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Open Access Research

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

Jun Wang1, Le Zhang12*, Chenyang Jing1, Gang Ye3, Hulin Wu2, Hongyu Miao2, Yukun Wu4 and Xiaobo Zhou5*

Author Affiliations

1 College of Computer and Information Science, Southwest University, Chongqing 400715, China

2 Department of Biostatistics and Computational Biology, Center for Biodefense Immune Modeling, University of Rochester, 601 Elmwood Avenue, Rochester, NY 14642, USA

3 Department of Urology, Center of Nephrology, The Second affiliated Hospital of the Third Military Medical University, Chongqing 400037, China

4 Center for Vaccine Development, University of Maryland School of Medicine, Baltimore, MD 21201, USA

5 Department of Radiology, The Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA

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Theoretical Biology and Medical Modelling 2013, 10:41  doi:10.1186/1742-4682-10-41

Published: 21 June 2013

Abstract

Background

Recently, melanoma has become the most malignant and commonly occurring skin cancer. Melanoma is not only the major source (75%) of deaths related to skin cancer, but also it is hard to be treated by the conventional drugs. Recent research indicated that angiogenesis is an important factor for tumor initiation, expansion, and response to therapy. Thus, we proposed a novel multi-scale agent-based computational model that integrates the angiogenesis into tumor growth to study the response of melanoma cancer under combined drug treatment.

Results

Our multi-scale agent-based model can simulate the melanoma tumor growth with angiogenesis under combined drug treatment. The significant synergistic effects between drug Dox and drug Sunitinib demonstrated the clinical potential to interrupt the communication between melanoma cells and its related vasculatures. Also, the sensitivity analysis of the model revealed that diffusivity related to the micro-vasculatures around tumor tissues closely correlated with the spread, oscillation and destruction of the tumor.

Conclusions

Simulation results showed that the 3D model can represent key features of melanoma growth, angiogenesis, and its related micro-environment. The model can help cancer researchers understand the melanoma developmental mechanism. Drug synergism analysis suggested that interrupting the communications between melanoma cells and the related vasculatures can significantly increase the drug efficacy against tumor cells.

Keywords:
Microenvironment; Drug synergism; Agent-based model; Multi-scale; Melanoma; Anti-angiogenesis