Recent advances in SERS assays for detection of multiple extracellular vesicles biomarkers for cancer diagnosis

IF 5.8 3区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Nanoscale Pub Date : 2024-12-07 DOI:10.1039/D4NR04014G
Chloe Duffield, Laura M. Rey Gomez, Simon Chang-Hao Tsao and Yuling Wang
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Abstract

As the prevalence of cancer is escalating, there is an increased demand for early and sensitive diagnostic tools. A major challenge in early detection is the lack of specific biomarkers, and a readily accessible, sensitive and rapid detection method. To meet these challenges, cancer-derived small extracellular vesicles (sEVs) have been discovered as a new promising cancer biomarker due to the high abundance of sEVs in body fluids and their extensive cargo of biomarkers. Additionally, surface-enhanced Raman scattering (SERS) presents a sensitive, multiplexed, and rapid method that has gained attraction with recent studies showing promising results from patient samples for the multiplex detection of cancer sEVs. Various label-based SERS multiplex assays have been developed in the field of SERS including bead assays, lateral flow immunoassays, microfluidic devices, and artificial intelligence (AI)-based label-free SERS chips, targeting multiple surface proteins to ensure comprehensive multiplex diagnostics. These assays hold promise for enabling early detection, quantification, and subtyping of cancer-derived sEVs for cancer diagnostic applications. This review aims to provide a summary of the recent advances in the field of SERS multiplex assays for detection, quantification, and subtyping of sEVs to facilitate cancer diagnosis. This review further provides unique insights into the use of sEVs as a biomarker and aims to address the issues surrounding their translation from laboratories to clinics.

Abstract Image

SERS检测多种细胞外囊泡生物标志物用于癌症诊断的最新进展
随着癌症患病率的不断上升,对早期和敏感诊断工具的需求也在增加。早期检测的一个主要挑战是缺乏特异性的生物标志物,以及一种容易获得、敏感和快速的检测方法。为了应对这些挑战,癌症衍生的小细胞外囊泡(sev)被发现是一种新的有前景的癌症生物标志物,因为sev在体液中具有高丰度和广泛的生物标志物。此外,表面增强拉曼散射(SERS)是一种敏感、多路、快速的方法,最近的研究显示,从患者样本中进行癌症sev的多路检测有希望的结果,这一方法受到了广泛的关注。在SERS领域已经开发了各种基于标记的SERS多重检测方法,包括头分析、侧流免疫分析、微流控装置和人工智能(AI)无标记的SERS芯片,针对多种表面蛋白,以确保全面的多重诊断。这些检测有望实现癌症衍生sev的早期检测、量化和分型,用于癌症诊断应用。本文综述了SERS多重检测技术在sev检测、定量和分型方面的最新进展,以促进癌症诊断。这篇综述进一步提供了sev作为生物标志物的独特见解,旨在解决其从实验室到临床转化的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nanoscale
Nanoscale CHEMISTRY, MULTIDISCIPLINARY-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
12.10
自引率
3.00%
发文量
1628
审稿时长
1.6 months
期刊介绍: Nanoscale is a high-impact international journal, publishing high-quality research across nanoscience and nanotechnology. Nanoscale publishes a full mix of research articles on experimental and theoretical work, including reviews, communications, and full papers.Highly interdisciplinary, this journal appeals to scientists, researchers and professionals interested in nanoscience and nanotechnology, quantum materials and quantum technology, including the areas of physics, chemistry, biology, medicine, materials, energy/environment, information technology, detection science, healthcare and drug discovery, and electronics.
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