Ultrasensitive Detection of FLT3-ITD Mutations via Primer Competition Enhanced Mutant Accumulation

化学 突变体 底漆(化妆品) 竞赛(生物学) 生物化学 基因 有机化学 生态学 生物
作者
Ling Dai,Mengjun Deng,Kena Chen,Xueping Chen,Junjie Li
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:97 (14): 7662-7671
标识
DOI:10.1021/acs.analchem.4c04750
摘要

The in-frame internal tandem duplication of the FLT-3 gene (FLT3-ITD), a prevalent genetic aberration, significantly contributes to treatment failure and poor prognosis in acute myeloid leukemia (AML). A robust and cost-effective assay for minimal residual disease (MRD) detection in FLT3-ITD+ AML is crucial for guiding therapeutic decisions. However, current MRD monitoring methodologies for FLT3-ITD+ patients are limited by sensitivity and adaptability, particularly for dynamically quantifying complex and heterogeneous FLT3-ITD mutations. In this study, we developed a primer competition enhanced mutation accumulation (PCEMA) technique designed to selectively enrich FLT3-ITD in the context of abundant wild-type alleles. By integrating the PCEMA with capillary electrophoresis, we significantly improved the discrimination between mutant and wild-type genes, increasing the minimum detectable sensitivity to 0.001%, comparable to next-generation sequencing. The competitive amplification between ITD-specific and universal primers facilitated the selective enrichment of mutant alleles, enabling highly sensitive and specific real-time FLT3-ITD mutation monitoring. We thoroughly evaluated the analytical performance and adoptability of the PCEMA technique in conjunction with quantitative fluorescent PCR (qPCEMA). Our results demonstrated that qPCEMA quantitatively differentiates FLT3-ITD with a mutation frequency below 0.1%, offering an effective, rapid, and reliable method for long-term FLT3-ITD monitoring in clinical AML patients. The PCEMA technique, characterized by its robustness, sensitivity, specificity, timeliness, and adoptability, presents a promising alternative for clinical FLT3-ITD mutation detection. It is anticipated to provide significant technical support for timely diagnosis, prognosis assessment, drug evaluation, and personalized treatment of AML patients, with substantial potential for clinical application.
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