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. 2023 Jan 16;11:14. doi: 10.1186/s40478-023-01506-z

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© The Author(s) 2023

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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — t-distributed stochastic neighbor embedding DNA-methylation profiling data analysis. t-SNE analysis of 23 glioma samples with FGFR3::TACC3 fusion (black triangles and blue triangles for recurrences) compared to reference cohort samples retrieved from our DNA-methylation profiling database that were classified by the v12.5 version of the Heidelberg classifier with calibrated scores (CS) > 0.9 as follows: glioblastoma, IDH-wildtype mesenchymal subtype methylation class (MC) (12 cases, blue dots); glioblastoma, IDH-wildtype RTK1 subtype MC (12 cases, purple dots); glioblastoma, IDH-wildtype RTK2 subtype MC (12 cases, grey dots); LGG DNET MC (11 cases, yellow dots); and LGG GG MC (10 cases, green dots)