Publications
International journal of hematologyJul 2022 DOI:
10.1007/s12185-022-03402-z

Droplet digital PCR for genetic mutations monitoring predicts relapse risk in pediatric acute myeloid leukemia

Chen, Xiaoyan; Liu, Lipeng; Zhang, Aoli; Yi, Meihui; Lan, Yang; Zheng, Zhongzheng; Zhang, Luyang; Liu, Xiaoming; Chang, Lixian; Zou, Yao; Ruan, Min; Zhu, Xiaofan
Product Used
NGS
Abstract
Multiparameter flow cytometry (MFC)-based minimal residual disease has been a poor predictor of prognosis in children with acute myeloid leukemia (AML). This study aimed to evaluate the incremental value of serial monitoring by droplet digital PCR (ddPCR) in forecasting the outcome of AML. Twenty-four children with AML were enrolled and the relapse-free survival (RFS) rate was estimated using the Kaplan-Meier method. Survival estimates were compared using the log-rank test. Survival analysis showed that the RFS rate in the ddPCR ≥ 0.1% group was significantly lower than that in the 
Product Used
NGS

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