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. 2023 Feb 2;4(2):181–202. doi: 10.1038/s43018-022-00510-x

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© The Author(s) 2023

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Extended Data Fig. 7 — a-b, Heat map showing the median abundance of the 150 highest scoring proteins of the ranked lists (two-sided MWW test) of the four functional subtypes in a, PG-LGG and b, PG-HGG (two-sided MWW test). Rows are proteins and columns are functional subtypes (n = 82 PG-LGG samples; n = 22 PG-HGG samples). Left and top color tracks indicate functional subtypes. Unsupervised clustering was performed for each subtype-specific protein signature. For each subtype, biological pathways significantly enriched by each gene subcluster are reported on the left (P < 0.05, Fisher’s exact test). c, Kaplan–Meier curves of PG (n = 94 patients) stratified by SNF combining gene and protein signatures obtained from the functional GBM subtypes. Patients in the PPR subgroup exhibit significantly worse survival (log-rank test).