Glioblastoma multiforme (GBM) is a lethal brain tumour in adults and children. However, DNA copy number and gene expression signatures indicate differences between adult and paediatric cases. To explore the genetic events underlying this distinction, we sequenced the exomes of 48 paediatric GBM samples. Somatic mutations in the H3.3-ATRX-DAXX chromatin remodelling pathway were identified in 44% of tumours (21/48). Recurrent mutations in H3F3A, which encodes the replication-independent histone 3 variant H3.3, were observed in 31% of tumours, and led to amino acid substitutions at two critical positions within the histone tail (K27M, G34R/G34V) involved in key regulatory post-translational modifications. Mutations in ATRX (α-thalassaemia/mental retardation syndrome X-linked) and DAXX (death-domain associated protein), encoding two subunits of a chromatin remodelling complex required for H3.3 incorporation at pericentric heterochromatin and telomeres, were identified in 31% of samples overall, and in 100% of tumours harbouring a G34R or G34V H3.3 mutation. Somatic TP53 mutations were identified in 54% of all cases, and in 86% of samples with H3F3A and/or ATRX mutations. Screening of a large cohort of gliomas of various grades and histologies (n = 784) showed H3F3A mutations to be specific to GBM and highly prevalent in children and young adults. Furthermore, the presence of H3F3A/ATRX-DAXX/TP53 mutations was strongly associated with alternative lengthening of telomeres and specific gene expression profiles. This is, to our knowledge, the first report to highlight recurrent mutations in a regulatory histone in humans, and our data suggest that defects of the chromatin architecture underlie paediatric and young adult GBM pathogenesis.

This report of initial and durable responses of recurrent GBM to immune checkpoint inhibition may have implications for GBM in general and other hypermutant cancers arising from primary (genetic predisposition) or secondary MMRD.

Author Contributions S.J. and C.L.K. designed and coordinated analysis of single-cell data. S.J. and A.B.-C. performed the majority of the scRNA-seq analyses and visualizations. J.M. and G.B. contributed to the CNA analysis. Y.H. contributed to the algorithm for marker gene discovery. F.M.G.C., M.C., A.B.-C. and S.J. analyzed transcription factor activity in the scRNA-seq data. N.D.J., S.H. and S.J. contributed to the analysis of the bulk RNA-seq data and the data availability submission. M.V. contributed to timed mating and tissue isolation in developing mouse embryos. D.F., M.V. and L.K.D. and contributed to primary tissue isolation, preparation and production of scRNA-seq libraries. B.K. performed all experiments in cellular models. L.G., S.J., W.T.F. and K.K.M. contributed to literature review and cell cluster annotations. L.G. provided expert advice on identification of developing pre-cerebellar populations. M.K.M. and L.G.M. contributed to the clinical annotation of tumor samples. P.-E.L. and G.T. provided bulk adult human brain RNA-seq samples. M.R., B.P. and A.A. provided human fetal brain samples.