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System should integrate clinical data (from TCGA), preclinical data (comes from UC Davis)

Use case: Breast cancer has biomarkers (progesterone status, etc.). One question to ask is "if the estrogen status is negative in humans, what does the pathology look like?" Then compare this to mice. Is the model we have a good model for the human condition?

If you treat a mouse model that has an ER negative status with a certain drug, what is the outcome? Then see this in humans.

We are setting up the data structure so when that is done, we'll be able to see what use cases are possible.

To make data comparable, we must collect it in a structured fashion. Common Data Elements for TCGA.

We are pulling data out of caDSR (ER negative and positive, other common data elements) and we are asking Bob Cardiff's team to ask the same questions so that we can compare human and mouse data.