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. 2019 Mar 26;9:5154. doi: 10.1038/s41598-019-41625-z

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© The Author(s) 2019

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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Proteomics data is related to patient survival. (A,B) 2A. Kaplan Meier plots for patient clusters obtained by (A) consensus clustering using 1306 proteins quantified in at least 70% of the samples (shown in Suppl. Fig. S3C) (B) consensus clustering using only the 27 survival-related proteins, with significant Cox scores (shown in Suppl. Fig. S3D). (C) Two-way hierarchical clustering of the 27 survival-related proteins and the patient samples. Red: high expression. Blue: low expression. Patient clusters coloured as in (B).