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Updated: May 1, 2026

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
Published on: September 20, 2016
Detection of minimal residual disease in NPM1-mutated acute myeloid leukemia by next-generation sequencing
Stephen J Salipante1, Jonathan R Fromm2, Jay Shendure3
11] Departments of Laboratory Medicine, University of Washington, UW Hematopathology Laboratory at SCCA, Seattle, WA, USA [2] Genome Sciences, University of Washington, Seattle, WA, USA.
Abstract:
Detection of minimal residual disease predicts adverse outcome in patients with acute myeloid leukemia. Currently, minimal residual disease may be detected by RQ-PCR or flow cytometry, both of which have practical and diagnostic limitations. Here, we describe a next-generation sequencing assay for minimal residual disease detection in NPM1-mutated acute myeloid leukemia, which encompasses ∼60% of patients with normal karyotype acute myeloid leukemia. Exon 12 of NPM1 was PCR amplified using sequencing adaptor-linked primers and deep sequenced to enable detection of low-prevalence, acute myeloid leukemia-specific activating mutations. We benchmarked our results against flow cytometry, the standard of care for acute myeloid leukemia minimal residual disease diagnosis at our institution. The performance of both approaches was evaluated using defined dilutions of an NPM1 mutation-positive cell line and longitudinal clinical samples from acute myeloid leukemia patients. Using defined control material, we found this assay sensitive to approximately 0.001% mutant cells, outperforming flow cytometry by an order of magnitude. Next-generation sequencing was precise and semiquantitative over four orders of magnitude. In 22 longitudinal samples from six acute myeloid leukemia patients, next-generation sequencing detected minimal residual disease in all samples deemed negative by flow cytometry. Further, in one-third of patients, sequencing detected alternate NPM1 mutations in addition to the patient's index mutation, consistent with tumor heterogeneity. Next-generation sequencing provides information without prior knowledge of NPM1 mutation subtype or validation of allele-specific probes as required for RQ-PCR assays, and without generation and interpretation of complex multidimensional flow cytometry data. This approach may complement current technologies to enhance patient-specific clinical decision-making.
Insights
A new next-generation sequencing assay accurately detects minimal residual disease in NPM1-mutated acute myeloid leukemia (AML). This sensitive method outperforms flow cytometry, improving AML patient monitoring and clinical decisions.
Area of Science:
- Hematology
- Molecular Diagnostics
- Oncology
Background:
- Minimal residual disease (MRD) detection is crucial for predicting outcomes in acute myeloid leukemia (AML).
- Current methods like RQ-PCR and flow cytometry have limitations in sensitivity and practicality.
- NPM1 mutations are common in AML, presenting an opportunity for targeted MRD detection.
Purpose of the Study:
- To develop and validate a next-generation sequencing (NGS) assay for MRD detection in NPM1-mutated AML.
- To compare the performance of the NGS assay against standard flow cytometry for MRD assessment.
- To evaluate the potential of NGS to improve clinical decision-making in AML management.
Main Methods:
- Development of an NGS assay targeting NPM1 exon 12 mutations.
- PCR amplification with sequencing adaptor-linked primers followed by deep sequencing.
- Benchmarking against flow cytometry using cell line dilutions and patient samples.
Main Results:
- The NGS assay demonstrated high sensitivity, detecting down to 0.001% mutant cells, exceeding flow cytometry's performance.
- NGS provided precise and semiquantitative results over a wide dynamic range.
- NGS detected MRD in all samples negative by flow cytometry and identified tumor heterogeneity in one-third of patients.
Conclusions:
- NGS offers a highly sensitive and precise method for MRD detection in NPM1-mutated AML.
- This assay overcomes limitations of current methods, potentially enhancing patient-specific treatment strategies.
- NGS provides comprehensive molecular information without the need for prior mutation knowledge or complex data interpretation.

