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Fig. 5 | Cancer & Metabolism

Fig. 5

From: Molecular features that predict the response to antimetabolite chemotherapies

Fig. 5

Analysis of additional determinants of sensitivity to antimetabolite agents demonstrates variability among these agents. a The significance of association between metabolic profiles (consumption and release rates (CORE)) and sensitivity to drugs (− log (IC-50)) was assessed using Spearman correlations (SC) across the NCI-60 cell line panel. The y-axis shows negative log-10 of the corresponding correlation p values for only the significant associations found (q value < 0.05). b Hierarchical clustering of the Pearson similarity matrix between the IC-50 values of 17 antimetabolite agents across the NCI-60 panel. The diagonal shows correlation of each drug with itself (= 1). The yellow boxes show three distinct clusters of drugs. c Spearman correlation coefficient (SCC) between proliferation rate (kp) and sensitivity to each drug (− log (IC-50)) is shown. Solid bars show significant correlations (FDR-corrected q value < 0.05). d Spearman correlation coefficient (SCC) between cell volume (V) and sensitivity to each drug (− log (IC-50)) is shown. Solid bars show significant correlations (FDR-corrected q value < 0.05). e Spearman correlation coefficient (SCC) between growth rate (kg) and sensitivity to each drug (− log (IC-50)) is shown. Solid bars show significant correlations (FDR-corrected q-value < 0.05)

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