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. 2020 Jan 31;20:37. doi: 10.1186/s12935-020-1116-3

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© The Author(s) 2020

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. 2 — a Boxplots showing comparisons between tumor purity (CPE scores) between transcriptome molecular subtypes. For each comparison, data were analyzed using student’s t-test or one-way ANOVA. Box plot center, box, and whiskers correspond to the median, IQR and 1.5xIQR (interquartile range), respectively. b Kaplan–Meier curves for overall survival according to tumor purity. c Workflow of construction of 5-gene purity-associated signature. d Kaplan–Meier curves for overall survival devided by risk score in TCGA-GBM dataset. e Risk score is an independent prognostic factor in TCGA-GBM dataset. CL classical, ME mesenchymal, NE neural, PN proneural