Integrative phosphoproteomics defines two biologically distinct groups of KMT2A rearranged acute myeloid leukaemia with different drug response phenotypes.
Pedro CasadoAna Rio-MachinJuho J MiettinenFindlay Bewicke-CopleyKevin Rouault-PierreSzilvia KrizsánAlun ParsonsVinothini RajeeveFarideh Miraki-MoudDavid C TaussigCsaba BödörJohn GribbenCaroline A HeckmanJude FitzgibbonPedro Rodriguez CutillasPublished in: Signal transduction and targeted therapy (2023)
Acute myeloid leukaemia (AML) patients harbouring certain chromosome abnormalities have particularly adverse prognosis. For these patients, targeted therapies have not yet made a significant clinical impact. To understand the molecular landscape of poor prognosis AML we profiled 74 patients from two different centres (in UK and Finland) at the proteomic, phosphoproteomic and drug response phenotypic levels. These data were complemented with transcriptomics analysis for 39 cases. Data integration highlighted a phosphoproteomics signature that define two biologically distinct groups of KMT2A rearranged leukaemia, which we term MLLGA and MLLGB. MLLGA presented increased DOT1L phosphorylation, HOXA gene expression, CDK1 activity and phosphorylation of proteins involved in RNA metabolism, replication and DNA damage when compared to MLLGB and no KMT2A rearranged samples. MLLGA was particularly sensitive to 15 compounds including genotoxic drugs and inhibitors of mitotic kinases and inosine-5-monosphosphate dehydrogenase (IMPDH) relative to other cases. Intermediate-risk KMT2A-MLLT3 cases were mainly represented in a third group closer to MLLGA than to MLLGB. The expression of IMPDH2 and multiple nucleolar proteins was higher in MLLGA and correlated with the response to IMPDH inhibition in KMT2A rearranged leukaemia, suggesting a role of the nucleolar activity in sensitivity to treatment. In summary, our multilayer molecular profiling of AML with poor prognosis and KMT2A-MLLT3 karyotypes identified a phosphoproteomics signature that defines two biologically and phenotypically distinct groups of KMT2A rearranged leukaemia. These data provide a rationale for the potential development of specific therapies for AML patients characterised by the MLLGA phosphoproteomics signature identified in this study.
Keyphrases
- poor prognosis
- end stage renal disease
- acute myeloid leukemia
- dna damage
- gene expression
- chronic kidney disease
- ejection fraction
- newly diagnosed
- prognostic factors
- liver failure
- peritoneal dialysis
- oxidative stress
- machine learning
- emergency department
- cell cycle
- preterm infants
- dna repair
- binding protein
- extracorporeal membrane oxygenation
- replacement therapy
- copy number
- adverse drug
- network analysis
- protein kinase