A miRNA signature related to stemness identifies high-risk patients in paediatric acute myeloid leukaemia.

Abstract

Clinical and biological variables like genetic aberrations at diagnosis and the levels of measurable residual disease (MRD) are the most powerful biomarkers to predict the outcome of paediatric leukaemia. Recently, a model integrating the genetic abnormalities, transcriptional identity, and leukaemia stemness measured as leukaemic stem cell score (pLSC6) has been proposed to identify high-risk paediatric acute myeloid leukaemia (AML) patients. However, the role of epigenetics in defining prognosis still needs to be established. We evaluated the role of 89 miRNAs regulating stemness and their contribution to predicting outcomes in 110 paediatric patients with acute leukaemia. We identified a 24-miRNA signature capable of distinguishing paediatric AML patients with excellent or poor outcomes. We validated these results in an independent cohort using public repository-based data. The 24-miRNA signature was significantly associated with the leukaemic stemness scores and the underlying genetics of patients. Notably, the combination of classical prognostic factors (MRD and genetics), the pLSC6 score and the 24-miRNA signature had a higher capacity to predict the overall and event-free survival than each variable individually. Our 24-miRNA signature provides epigenetic data to integrate into genetics, MRD and stemness-related leukaemic scores to refine risk stratification in paediatric AML patients.