“Modeling and simulation of cancer immunoprevention vaccine” by F.Pappalardo et al Summary by Dhondup Pemba SoCalBSI

Outline Background Motivation Method Results Conclusion

Background 2:Cancer Immunoprevention Cervical Cancer  Papilloma Vaccination Hepatocellular Carcinoma  Hepatitis B Vaccination Tumors not linked to viruses?

Background 3: In vivo experiment HER2 Transgenic mouse Triplex Vaccine 5 Vaccination Protocols  Early – 6 weeks  Late – 10 weeks  Very late – 16 weeks  Chronic- 6 weeks with repetition  Untreated

Motivation Determining optimal vaccination protocol

Method: Model type Modified Lattice Gas Automata  Class of Dynamical Systems  Particles move in discrete time steps  Stochastic relationship between interacting entities

Method: Internal States

Method: Interactions

Method: Model Algorithm SimTriplex Simulator Initialization Iteration  Interaction Dynamics  Internal Dynamics  Output

Results 1:

Results 2

Results 4

Results 3

Conclusion: Excellent agreement between in vivo and in silico models Important Biological point that can be further examined  Antibodies instead of T cells as the control of tumor growth Future expansion to predict vaccination schedules  Saves time  Money