微小残留病
数字聚合酶链反应
耐火材料(行星科学)
医学
残余物
肿瘤科
淋巴瘤
内科学
癌症研究
聚合酶链反应
计算机科学
生物
白血病
算法
基因
遗传学
天体生物学
作者
Jan‐Michel Heger,Yannick d’Hargues,Fanni Kleinert,Julia Mattlener,Jonathan M. Weiss,Fabian Franzen,Christian Becker,Kerstin Becker,Philipp Gödel,Marcel Schmiel,Jörn Meinel,Ruth Flümann,Florian Simon,Hans Christian Reinhardt,Peter Borchmann,Sven Borchmann,Hyatt Balke‐Want,Gero Knittel,Bastian von Tresckow
摘要
Abstract Although several promising approaches for the treatment of relapsed/refractory diffuse large B‐cell lymphoma (rrDLBCL) have been approved recently, it remains unclear which patients will ultimately achieve long‐term responses. Circulating tumor (ct)DNA sequencing has emerged as a valuable tool to assess minimal residual disease (MRD). Correlations between MRD and outcomes have been shown in previously untreated DLBCL, but data on the repeated assessment of MRD in the dynamic course of rrDLBCL is limited. Here, we present an approach leveraging cost‐ and time‐sensitivity of digital droplet (dd)PCR to repeatedly assess MRD in rrDLBCL and present proof‐of‐principle for its ability to predict outcomes.
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