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. 2019 Feb 21;9:2495. doi: 10.1038/s41598-019-39891-y

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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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Connectivity scores of the top 8 drugs from previous analysis plotted against the estimated tumour purity. The blue line is a LOESS smoother. The Spearman rank correlation coefficients and P-values are displayed in the top left of each plot. With increasing estimated tumour purity, the connectivity scores start trending towards neutral (i.e. it suggests the drugs are expected to target the genes expressed by the non-cancerous cells present at lower tumour purity). When the correlation is tested using normal (i.e. Pearson) linear regression, or the samples <80% estimated tumour purity are compared to the samples >80% estimated tumour purity using the Wilcoxon rank-sum test, all resulting P values are below 0.001 (Supplementary Table S3).