Challenges facing minimal residual disease testing for acute myeloid leukemia and promising strategies to overcome them

Expert Rev Hematol. 2023 Jul-Dec;16(12):981-990. doi: 10.1080/17474086.2023.2285985. Epub 2023 Dec 18.

Abstract

Introduction: Minimal residual disease (MRD) has been an important biomarker for relapse prediction and treatment choice in patients with acute myeloid leukemia (AML). False-positive or false-negative MRD results due to the low specificity and sensitivity of techniques such as multiparameter flow cytometry (MFC), real-time quantitative polymerase chain reaction, and next-generation sequencing, as well as the biological characteristics of residual leukemia cells, including antigen shift, clone involution, heterogeneous genome of the blast cells, and lack of specific targets, all restrict the clinical use of MRD.

Areas covered: We summarized the challenges of the techniques for MRD detection, and their application in the clinical setting. We also discussed strategies to overcome these challenges, such as the MFC MRD method based on leukemia stem cells, single-cell DNA sequencing or single-cell RNA sequencing for the investigation of biological characteristics of residual leukemia cells, and the potential of omics techniques for MRD detection. We further noted out that prospective clinical trials are needed to answer clinical questions related to MRD in patients with AML.

Expert opinion: MRD is an important biomarker for individual therapy of patients with AML. In the future, it is important to increase the specificity and sensitivity of the detection techniques.

Keywords: Minimal/measurable residual disease; acute myeloid leukemia; challenges; relapse; technique.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers
  • Flow Cytometry / methods
  • Humans
  • Leukemia, Myeloid, Acute* / diagnosis
  • Leukemia, Myeloid, Acute* / genetics
  • Leukemia, Myeloid, Acute* / therapy
  • Neoplasm, Residual / diagnosis
  • Neoplasm, Residual / genetics
  • Prospective Studies

Substances

  • Biomarkers