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Three Models were Built in STELLA Model 3: tumor suppressor genes repair ALL mutations of proto-oncogenes. This continues until both alleles of at least one tumor suppressor gene are mutated, at which time repair of mutated proto-oncogenes ceases and tumors are free to form if there are enough mutated proto-oncogenes. Model 3, Run 1 Model 3, Run 2 A Java Version of Model 1 Was Built to Collect a Large Dataset The Results of Model 1 Run 100,000 Times Number of individuals who got cancer per 100,000 people Age (in arbitrary units) at onset of cancer How Well Does the Simulation using Model 1 Match the Actual Data? Numbers of cases Age at which curve starts to rise steeply Assumptions Made in the Models that Could be further Refined Mutations are “bad”: any mutation alters the function of the protein Refinement: take into account different kinds of mutations such as silent mutations and conservative substitutions of amino acids Also, how do we match this to real time in a real organ?