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. 2022 Jan 14;36(4):901–912. doi: 10.1038/s41375-021-01502-z

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© The Author(s) 2022

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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Fig. 2 — Cell death rates were assessed by flowcytometry according to forward and side scatter criteria following exposure of primary BCP-ALL xenograft samples for 24 h to triplicates of increasing concentrations (1, 5, 10, 50, 100, 250, 500 nM, 1, 5 and 10 µM) of (A) venetoclax, (B) S63845 or (C) A-1331852. The EC₅₀ curves are color-coded as indicated in the legend. D–F Association of the EC₅₀ values of venetoclax, S63845, and A-1331852. Spearman correlation; r, correlation coefficient; p, significance. G 3D scatter plot showing an association of the EC₅₀ values of venetoclax, S63845, and A-1331852. Samples which are insensitive to venetoclax (EC₅₀ > 1 µM) but that are sensitive to at least one of the other two inhibitors are labeled in the graph. The colors of the symbols represent the EC₅₀ values of venetoclax as indicated in the legend and the sizes indicate the EC₅₀ values of S63845. H Scatter plot of the EC₅₀ values of the three inhibitors with individual data points of single PDX samples and medians (lines). Kruskal-Wallis test; p, significance.