Effective Response Metric: a novel tool to predict relapse in childhood acute lymphoblastic leukaemia using time-series gene expression profiling
Accurate risk assignment in childhood acute lymphoblastic leukaemia is essential to avoid under- or over-treatment. We hypothesized that time-series gene expression profiles (GEPs) of bone marrow samples during remission-induction therapy can measure the response and be used for relapse prediction....
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Published: |
Wiley
2018
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/20281/ https://doi.org/10.1111/bjh.15252 |
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