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Yang and colleagues perform a network system–pharmacology approach and clinical data integration, and identify LCK and BCL2 signaling as the molecular determinants of dasatinib response in pediatric and adult patients with T-ALL.
Ferrando and colleagues identify FYN–TRAF3IP2 as a recurrent oncogenic gene fusion that promotes angioimmunoblastic T-cell lymphoma and peripheral T-cell lymphoma not otherwise specified through the activation of NF-κB signaling.
Garofano et al. use single-cell RNA-sequencing data to classify glioblastomas along a metabolic axis of mitochondrial and glycolytic/plurimetabolic states and a neurodevelopmental axis of proliferative/progenitor and neuronal states.
Zhang and colleagues report that targeting GLS1 alleviates the glutamine dependence of ARID1A-mutated ovarian clear cell carcinomas, thereby suppressing their growth.
Pugh and colleagues use single-cell RNA sequencing, CRISPR screens and functional assays to define a gradient of developmental and wound-response cell states in glioblastoma stem cells, revealing insights into glioblastoma origins and potential therapeutic targets.