Ultrasensitive Nanopore Sensing of Mucin 1 and Circulating Tumor Cells in Whole Blood of Breast Cancer Patients by Analyte-Triggered Triplex-DNA Release

分析物 材料科学 循环肿瘤细胞 纳米孔 检出限 粘蛋白 MUC1号 液体活检 脱氧核酶 生物分析 生物标志物 纳米材料 癌症 纳米点 纳米技术 生物医学工程 医学 色谱法 生物化学 内科学 化学 转移
作者
Ke Sun,Piaopiao Chen,Shixin Yan,Weidan Yuan,Yu Wang,Xinqiong Li,Linqin Dou,Changjian Zhao,Jianfu Zhang,Qiang Wang,Zhoukai Fu,Wei Long,Zhaodan Xin,Zhuoyun Tang,Yichen Yan,Yiman Peng,Binwu Ying,Jie Chen,Jia Geng
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:13 (18): 21030-21039 被引量:26
标识
DOI:10.1021/acsami.1c03538
摘要

The characterization of circulating tumor cells (CTCs) by liquid biopsy has a great potential for precision medicine in oncology. Here, a universal and tandem logic-based strategy is developed by combining multiple nanomaterials and nanopore sensing for the determination of mucin 1 protein (MUC1) and breast cancer CTCs in real samples. The strategy consists of analyte-triggered signal conversion, cascaded amplification via nanomaterials including copper sulfide nanoparticles (CuS NPs), silver nanoparticles (Ag NPs), and biomaterials including DNA hydrogel and DNAzyme, and single-molecule-level detection by nanopore sensing. The amplification of the non-DNA nanomaterial gives this method considerable stability, significantly lowers the limit of detection (LOD), and enhances the anti-interference performance for complicated samples. As a result, the ultrasensitive detection of MUC1 could be achieved in the range of 0.0005–0.5 pg/mL, with an LOD of 0.1 fg/mL. Moreover, we further tested MUC1 as a biomarker for the clinical diagnosis of breast cancer CTCs under double-blind conditions on the basis of this strategy, and MCF-7 cells could be accurately detected in the range from 5 to 2000 cells/mL, with an LOD of 2 cells/mL within 6 h. The detection results of the 19 clinical samples were highly consistent with those of the clinical pathological sections, nuclear magnetic resonance imaging, and color ultrasound. These results demonstrate the validity and reliability of our method and further proved the feasibility of MUC1 as a clinical diagnostic biomarker for CTCs.
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