Optimising Outcomes in Chronic Myeloid Leukaemia Through Rational Drug Selection Using Predictive Assay Results and Maximising Treatment Free Remissions

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Although outcomes in chronic myeloid leukaemia are generally excellent, a number of important questions remain. In this grant, we propose to i) personalise the selection of frontline treatment for newly diagnosed patients, using biomarkers which can predict treatment response; ii) improve the probability of cure in patients aiming to stop their treatment, and iii) use ultra-sensitive molecular tests for disease detection to predict risk of disease relapse.