Inferring tumor-specific cancer dependencies through integrating ex vivo drug response assays and drug-protein profiling
Fig 2
Results of protein dependence inference on the GDSC dataset.
(A) Shown are the data for nine kinases for which we found significant differences in the protein dependence coefficients between cancer types (one-way ANOVA, BH adjusted p-value < 0.05, Fold Change > 0.1). Within each panel, each point corresponds to a cell line. The coefficients were centered and scaled to obtain a per-protein z-score, and the points are grouped and colored by cancer type (ALL, red; AML, orange; DLBCL, green, BRCAHer-, blue; BRCAHer+, purple). (B) Radar plots of protein dependence coefficients across the different cancer types. Dashed line represents a protein dependence coefficient of zero. (C) Association between NRAS mutation status and MAP2K2 dependence. Association testing was performed using Student’s t-test (two-sided, with equal variance). (D) A heatmap showing the -log10(P-values) with signs determined by direction of fold changes of the associations between mutational background of the cell lines and protein dependence coefficients (Student’s t-test). Blue: associations with higher dependence coefficients in mutated cases; red: lower dependence coefficients in mutated cases; stars indicate the associated pass 10% FDR control.