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Rapid detection of EGFR mutation in CTCs based on a double spiral microfluidic chip and the real-time RPA method.
- Source :
-
Analytical and bioanalytical chemistry [Anal Bioanal Chem] 2023 Jul; Vol. 415 (17), pp. 3535-3547. Date of Electronic Publication: 2023 May 31. - Publication Year :
- 2023
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Abstract
- Circulating tumor cells (CTCs) are cells shed from primary or metastatic tumors and spread into the peripheral bloodstream. Mutation detection in CTCs can reveal vital genetic information about the tumors and can be used for "liquid biopsy" to indicate cancer treatment and targeted medication. However, current methods to measure the mutations in CTCs are based on PCR or DNA sequencing which are cumbersome and time-consuming and require sophisticated equipment. These largely limited their applications especially in areas with poor healthcare infrastructure. Here we report a simple, convenient, and rapid method for mutation detection in CTCs, including an example of a deletion at exon 19 (Del19) of the epidermal growth factor receptor (EGFR). CTCs in the peripheral blood of NSCLC patients were first sorted by a double spiral microfluidic chip with high sorting efficiency and purity. The sorted cells were then lysed by proteinase K, and the E19del mutation was detected via real-time recombinase polymerase amplification (RPA). Combining the advantages of microfluidic sorting and real-time RPA, an accurate mutation determination was realized within 2 h without professional operation or complex data interpretation. The method detected as few as 3 cells and 1% target variants under a strongly interfering background, thus, indicating its great potential in the non-invasive diagnosis of E19del mutation for NSCLC patients. The method can be further extended by redesigning the primers and probes to detect other deletion mutations, insertion mutations, and fusion genes. It is expected to be a universal molecular diagnostic tool for real-time assessment of relevant mutations and precise adjustments in the care of oncology patients.<br /> (© 2023. Springer-Verlag GmbH Germany, part of Springer Nature.)
Details
- Language :
- English
- ISSN :
- 1618-2650
- Volume :
- 415
- Issue :
- 17
- Database :
- MEDLINE
- Journal :
- Analytical and bioanalytical chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 37254002
- Full Text :
- https://doi.org/10.1007/s00216-023-04743-2