Multi-scale agent-based modeling on melanoma and its related angiogenesis analysis

Area of Science:

• Computational oncology
• Cancer biology
• Pharmacology

Background:

• Melanoma is a prevalent and aggressive skin cancer, often resistant to conventional treatments.
• Angiogenesis plays a critical role in melanoma initiation, growth, and therapeutic response.
• Developing effective treatment strategies for melanoma remains a significant clinical challenge.

Purpose of the Study:

• To develop and validate a novel multi-scale agent-based computational model for simulating melanoma tumor growth with angiogenesis.
• To investigate the response of melanoma to combined drug treatments using the developed model.
• To explore the synergistic effects of drug combinations and identify key factors influencing tumor dynamics.

Main Methods:

• A multi-scale agent-based computational model was developed, integrating angiogenesis into tumor growth dynamics.
• The model was used to simulate melanoma progression under combined drug treatment scenarios.
• Sensitivity analysis was performed to assess the impact of micro-vascular properties on tumor behavior.

Main Results:

• The model successfully simulated melanoma tumor growth, incorporating angiogenesis and response to combined drug therapy.
• Significant synergistic effects were observed between Doxorubicin (Dox) and Sunitinib, highlighting their potential to disrupt melanoma cell-vasculature interactions.
• Model sensitivity analysis indicated that micro-vasculature diffusivity is crucial for tumor spread, oscillation, and destruction.

Conclusions:

• The 3D computational model accurately represents key aspects of melanoma growth, angiogenesis, and the tumor micro-environment.
• The model serves as a valuable tool for understanding melanoma developmental mechanisms and evaluating therapeutic strategies.
• Interrupting communication between melanoma cells and vasculature significantly enhances drug efficacy, offering a promising approach for melanoma treatment.