Novel therapeutic agents specifically targeting pathways involved in cancer pathogenesis
have been developed and are promising components of rationally designed combination
treatments for cancer. Theoretically, such therapies could be designed to target specifically the
molecular composition of individual tumors. We are pursuing a systems-based analysis approach
to move towards this goal. Large-scale measurements of molecular and cellular responses to
targeted interventions into cancer-relevant signal transduction pathways are being performed and
used to construct mathematical pathway models. Our aim is to use such models for predictions of
molecular responses to targeted therapies and to reveal nodes within signal transduction networks
that render cancer cells particular susceptible to therapeutic interventions.

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