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. 2022 May 23;4(1):vdac076. doi: 10.1093/noajnl/vdac076

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© The Author(s) 2022. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 1. — Identification of hypermutant and non-hypermutant subtypes and in vivo modelling of recurrence. (A) hierarchical clustering of 114 recurrent glioma exomes and (B) silhouette analysis of cluster stability. (C) Per-tumor analysis of mutational features including mutational spectrum (top) signature contribution (middle) and total single nucleotide variants (bottom) highlighting characteristics of hypermutant and non-hypermutant recurrent glioma (D) Exome analysis of in vivo models of GBM following treatment with TMZ demonstrating emergence of hypermutant and non-hypermutant subtypes.