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

2. Outline Background Motivation Method Results Conclusion

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

4. 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

5. Motivation Determining optimal vaccination protocol

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

7. Method: Internal States

8. Method: Interactions

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

10. Results 1:

11. Results 2

12. Results 4

13. Results 3

14. 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