DIPG-35. IDENTIFYING DRIVER-SPECIFIC VULNERABILITIES IN PAEDIATRIC HIGH GRADE GLIOMA SUBTYPES

Abstract

Abstract Paediatric high-grade gliomas (pHGGs) are incurable malignant brain tumours and a leading cause of cancer-related death in children. The majority of pHGGs carry lysine-to-methionine (K27M) or glycine-to-arginine/valine (G34R/V) mutations in histone variants H3.1 or H3.3. Moreover, histone mutations associate with different anatomical locations and co-segregating mutations defining distinct tumour subtypes within pHGG. However whether these co-occuring mutations can act as drivers to modify tumour phenotypes and drug sensitivities is currently unknown. In order to functionally evaluate the role of partner alterations and to identify new therapeutic targets, we developed in vivo tumour models of pHGG subtypes using in utero electroporation (IUE) in combination with piggyBac transposon and CRISPR technology. We also established ex vivo glioma stem cell (GSCs) lines from mouse models with different co-segregating mutations, able to engraft in syngeneic immune-competent mice. Then, we performed transcriptome analysis and drug screening identifying selective pharmacological vulnerabilities. Our approach represents a preclinical platform to evaluate subtype-specific precision therapies identifying new pathways involved in brain tumour initiation, progression and maintenance.