外体
微泡
乳腺癌
生物标志物
检出限
微流控
癌症
癌症生物标志物
循环肿瘤细胞
癌症研究
生物医学工程
材料科学
化学
纳米技术
色谱法
医学
转移
内科学
生物化学
小RNA
基因
作者
Yanlin Wang,Wenjing Gao,Min Sun,Bin Feng,Hao Shen,Jianhua Zhu,Xueqin Chen,Shaoning Yu
标识
DOI:10.1016/j.bios.2023.115590
摘要
Breast cancer (BC) is a complex disease with high variability and no specific tumor markers available for diagnosis. Exosomes contain rich maternal tumor information and are a novel non-invasive biomarker with the potential for cancer diagnosis and prognosis. However, analysis of exosomal protein markers in blood samples is challenging due to lengthy sample workups and insufficient sensitivity. To address this difficulty, we developed a novel filter-electrochemical microfluidic chip (FEMC) to detect and classify BC directly in whole blood without requiring heavy purification methods. In our system, exosome enrichment was performed using a dual filtration system. The target was directed through a curved channel onto four screen-printed electrodes (SPEs), where it was captured by the previously modified antibodies. Simultaneously, Zr-MOFs encapsulated with a large number of methylene blue molecules (MB@UiO-66) were absorbed on the surface of exosomes due to the high affinity for phosphate groups. This process leads to the amplification of electrical signals. The approach demonstrated that the utilization of BC exosome-associated tumor biomarkers (i.e., PMSA, EGFR, CD81, and CEA), enabled the classification of various BC mouse models samples and clinical BC samples. The entire FEMC assay was completed in 1 h with a limit of detection of 1 × 104 particles/mL. Thus, the FEMC assay can provide real-time detection information, allowing timely and better-informed opportunities for clinical BC diagnosis and typing.
科研通智能强力驱动
Strongly Powered by AbleSci AI