Single-agent kinase inhibitors are promising in principle, but often fail in practice because the network of tumor kinases learns how to get around the inhibitor, leading to rapid drug resistance. We're very excited about the test our lab has developed because it works very well in a model of breast cancer to predict the success of combination therapies.