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. 2021 Jan 4;22:7. doi: 10.1186/s13059-020-02230-w

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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/. 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. 4 — Analysis of upper tract urothelial carcinomas (UTUC) transcriptome. a Unsupervised mRNA clustering of 20 UTUC cases showing two clusters, with no clear association identified between them and clinical tumor features. b OncoPrint depicting UTUC subtypes according to the molecular consensus classification of muscle-invasive bladder cancers. Recurrent somatic mutations in those UTUC cases with available genetic data are also shown. c, d Immune and stromal gene expression scores in muscle-invasive (MI) and non-muscle-invasive (NMI) UTUC samples. e, f Immune and stromal gene expression scores in FGFR3-mutated and FGFR3 wild-type UTUC samples. DMBcluster: DNA methylation-based epi-cluster; MWBcluster: mutation weight-based cluster; RNAcluster: RNA expression-based cluster