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. 2020 Sep 25;11:4858. doi: 10.1038/s41467-020-18640-0

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© The Author(s) 2020, corrected publication 2022

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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Fig. 5 — a Clustering of samples based on hypermethylation events (n = 5000). Heatmap shows beta values and the right panel shows normal bladder and leukocyte beta values for comparison. b Methylation clusters compared to gene expression subtypes. c Gene set scores calculated using xCell and stratified by methylation clusters (HMC2: n = 17; HMC1: n = 31; HMC3: n = 16). d RECIST 1.1 response measurements stratified by methylation clusters. MEscore = Microenvironment score. P-values were calculated using a Wilcoxon rank-sum test. For all boxplots, the center line represents the median, box hinges represent first and third quartiles, whiskers represent ±1.5 × interquartile range (IQR) and points represent outliers. Source data are provided as a Source data file.