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Longitudinal ultra-sensitive mutation burden sequencing for precise minimal residual disease assessment in AML

Author

Listed:
  • Yitian Wu

    (Capital Medical University)

  • Shuai Zhang

    (Chinese Academy of Medical Sciences
    Capital Medical University)

  • Ru Feng

    (Chinese Academy of Medical Sciences)

  • Kangming Xiao

    (Peking University)

  • Ting Wang

    (Chinese Academy of Medical Sciences)

  • Jiefei Bai

    (Chinese Academy of Medical Sciences)

  • Xiaoyu Zhou

    (Capital Medical University)

  • Yuji Wang

    (Capital Medical University)

  • Peng Dai

    (Peking University)

  • Hui Liu

    (Chinese Academy of Medical Sciences)

  • Lucia Ruojia Wu

    (Capital Medical University)

Abstract

Relapse is one of the major challenges in clinical treatment of acute myeloid leukemia (AML). Though minimal residual disease (MRD) monitoring plays a crucial role in quantitative assessment of the disease, molecular MRD analysis has been mainly limited to patients diagnosed with gene fusions and NPM1 mutations. Here, we report a longitudinal ultra-sensitive mutation burden (UMB) monitoring strategy for accurate MRD analysis in AML patients regardless of genetic abnormality types. Using a Quantitative Blocker Displacement Amplification (QBDA) sequencing panel with limit of detection below 0.01% variant allele frequency (VAF), a hazard ratio of 14.8 (p

Suggested Citation

  • Yitian Wu & Shuai Zhang & Ru Feng & Kangming Xiao & Ting Wang & Jiefei Bai & Xiaoyu Zhou & Yuji Wang & Peng Dai & Hui Liu & Lucia Ruojia Wu, 2024. "Longitudinal ultra-sensitive mutation burden sequencing for precise minimal residual disease assessment in AML," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-54254-6
    DOI: 10.1038/s41467-024-54254-6
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