基于数字pcr的IDH1和IDH2基因常见突变的最小残留疾病检测在急性髓系白血病患者中的验证

IF 3.4 3区 医学 Q1 PATHOLOGY Journal of Molecular Diagnostics Pub Date : 2024-11-29 DOI:10.1016/j.jmoldx.2024.11.002
Jing Di, Tao Sheng, Ranjana Arora, Jennifer Stocks-Candelaria, Sainan Wei, Charles Lutz, Fevzi F Yalniz, Shulin Zhang
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引用次数: 0

摘要

准确监测微小残留病(MRD)对急性髓性白血病(AML)患者的有效治疗至关重要。本研究旨在利用QuantStudio三维数字PCR平台验证AML患者中七种最常见的IDH1和IDH2突变的MRD检测。该分析表明,数字PCR和下一代测序分析之间的变异等位基因频率高度一致。精确分析显示只有很小的变化(
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The Validation of Digital PCR-Based Minimal Residual Disease Detection for the Common Mutations in IDH1 and IDH2 Genes in Patients with Acute Myeloid Leukemia.

Accurate monitoring of minimal residual disease (MRD) is crucial for effective management of patients with acute myeloid leukemia (AML). This study aims to validate MRD detection of the seven most common IDH1 and IDH2 mutations in patients with AML using a QuantStudio 3D digital PCR platform. This assay demonstrated a high concordance for the variant allele frequencies between digital PCR and next-generation sequencing assays. Precision analysis revealed only small variation (<0.5 log10) for all mutations near or at the limit of detection level. This validation also showed a great reproducibility for interrun and intrarun comparisons (28 runs, variation ranges from 0 to 0.48 log10), ensuring comparable results for patient follow-ups. The limit of detection was determined to be 0.1% for all mutations, except the IDH2 R140Q mutation, which was 0.5%. Controls and acceptable ranges were also established for each mutation during validation. This study suggests that the QuantStudio 3D digital PCR assay is a quantitative, sensitive, and reproducible platform for monitoring MRD in patients with AML.

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来源期刊
CiteScore
8.10
自引率
2.40%
发文量
143
审稿时长
43 days
期刊介绍: The Journal of Molecular Diagnostics, the official publication of the Association for Molecular Pathology (AMP), co-owned by the American Society for Investigative Pathology (ASIP), seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome for review articles that contain: novel discoveries or clinicopathologic correlations including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, clinical informatics, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods which may be applied to diagnosis or monitoring of disease or disease predisposition.
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