Figure 7.
Integration of multiple data types for precision therapy in MM. (A) Volcano plot showing drug candidates for treating tumors with high predicted MAPK activity. Drug sensitivity data from Genomics of Drug Sensitivity in Cancer database (across 265 compounds tested) and MAPK scores from MM cell line transcriptome data (keatslab.org). P values are calculated based on the null hypothesis that no relationship exists between MAPK activity and inhibitor sensitivity. The 3 compounds with significant correlations between MAPK activity and drug sensitivity are highlighted in red. (B) Screenshot of the Multiple Myeloma Kinome Browser (https://tony-lin.shinyapps.io/depmap_app/). The example shows the integration of drug sensitivity data with phosphoproteome-based kinase activity predictions on MM cell lines for checkpoint kinase 1.

Integration of multiple data types for precision therapy in MM. (A) Volcano plot showing drug candidates for treating tumors with high predicted MAPK activity. Drug sensitivity data from Genomics of Drug Sensitivity in Cancer database (across 265 compounds tested) and MAPK scores from MM cell line transcriptome data (keatslab.org). P values are calculated based on the null hypothesis that no relationship exists between MAPK activity and inhibitor sensitivity. The 3 compounds with significant correlations between MAPK activity and drug sensitivity are highlighted in red. (B) Screenshot of the Multiple Myeloma Kinome Browser (https://tony-lin.shinyapps.io/depmap_app/). The example shows the integration of drug sensitivity data with phosphoproteome-based kinase activity predictions on MM cell lines for checkpoint kinase 1.

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