Modeling and simulation of cancer immunoprevention vaccine

Bioinformatics. 2005 Jun 15;21(12):2891-7. doi: 10.1093/bioinformatics/bti426. Epub 2005 Apr 7.

Abstract

We present an in silico model that simulates the immune system responses to tumor cells in naive and vaccinated mice. We have demonstrated the ability of this model to accurately reproduce the experimental results.

Motivation: In vivo experiments on HER-2/neu mice have shown the effectiveness of Triplex vaccine in the protection of mice from mammary carcinoma. Full protection was conferred using chronic (prophylactic) vaccination protocol while therapeutic vaccination was less efficient. Our in silico model was able to closely reproduce the effects of various vaccination protocols. This model is the first step towards the development of in silico experiments searching for optimal vaccination protocols.

Results: In silico experiments carried out on two large statistical samples of virtual mice showed very good agreements with in vivo experiments for all experimental vaccination protocols. They also show, as supported by in vivo experiments, that the humoral response is fundamental in controlling the tumor growth and therefore suggest the selection and timing of experiments for measuring the activity of T cells.

Contact: francesco@dmi.unict.it

Supplementary information: http://www.dmi.unict.it/CIG/suppdata_bioinf.html.

Publication types

  • Comparative Study
  • Evaluation Study
  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Animals
  • Cancer Vaccines / administration & dosage*
  • Cancer Vaccines / immunology*
  • Computer Simulation
  • Dose-Response Relationship, Drug
  • Drug Therapy, Computer-Assisted / methods*
  • Mammary Neoplasms, Experimental / immunology*
  • Mammary Neoplasms, Experimental / prevention & control*
  • Mice
  • Models, Biological*
  • Treatment Outcome
  • Vaccination / methods*

Substances

  • Cancer Vaccines