Modelling intercellular communication and its effects on tumour invasion

Area of Science:

• Computational biology
• Mathematical oncology
• Biophysics

Background:

• Gliomas exhibit invasive character driven by intercellular communication.
• Previous models utilized cellular automata for glioma behavior.
• Understanding cell migration is crucial for glioma treatment.

Purpose of the Study:

• To develop a 3D model describing intercellular communication in glioma invasion.
• To investigate the effect of inhibiting intercellular communication on cell migration.
• To estimate the potential impact on glioma patient life expectancy.

Main Methods:

• Developed a 3D cellular automaton model.
• Introduced the hydrodynamic limit to derive a macroscopic nonlinear diffusion equation.
• Compared simulation results with experimental data.

Main Results:

• The macroscopic model accurately describes realistic glioma invasion scenarios.
• Inhibiting intercellular communication via gap junctions significantly decreases glioma cell migration.
• Model simulations suggest a potential 20% increase in life expectancy for unresectable glioma cases.

Conclusions:

• The 3D model provides a robust framework for studying glioma invasion.
• Targeting intercellular communication is a promising therapeutic strategy for gliomas.
• Reduced cell migration through gap junction inhibition may improve patient outcomes.