Association of hematologic response and assay sensitivity on the prognostic impact of measurable residual disease in acute myeloid leukemia: a systematic review and meta-analysis

Nicholas J. Short, Chenqi Fu, Donald A. Berry, Roland B. Walter, Sylvie D. Freeman, Christopher S. Hourigan, Xuelin Huang, Graciela Nogueras Gonzalez, Hyunsoo Hwang, Xinyue Qi, Hagop Kantarjian, Shouhao Zhou, Farhad Ravandi

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Measurable residual disease (MRD) is associated with relapse and survival in acute myeloid leukemia (AML). We aimed to quantify the impact of MRD on outcomes across clinical contexts, including its association with hematologic response and MRD assay sensitivity. We performed systematic literature review and meta-analysis of 48 studies that reported the association between MRD and overall survival (OS) or disease-free survival (DFS) in AML and provided information on the MRD threshold used and the hematologic response of the study population. Among studies limited to patients in complete remission (CR), the estimated 5-year OS for the MRD-negative and MRD-positive groups was 67% (95% Bayesian credible interval [CrI], 53–77%) and 31% (95% CrI, 18–44%), respectively. Achievement of an MRD-negative response was associated with superior DFS and OS, regardless of MRD threshold or analytic sensitivity. Among patients in CR, the benefit of MRD negativity was highest in studies using an MRD cutoff less than 0.1%. The beneficial impact of MRD negativity was observed across MRD assays and timing of MRD assessment. In patients with AML in morphological remission, achievement of MRD negativity is associated with superior DFS and OS, irrespective of hematologic response or the MRD threshold used.

Original languageEnglish (US)
Pages (from-to)2817-2826
Number of pages10
JournalLeukemia
Volume36
Issue number12
DOIs
StatePublished - Dec 2022

ASJC Scopus subject areas

  • Hematology
  • Oncology
  • Cancer Research

MD Anderson CCSG core facilities

  • Biostatistics Resource Group

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