  This research project investigates the critical role of oncostreams in glioma
aggressiveness, leveraging advanced ex-vivo 3D explants and in-vivo intravital
imaging techniques to establish a direct correlation between oncostream density
and cancer severity. The primary objective is to model the cell populations
within oncostreams, with a specific focus on GFP+ NPA cells, to simulate cancer
dynamics and provide insights into tumor behavior. The study employs a simple
Birth-Death process to analyze cell population dynamics and treatment effects,
building and solving Kolmogorov equations to predict changes in cell population
over time.
  While the model could be expanded to include additional modulators such as
morphological attributes and neurotransmitter exposure, the focus remains on
cell population to maintain feasibility. The study also examines various
treatment methods, finding that glutamate increases glioma cell movement while
histamine reduces it. Collagenase treatment effectively dismantles oncostreams,
suggesting a potential therapeutic strategy. For this paper, we specifically
are going to be looking at Cytochalasin D, which shows promise in disrupting
oncostreams and reducing glioma invasiveness. By integrating these treatment
variables into the model, the research aims to understand their impact on
glioma cell density within the oncostreams and aggressiveness, thereby
contributing to improved cancer management strategies. This comprehensive
approach is expected to enhance our understanding of glioma progression and
inform the development of effective therapeutic interventions.
