A cellular automaton model of Glioblastoma Multiforme growth and immunotherapy treatment

Abstract

Glioblastoma Multiforme (GBM) is a type of brain tumor that remains to be a lethal disease with a short survival time. Here, the proliferation of GBM tumor growth was simulated using cellular automaton (CA) model and was extended to simulating an immunotherapy treatment. Three different treatment durations were used to investigate the effects of different treatment rates on tumor growth. High rate treatment for a short time reduced proliferative activity, but did not fully eradicate the tumor. Medium and low rates for longer times were more successful in eliminating the tumor, with the low rate being more effective giving shorter time for tumor elimination.