A novel approach for tumor sensitivity prediction and combination therapy design for targeted drugs

Drugs that target specific kinases are becoming common in cancer research. Cancer-related kinases are the paradigm of molecularly-targeted therapies, and a cornerstone of Personalized Cancer Therapy. Here, we present an approach to generate abstract circuit representations of cancer pathways from drug tumor sensitivity data of a cell line and utilize them to predict the sensitivities of a new drug given the kinase inhibitors of the drug and to design and measure the effectiveness of drug combination therapies.