Mathematical Modelling of Cancer Progression Driven by Chornic Inflammation and Immune Suppression

Aim – The study aims to develop a mathematical model to analyze cancer progressioninfluenced by chronic inflammation, immune suppression and vascular support and tounderstand their combined impact on tumor dynamicsMethodology: A system of nonlinear ordinary differential equations is formulated torepresent the interactions between tumor cells, inflammation, immune suppression andcarrying capacity. The model is analyzed using equilibrium analysis, Jacobian-based stabilitymethods and numerical simulations to examine system behavior under biologically relevantconditions.Results: The analysis reveals that chronic inflammation significantly enhances tumor growthby increasing the effective growth rate and promoting immune suppression. The equilibriumstudy shows the existence of a stable tumor present state while stability analysis confirms thatthe system converges to this state over time. Graphical simulations demonstrate sigmoidaltumor growth, increasing inflammation and immune escape dynamics.Conclusion: The model highlights that cancer progression is driven by a feedbackmechanism involving inflammation and immune suppression. These findings suggest thattargeting inflammation and immune response pathways may be effective strategies forcontrolling tumor growth.