Cancers · 2022 · 14 citations · 21 references
MedicineOncologyPharmacologyChemotherapyHematologic OncologyMedical OncologyHematologic Malignancy TherapyRefractory DiseaseRelapsed DiseaseResponse AssessmentTherapy Response AssessmentAcute Myeloid Leukemia TherapyAcute Myeloid Leukemia TreatmentCox RegressionFlow Cytometric Residual Disease AssessmentPrognostic Factors AnalysisRelapsed Acute Myeloid LeukemiaRelapsed LeukemiaTreatment Response Prognosis
The prognostic value of measurable residual disease (MRD) by flow cytometry in acute myeloid leukemia (AML) patients treated with non-intensive therapy is relatively unexplored. The clinical value of MRD threshold below 0.1% is also unknown after non-intensive therapy. In this study, MRD to a sensitivity of 0.01% was analyzed in sixty-three patients in remission after azacitidine/venetoclax treatment. Multivariable cox regression analysis identified prognostic factors associated with cumulative incidence of relapse (CIR), progression-free survival (PFS) and overall survival (OS). Patients who achieved MRD < 0.1% had a lower relapse rate than those who were MRD ≥ 0.1% at 18 months (13% versus 57%, p = 0.006). Patients who achieved an MRD-negative CR had longer median PFS and OS (not reached and 26.5 months) than those who were MRD-positive (12.6 and 10.3 months, respectively). MRD < 0.1% was an independent predictor for CIR, PFS, and OS, after adjusting for European Leukemia Net (ELN) risk, complex karyotype, and transplant (HR 5.92, 95% CI 1.34−26.09, p = 0.019 for PFS; HR 2.60, 95% CI 1.02−6.63, p = 0.046 for OS). Only an MRD threshold of 0.1%, and not 0.01%, was predictive for OS. Our results validate the recommended ELN MRD cut-off of 0.1% to discriminate between patients with improved CIR, PFS, and OS after azacitidine/venetoclax therapy.
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Assessment of Minimal Residual Disease in Standard-Risk AML
Adam Ivey, Robert K. Hills, Michael A. Simpson et al. · New England Journal of Medicine · 2016 · 836 citations · Full text
Courtney D. DiNardo, Keith W. Pratz, Anthony Letai et al. · The Lancet Oncology · 2018 · 712 citations