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.

IF 3.4 3区 医学 Q1 PATHOLOGY
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

Abstract

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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