E2F1 and neoplasm: Thus, if the influence network was to be translated into a logical model and simulated for each patient profile (set of mutations or genetic alterations known for the genes included in the model) with accompanying clinical information (stage of the tumor), we would expect to see the solutions of the simulation, referred to as stable states, of an invasive patient with active E2F1, E2F2, and EF3 target variables (equal to 1) whereas the stable states for patients with superficial tumors with these variables equal to 0.