RESUMEN
Minimal residual disease (MRD) in acute myeloid leukemia (AML) is of major prognostic importance. The genetic landscape of AML is characterized by numerous somatic mutations, which constitute potential MRD markers. Leukemia-specific mutations can be identified with exome sequencing at diagnosis and assessed during follow-up at low frequencies by using targeted deep sequencing. Our aim was to further validate this patient-tailored assay for substitution mutations. By applying a statistical model, which corrects for position-specific errors, a limit of detection for single nucleotide variations of variant allele frequency (VAF) of 0.02% was achieved. The assay was linear in MRD range (0.03% to 1%) with good precision [CV, 4.1% (2.2% to 5.7%) at VAF 1% and 13.3% (8.8% to 19.4%) at VAF 0.1%], and low relative bias [7.9% (2.5% to 15.3%) at VAF 1%]. When applied to six childhood AML cases and compared with multiparameter flow cytometry for MRD analysis, deep sequencing showed concordance and superior sensitivity. Further high concordance was found with expression of fusion transcripts RUNX1-RUNX1T1 and KMT2A-MLLT10. The deep sequencing assay also detected mutations in blood when VAF in bone marrow exceeded 0.1% (n = 19). In conclusion, deep sequencing enables reliable detection of low levels of residual leukemic cells. Introduction of this method in patient care will allow for highly sensitive MRD surveillance in virtually every patient with AML.
Asunto(s)
Secuenciación de Nucleótidos de Alto Rendimiento/métodos , Leucemia Mieloide Aguda/genética , Polimorfismo de Nucleótido Simple , Adolescente , Niño , Preescolar , Subunidad alfa 2 del Factor de Unión al Sitio Principal/genética , Femenino , Frecuencia de los Genes , Humanos , Lactante , Leucemia Mieloide Aguda/diagnóstico , Masculino , Mutación , Neoplasia Residual/diagnóstico , Neoplasia Residual/genética , Proteínas de Fusión Oncogénica/genética , Proteína 1 Compañera de Translocación de RUNX1/genéticaRESUMEN
Mutations in NPM1 can be used for minimal residual disease (MRD) analysis in acute myeloid leukemia (AML). We here applied a newly introduced method, deep sequencing, allowing for simultaneous analysis of all recurrent NPM1 insertions and thus constituting an attractive alternative to multiple PCRs for the clinical laboratory. We retrospectively used deep sequencing for measurement of MRD pre- and post-allogeneic hematopoietic stem cell transplantation (alloHCT). For 29 patients in morphological remission at the time of alloHCT, the effect of deep sequencing MRD on outcome was assessed. MRD positivity was defined as variant allele frequency ≥0.02%. Post-transplant MRD status was significantly and independently associated with clinical outcome; 3-year relapse-free survival 20% vs 85% (p < .001), HR 45 (95% CI 2-1260), and overall survival 20% vs 89% (p < .001), HR 49 (95% CI 2-1253). Thus, the new methodology deep sequencing is an applicable and predictive tool for MRD assessment in AML.
Asunto(s)
Leucemia Mieloide Aguda/genética , Leucemia Mieloide Aguda/patología , Mutación , Neoplasia Residual/genética , Proteínas Nucleares/genética , Biomarcadores de Tumor , Femenino , Trasplante de Células Madre Hematopoyéticas , Secuenciación de Nucleótidos de Alto Rendimiento , Humanos , Leucemia Mieloide Aguda/mortalidad , Leucemia Mieloide Aguda/terapia , Masculino , Nucleofosmina , Modelos de Riesgos Proporcionales , Estudios Retrospectivos , Trasplante HomólogoRESUMEN
Next-generation sequencing techniques have revealed that leukemic cells in acute myeloid leukemia often are characterized by a limited number of somatic mutations. These mutations can be the basis for the detection of leukemic cells in follow-up samples. The aim of this study was to identify leukemia-specific mutations in cells from patients with acute myeloid leukemia and to use these mutations as markers for minimal residual disease. Leukemic cells and normal lymphocytes were simultaneously isolated at diagnosis from 17 patients with acute myeloid leukemia using fluorescence-activated cell sorting. Exome sequencing of these cells identified 240 leukemia-specific single nucleotide variations and 22 small insertions and deletions. Based on estimated allele frequencies and their accuracies, 191 of these mutations qualified as candidates for minimal residual disease analysis. Targeted deep sequencing with a significance threshold of 0.027% for single nucleotide variations and 0.006% for NPM1 type A mutation was developed for quantification of minimal residual disease. When tested on follow-up samples from a patient with acute myeloid leukemia, targeted deep sequencing of single nucleotide variations as well as NPM1 was more sensitive than minimal residual disease quantification with multiparameter flow cytometry. In conclusion, we here describe how exome sequencing can be used for identification of leukemia-specific mutations in samples already at diagnosis of acute myeloid leukemia. We also show that targeted deep sequencing of such mutations, including single nucleotide variations, can be used for high-sensitivity quantification of minimal residual disease in a patient-tailored manner.