bioRxivCancer BiologyPreprint
Phospho 394Y LCK flow-cytometry readout predicts dasatinib sensitivity in paediatric T-cell acute lymphoblastic leukaemia
Alistair A. PolliD, Yuzhe ShiiD, Kerstin Katharina RauwolfiD, Beat C. BornhauseriD, Andreas E. KulozikiD, Jean‐Pierre BourquiniD, Julie A. E. IrvingiD, Frederik W. van DelftiD
Abstract
Children with T-cell acute lymphoblastic leukaemia (T-ALL) who relapse or fail induction have poor outcomes. A subset of cases shows glucocorticoid resistance reversible by dasatinib through inhibition of LCK-dependent signalling. To identify a practical biomarker of dasatinib response, we compared in-vitro drug sensitivity with basal phosphorylation of pre-TCR pathway proteins in 28 paediatric T-ALL patient-derived xenografts (PDX). Phospho-flow cytometry quantified LCK (pY394), ZAP70 (pY319) and CD3{zeta} (pY142), normalised to internal controls. Dasatinib IC50 values correlated significantly with pLCK and pZAP70, with pLCK providing the best single-marker performance across clinically relevant thresholds. Logistic, ROC and precision-recall analyses confirmed that pLCK alone achieved excellent classification (AUC [≥] 0.9), while multivariate models added minimal predictive value. Model selection using LASSO and Bayesian Information Criterion further supported pLCK as the dominant predictor. These findings establish pLCK as a robust, scalable biomarker of dasatinib sensitivity suitable for diagnostic integration. A multicentre international validation programme is underway to harmonise pLCK assay protocols, expand testing across biobanks, and assess clinical feasibility in newly diagnosed and relapsed patients within the ALLTogether and HEM-iSMART trials respectively.
- organism: human
- assay: flow cytometry
- research focus: drug response / drug discovery
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 0
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