School of Pharmaceutical Sciences, Capital Medical University, Beijing, China.
Department of Hematology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Nat Commun. 2024 Nov 14;15(1):9853. doi: 10.1038/s41467-024-54254-6.
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 < 0.001) is observed in cumulative incidence of relapse analysis of 20 patients with ≥ 2 samples during complete remission (CR). The ROC area under curve (AUC) is 0.98 when predicting relapse within 30 weeks of CR timepoint 2 (N = 20). Furthermore, we demonstrate quantitating VAF below 0.01% is essential for accurate relapse prediction.
复发是急性髓系白血病(AML)临床治疗的主要挑战之一。虽然微小残留病(MRD)监测在定量评估疾病方面起着至关重要的作用,但分子 MRD 分析主要限于诊断为基因融合和 NPM1 突变的患者。在这里,我们报告了一种纵向超敏突变负担(UMB)监测策略,用于对 AML 患者进行准确的 MRD 分析,而与遗传异常类型无关。使用定量阻断物置换扩增(QBDA)测序面板,检测下限低于 0.01%变异等位基因频率(VAF),在 20 例完全缓解(CR)期间有≥2 个样本的患者中,复发累积发生率分析中观察到 14.8 的危险比(p<0.001)。在预测 CR 时间点 2 后 30 周内的复发时,ROC 曲线下面积(AUC)为 0.98(N=20)。此外,我们证明定量 VAF 低于 0.01%对于准确预测复发至关重要。