{"title":"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","authors":"Yitian Wu, Shuai Zhang, Ru Feng, Kangming Xiao, Ting Wang, Jiefei Bai, Xiaoyu Zhou, Yuji Wang, Peng Dai, Hui Liu, Lucia Ruojia Wu","doi":"10.1038/s41467-024-54254-6","DOIUrl":null,"url":null,"abstract":"<p>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 <i>NPM1</i> 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 (<i>p</i> < 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 (<i>N</i> = 20). Furthermore, we demonstrate quantitating VAF below 0.01% is essential for accurate relapse prediction.</p>","PeriodicalId":14,"journal":{"name":"ACS Combinatorial Science","volume":"313 1","pages":""},"PeriodicalIF":3.7840,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Longitudinal ultra-sensitive mutation burden sequencing for precise minimal residual disease assessment in AML\",\"authors\":\"Yitian Wu, Shuai Zhang, Ru Feng, Kangming Xiao, Ting Wang, Jiefei Bai, Xiaoyu Zhou, Yuji Wang, Peng Dai, Hui Liu, Lucia Ruojia Wu\",\"doi\":\"10.1038/s41467-024-54254-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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 <i>NPM1</i> 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 (<i>p</i> < 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 (<i>N</i> = 20). Furthermore, we demonstrate quantitating VAF below 0.01% is essential for accurate relapse prediction.</p>\",\"PeriodicalId\":14,\"journal\":{\"name\":\"ACS Combinatorial Science\",\"volume\":\"313 1\",\"pages\":\"\"},\"PeriodicalIF\":3.7840,\"publicationDate\":\"2024-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Combinatorial Science\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41467-024-54254-6\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Chemistry\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Combinatorial Science","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41467-024-54254-6","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Chemistry","Score":null,"Total":0}
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.
期刊介绍:
The Journal of Combinatorial Chemistry has been relaunched as ACS Combinatorial Science under the leadership of new Editor-in-Chief M.G. Finn of The Scripps Research Institute. The journal features an expanded scope and will build upon the legacy of the Journal of Combinatorial Chemistry, a highly cited leader in the field.