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DNAzyme and controllable cholesterol stacking DNA machine integrates dual-target recognition CTCs enable homogeneous liquid biopsy of breast cancer.

Authors :
Liu, Weijing
Wang, Yue
Jiang, Pengjun
Huang, Ke
Zhang, He
Chen, Jie
Chen, Piaopiao
Source :
Biosensors & Bioelectronics. Oct2024, Vol. 261, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Although circulating tumor cells (CTCs) have demonstrated considerable importance in liquid biopsy, their detection is limited by low concentrations and complex sample components. Herein, we developed a homogeneous, simple, and high-sensitivity strategy targeting breast cancer cells. This method was based on a non-immunological stepwise centrifugation preprocessing approach to isolate CTCs from whole blood. Precise quantification is achieved through the specific binding of aptamers to the overexpressed mucin 1 (MUC1) and human epidermal growth factor receptor 2 (HER2) proteins of breast cancer cells. Subsequently, DNAzyme cleavage and parallel catalytic hairpin assembly (CHA) reactions on the cholesterol-stacking DNA machine were initiated, which opened the hairpin structures T-Hg2+-T and C–Ag+-C, enabling multiple amplifications. This leads to the fluorescence signal reduction from Hg2+-specific carbon dots (CDs) and CdTe quantum dots (QDs) by released ions. This strategy demonstrated a detection performance with a limit of detection (LOD) of 3 cells/mL and a linear range of 5–100 cells/mL. 42 clinical samples have been validated, confirming their consistency with clinical imaging, pathology findings and the folate receptor (FR)-PCR kit results, exhibiting desirable specificity of 100% and sensitivity of 80.6%. These results highlight the promising applicability of our method for diagnosing and monitoring breast cancer. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09565663
Volume :
261
Database :
Academic Search Index
Journal :
Biosensors & Bioelectronics
Publication Type :
Academic Journal
Accession number :
178148112
Full Text :
https://doi.org/10.1016/j.bios.2024.116493