homeostasis, and their biogenesis and molecular cargo can be influenced by physical activity and exercise-related nutritional status. These insights highlight the need to integrate microengineering technologies, biomolecular profiling, standardized manufacturing systems, and lifestyle-related factors such as exercise and nutrition to accelerate the clinical translation of EV-based strategies in precision oncology and regenerative medicine.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。