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用于 NSCLC 衍生外泌体的比率型电化学 OR 门检测。

Ratiometric electrochemical OR gate assay for NSCLC-derived exosomes.

机构信息

Department of Clinical Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.

Shanghai Institute of Thoracic Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.

出版信息

J Nanobiotechnology. 2023 Mar 24;21(1):104. doi: 10.1186/s12951-023-01833-2.

Abstract

Non-small cell lung cancer (NSCLC) is the most common pathological type of LC and ranks as the leading cause of cancer deaths. Circulating exosomes have emerged as a valuable biomarker for the diagnosis of NSCLC, while the performance of current electrochemical assays for exosome detection is constrained by unsatisfactory sensitivity and specificity. Here we integrated a ratiometric biosensor with an OR logic gate to form an assay for surface protein profiling of exosomes from clinical serum samples. By using the specific aptamers for recognition of clinically validated biomarkers (EpCAM and CEA), the assay enabled ultrasensitive detection of trace levels of NSCLC-derived exosomes in complex serum samples (15.1 particles μL within a linear range of 10-10 particles μL). The assay outperformed the analysis of six serum biomarkers for the accurate diagnosis, staging, and prognosis of NSCLC, displaying a diagnostic sensitivity of 93.3% even at an early stage (Stage I). The assay provides an advanced tool for exosome quantification and facilitates exosome-based liquid biopsies for cancer management in clinics.

摘要

非小细胞肺癌(NSCLC)是最常见的肺癌病理类型,也是癌症死亡的主要原因。循环外泌体已成为诊断 NSCLC 的有价值的生物标志物,而目前用于外泌体检测的电化学分析方法的性能受到灵敏度和特异性不理想的限制。在这里,我们将比率生物传感器与或逻辑门集成,形成一种用于检测临床血清样本中外泌体表面蛋白谱的分析方法。通过使用针对临床验证的生物标志物(EpCAM 和 CEA)的特异性适体,该分析方法能够在复杂的血清样本中对痕量水平的 NSCLC 来源的外泌体进行超灵敏检测(在 10-10 个粒子 μL 的线性范围内为 15.1 个粒子 μL)。该分析方法在准确诊断、分期和预测 NSCLC 方面优于六种血清生物标志物的分析,即使在早期(I 期)也显示出 93.3%的诊断灵敏度。该分析方法为外泌体定量提供了一种先进的工具,并促进了基于外泌体的液体活检在临床癌症管理中的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a97e/10037838/39f98dea7d4c/12951_2023_1833_Fig1_HTML.jpg

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