  Herewith we discuss a network model of the ferroptosis avascular and vascular
tumor growth based on our previous proposed framework. Chiefly, ferroptosis
should be viewed as a first order phase transition characterized by a
supercritical Andronov Hopf bifurcation, with the emergence of limit cycle. The
increase of the population of the oxidized PUFA fragments, take as the control
parameter, involves an inverse Feigenbaum, (a cascade of saddle foci
Shilnikov's bifurcations) scenario, which results in the stabilization of the
dynamics and in a decrease of complexity.
