Background: Nucleophosmin 1 (NPM1) mutations, which occur in 25 - 30% of acute myeloid leukemia (AML) and 50 - 60% of AML with normal karyotype, have been identified as an important marker for stratification of prog-nosis in AML. This study aimed to establish a new quantitative polymerase chain reaction (PCR) technique, the drop-off droplet digital PCR (ddPCR), for rapid and sensitive detection of NPM1 mutations in AML.
Methods: We established the drop-off ddPCR system and verified its performance. NPM1 mutations were screened in 130 AML patients by drop-off ddPCR and were validated by Sanger sequencing and next-generation sequencing (NGS). Then, the NPM1 mutation burden was dynamically monitored in five patients.
Results: The limit of blank (LOB) of drop-off ddPCR established for NPM1 mutation was 3.36 copies/μL, and the limit of detection (LOD) was 5.00 - 5.37 copies/μL in 50 ng DNA, and the sensitivity was about 0.05%, which had good linearity. Drop-off ddPCR identified 33/130 (25.4%) NPM1 mutated cases, consistent with Sanger sequencing. In 18 NPM1 positive cases selected randomly, NGS identified fourteen with type A mutation, two with type D mutation, and two with rare type mutations. The mutation burden of NPM1 mutation analyzed by NGS was consistent with the drop-off ddPCR. The sequential samples were detected for measurable residual disease (MRD) monitoring in 5 patients showed that the NPM1 mutation burden was consistent with clinical remission and recurrence. Compared with traditional ddPCR, drop-off ddPCR was also suitable for MRD monitoring.
Conclusions: In this study, we established a drop-off ddPCR method for detecting three common mutations in AML with good sensitivity and repeatability, which can be used to screen mutations in newly diagnosed AML patients and for MRD monitoring after remission to guide treatment.
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http://dx.doi.org/10.7754/Clin.Lab.2023.230537 | DOI Listing |
Anal Chem
September 2023
Analysis of Circulating Tumor Cells, Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, 15771 Panepistimiopolis, Ilissia, Athens, Greece.
Breast cancer is the leading cause of cancer-related deaths in women worldwide. Approximately 40% of patients with hormone receptor-positive, human epidermal growth factor receptor-2-negative breast cancer have activating mutations in the gene. We developed a highly sensitive, specific, cost-effective, and reproducible dual-drop-off droplet digital polymerase chain reaction (PCR) assay for the simultaneous detection of ten hotspots of mutations in plasma cell-free (cf) DNA.
View Article and Find Full Text PDFJ Clin Microbiol
June 2023
Engineering Research Centre of Molecular Diagnostics of Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Xiamen University, Xiamen, China.
The quantitative detection of drug-resistance mutations in Mycobacterium tuberculosis (MTB) is critical for determining the drug resistance status of a sample. We developed a drop-off droplet digital PCR (ddPCR) assay targeting all major isoniazid (INH)-resistant mutations. The ddPCR assay consisted of three reactions: reaction A detects mutations at S315; reaction B detects promoter mutations; and reaction C detects promoter mutations.
View Article and Find Full Text PDFJ Mol Diagn
July 2023
Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
CXCR4 mutations impact disease presentation and treatment outcomes in Waldenström macroglobulinemia. Current techniques used for CXCR4 mutation detection have a number of limitations. The aim of the present study was to develop and analytically validate a novel droplet digital PCR (ddPCR) assay for the simultaneous detection of five of the most common CXCR4 mutations in bone marrow (BM).
View Article and Find Full Text PDFInt J Mol Sci
March 2023
Department of Medicine I, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79085 Freiburg, Germany.
Background: Mutations in cKIT or PDGFRA are found in up to 90% of patients with gastrointestinal stromal tumors (GISTs). Previously, we described the design, validation, and clinical performance of a digital droplet (dd)PCR assay panel for the detection of imatinib-sensitive cKIT and PDFGRA mutations in circulating tumor (ct)DNA. In this study, we developed and validated a set of ddPCR assays for the detection of cKIT mutations mediating resistance to cKIT kinase inhibitors in ctDNA.
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