Wang Dongli, Shen Ye, Qian Hui, Jiang Jiajia, Xu Wenrong
Aoyang Institute of Cancer, Affiliated Aoyang Hospital of Jiangsu University, 279 Jingang Road, Suzhou Jiangsu 215600, China.
Zhenjiang Key Laboratory of High Technology Research on Exosomes Foundation and Transformation Application, Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang Jiangsu 212013, China.
Theranostics. 2024 Oct 28;14(19):7309-7332. doi: 10.7150/thno.102437. eCollection 2024.
Extracellular vesicles (EVs) have emerged as valuable biomarkers in liquid biopsies owing to their stability, accessibility, and ability to encapsulate nucleic acids. The majority of existing methodologies for detecting EV nucleic acid biomarkers require the lysis of EVs to extract DNA or RNA. This process is labor-intensive and may lead to the loss and degradation of nucleic acids. However, the emerging field of EV assays offers innovative tools for liquid biopsy, facilitating direct profiling of nucleic acids within intact EVs and reducing sample handling procedures. This review focuses on the promising and innovative field of EV nucleic acid analysis. It examines the translational potential of EV nucleic acid analysis in liquid biopsies from detection strategies, diagnostic applications, and diagnostic aids for single EV analysis and machine learning techniques. We highlight the innovative approach of EV nucleic acid assays and provide novel insights into advancing liquid biopsy technology. This approach shows a promising avenue for improving EV-based cancer diagnosis and guiding personalized treatment with minimal invasiveness.
细胞外囊泡(EVs)因其稳定性、易获取性以及封装核酸的能力,已成为液体活检中有价值的生物标志物。大多数现有的检测EV核酸生物标志物的方法需要裂解EVs以提取DNA或RNA。这个过程 labor-intensive 且可能导致核酸的丢失和降解。然而,新兴的EV检测领域为液体活检提供了创新工具,有助于对完整EVs内的核酸进行直接分析,并减少样本处理程序。本综述聚焦于EV核酸分析这一有前景的创新领域。它从检测策略、诊断应用以及用于单个EV分析和机器学习技术的诊断辅助等方面,审视了EV核酸分析在液体活检中的转化潜力。我们强调了EV核酸检测的创新方法,并为推进液体活检技术提供了新的见解。这种方法为以最小的侵入性改善基于EV的癌症诊断和指导个性化治疗展示了一条有前景的途径。
原文中“labor-intensive”未翻译,可能是你提供的原文有遗漏,正常应翻译为“劳动密集型的” 。