纵向超灵敏突变负荷测序用于精确评估急性髓细胞性白血病的最小残留病灶

IF 14.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Nature Communications Pub Date : 2024-11-14 DOI:10.1038/s41467-024-54254-6
Yitian Wu, Shuai Zhang, Ru Feng, Kangming Xiao, Ting Wang, Jiefei Bai, Xiaoyu Zhou, Yuji Wang, Peng Dai, Hui Liu, Lucia Ruojia Wu
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引用次数: 0

摘要

复发是急性髓性白血病(AML)临床治疗的主要挑战之一。虽然最小残留病(MRD)监测在疾病的定量评估中发挥着重要作用,但分子 MRD 分析主要局限于确诊为基因融合和 NPM1 突变的患者。在此,我们报告了一种纵向超灵敏突变负荷(UMB)监测策略,用于准确分析急性髓细胞性白血病患者的MRD,无论其基因异常类型如何。使用检测限低于 0.01% 变异等位基因频率 (VAF) 的定量阻断置换扩增 (QBDA) 测序面板,对完全缓解 (CR) 期间有≥ 2 个样本的 20 例患者进行复发累积发生率分析,发现危险比为 14.8 (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,我们还证明了低于 0.01% 的 VAF 定量对于准确预测复发至关重要。
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Longitudinal ultra-sensitive mutation burden sequencing for precise minimal residual disease assessment in AML

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.

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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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