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. 2021 Aug 21;142(5):841–857. doi: 10.1007/s00401-021-02354-8

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — Differential expression analysis between NET-PATZ1 and a reference cohort of other glioma subtypes; IGF2, GATA2, PAX2 and PATZ1 and are more highly expressed in NET-PATZ1 cases when compared with representative pediatric HGG or LGG tumors, while CD34 and NG2 (CSPG4) could represent potential IHC staining markers for NET-PATZ1. Gene expression values are shown as TPM (transcripts per kilobase million). Where relevant, bars indicate median and 1st/3rd Quartile. H3.3 G34R glioblastoma, IDH wildtype, H3.3 G34 mutant; H3.3 K27M diffuse midline glioma H3 K27M mutant: pedGBM_MYCN, glioblastoma, IDH wildtype, subclass MYCN; pedRTKI, glioblastoma, IDH wildtype, subclass RTK I; pedRTKII, glioblastoma, IDH wildtype, subclass RTK II; PXA pleomorphic xanthoastrocytoma; PA_BRAF_Fus pilocytic astrocytoma with BRAF fusion