High-sensitivity next-generation sequencing MRD assessment in ALL identifies patients at very low risk of relapse

医学 内科学 肿瘤科 微小残留病 累积发病率 负效应 入射(几何) 置信区间 白血病 队列 心理学 社会心理学 物理 光学
作者
Nicholas J. Short,Hagop M. Kantarjian,Farhad Ravandi,Marina Konopleva,Nitin Jain,Rashmi Kanagal‐Shamanna,Keyur P. Patel,Walid Macaron,Tapan M. Kadia,Sa A. Wang,Jeffrey L. Jorgensen,Joseph D. Khoury,Musa Yılmaz,Partow Kebriaei,Koichi Takahashi,Guillermo García-Manero,Sean M. Post,Xuelin Huang,Steven M. Kornblau,Sarah Pelletier,Wilmer Flores,Jairo Matthews,Rebecca Garris
出处
期刊:Blood Advances [American Society of Hematology]
卷期号:6 (13): 4006-4014 被引量:38
标识
DOI:10.1182/bloodadvances.2022007378
摘要

Measurable residual disease (MRD) is highly prognostic for relapse and overall survival (OS) in acute lymphoblastic leukemia (ALL), although many patients with apparent "MRD negativity" by standard assays still relapse. We evaluated the clinical impact of a highly sensitive next-generation sequencing (NGS) MRD assay in 74 adults with ALL undergoing frontline therapy. Among remission samples that were MRD negative by multiparameter flow cytometry (MFC), 46% were MRD+ by the NGS assay. After 1 cycle of induction chemotherapy, MRD negativity by MFC at a sensitivity of 1 × 10-4 and NGS at a sensitivity of 1 × 10-6 was achieved in 66% and 23% of patients, respectively. The 5-year cumulative incidence of relapse (CIR) among patients who achieved MRD negativity by MFC at complete remission (CR) was 29%; in contrast, no patients who achieved early MRD negativity by NGS relapsed, and their 5-year OS was 90%. NGS MRD negativity at CR was associated with significantly decreased risk of relapse compared with MRD positivity (5-year CIR, 0% vs 45%, respectively; P = .04). Among patients who were MRD negative by MFC, detection of low levels of MRD by NGS identified patients who still had a significant risk of relapse (5-year CIR, 39%). Early assessment of MRD using a highly sensitive NGS assay adds clinically relevant prognostic information to standard MFC-based approaches and can identify patients with ALL undergoing frontline therapy who have a very low risk of relapse and excellent long-term survival.
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