Issue 1, 2024

PER-CRISPR/Cas14a system-based electrochemical biosensor for the detection of ctDNA EGFR L858R

Abstract

The detection of epidermal growth factor receptor (EGFR) mutation L858R in circulating tumor DNA (ctDNA) is beneficial for the clinical diagnosis and personalized therapy of non-small cell lung cancer (NSCLC). Herein, for the first time, the combination of the primer exchange reaction (PER) and clustered regularly interspaced short palindromic repeats (CRISPR) and its associated nucleases (Cas) 14a was used in electrochemical biosensor construction for the detection of ctDNA EGFR L858R. EGFR L858R, as the target, induced the isothermal amplification of the PER reaction, and then the CRISPR/Cas14a system was activated; subsequently, the substrate ssDNA-MB was cleaved and the electron on the surface of the gold electrode transferred, resulting in the fluctuation of the electrochemical redox signal on the electrode surface, whereas the electrochemical signal will be stable when EGFR L858R is absent. Therefore, the concentration of EGFR L858R can be quantified by electrochemical signal analysis. The low detection limit is 0.34 fM and the dynamic detection range is from 1 fM to 1 μM in this work. The PER-CRISPR/Cas14a electrochemical biosensor greatly improved the analytical sensitivity. In addition, this platform also exhibited excellent specificity, reproducibility, stability and good recovery. This study provides an efficient and novel strategy for the detection of ctDNA EGFR L858R, which has great potential for application in the diagnosis and treatment of NSCLC.

Graphical abstract: PER-CRISPR/Cas14a system-based electrochemical biosensor for the detection of ctDNA EGFR L858R

Supplementary files

Article information

Article type
Paper
Submitted
13 Sep 2023
Accepted
21 Nov 2023
First published
07 Dec 2023

Anal. Methods, 2024,16, 51-61

PER-CRISPR/Cas14a system-based electrochemical biosensor for the detection of ctDNA EGFR L858R

J. Qi, Q. Qi, Z. Zhou, Y. Wu, A. Cai, J. Wu, B. Chen, Q. Wang, L. Chen and F. Wang, Anal. Methods, 2024, 16, 51 DOI: 10.1039/D3AY01615C

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