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Clinical Application of Novel Panels for Early Precision Diagnosis and Relapse Prediction in High-risk Leukemia

Zhongda Hospital · 2017
ClinicalTrials.gov · Datasets · License: Public Domain · 2017
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acuteleukemia
Based on the investigator's previous data on risk classification for acute leukemia,the investigators will design a set of panels to detect the gene expression and genomic variants (SNPs, mutation, insertion, deletion and fusion genes, etc), and identify the high-risk subtypes of acute leukemia, such as Ph-like acute lymphoblastic leukemia. Furthermore, the target therapy (Tyrosine Kinase Inhibitors,et.al) will be used to treat the identified patients. In addition, more sensitive minimal residual disease (MRD) detection technology will be designed and used to detect the MRD in patients to early predict the disease relapse.
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