髓系白血病
数字聚合酶链反应
癌症研究
微小残留病
生物
聚合酶链反应
分子生物学
白血病
遗传学
基因
作者
Grégoire Cullot,Samuel Amintas,Laura Karembé,Valérie Prouzet‐Mauléon,Julie Rébillard,Lisa Boureau,David Cappellen,Aurélie Bedel,François Moreau‐Gaudry,Stéphanie Dulucq,Sandrine Dabernat,Béatrice Turcq
出处
期刊:The CRISPR journal
[Mary Ann Liebert]
日期:2023-03-13
卷期号:6 (2): 140-151
被引量:2
标识
DOI:10.1089/crispr.2022.0070
摘要
Advances in molecular medicine have placed nucleic acid detection methods at the center of an increasing number of clinical applications. Polymerase chain reaction (PCR)-based diagnostics have been widely adopted for their versatility, specificity, and sensitivity. However, recently reported clustered regularly interspaced short palindromic repeats-based methods have demonstrated equivalent to superior performance, with increased portability and reduced processing time and cost. In this study, we applied Specific High-Sensitivity Enzymatic Reporter UnLOCKing (SHERLOCK) technology to the detection of oncogenic rearrangements. We implemented SHERLOCK for the detection of BCR::ABL1 mRNA, a hallmark of chronic myeloid leukemia (CML), and EGFR DNA oncogenic alleles, frequently detected in glioblastoma and non-small cell lung cancer (NSCLC). SHERLOCK enabled rapid, sensitive, and variant-specific detection of BCR::ABL1 and EGFR alterations. Compared with the gold-standard PCR-based methods currently used in clinic, SHERLOCK achieved equivalent to greater sensitivity, suggesting it could be a new tool in CML and NSCLC, to detect low level of molecular residual disease.
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