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. 2019 Jan 3;8(3):1558664. doi: 10.1080/2162402X.2018.1558664

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© 2018 The Author(s). Published with license by Taylor & Francis Group, LLC

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

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Figure 3. — Boxplots of estimated immune cell fractions in each GEO-dataset consensus cluster. We applied the recently developed CIBERSORT method to estimate the fraction of 22 immune cell types. In the ‘Oestrogen response/p53-pathway’ subclass, higher estimated fractions of resting mast cells were observed as compared to the other clusters. In the ‘Immune’ subclass, estimated fractions of M1 macrophages, activated CD4 + memory and CD8 + T-cells, naïve B-cells and plasma cells were higher as compared to other subclasses.