On immunotherapies and cancer vaccination protocols: a mathematical modelling approach

Badal Joshi, Xueying Wang, Sayanti Banerjee, Haiyan Tian, Anastasios Matzavinos, Mark A. J. Chaplain

Research output: Contribution to journalArticlepeer-review

52 Citations (Scopus)

Abstract

In this paper we develop a new mathematical model of immunotherapy and cancer vaccination, focusing on the role of antigen presentation and co-stimulatory signaling pathways in cancer immunology. We investigate the effect of different cancer vaccination protocols on the well-documented phenomena of cancer dormancy and recurrence, and we provide a possible explanation of why adoptive (i.e. passive) immunotherapy protocols can sometimes actually promote tumour growth instead of inhibiting it (a phenomenon called immunostimulation), as opposed to active vaccination protocols based on tumour-antigen pulsed dendritic cells. Significantly, the results of our computational simulations suggest that elevated numbers of professional antigen presenting cells correlate well with prolonged time periods of cancer dormancy. (C) 2009 Elsevier Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)820-827
Number of pages8
JournalJournal of Theoretical Biology
Volume259
Issue number4
DOIs
Publication statusPublished - 21 Aug 2009

Keywords

  • Cancer vaccination
  • Immunotherapy
  • Cancer dormancy
  • Cancer recurrence
  • Cytotoxic T-lymphocytes
  • Immune cells competition
  • Bifurcation analysis
  • Tumor immunology
  • Dendritic cells
  • T cells
  • System
  • Growth
  • Dynamics
  • Perspectives
  • Vaccines

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