Isaeva2009 - Different strategies for cancer treatment
Ontology highlight
ABSTRACT: We formulate and analyse a mathematical model describing immune response to avasculartumour under the influence of immunotherapy and chemotherapy and their combinations aswell as vaccine treatments. The effect of vaccine therapy is considered as a parametricperturbation of the model. In the case of a weak immune response, neither immunotherapy norchemotherapy is found to cause tumour regression to a small size, which would be below theclinically detectable threshold. Numerical simulations show that the efficiency of vaccinetherapy depends on both the tumour size and the condition of immune system as well as on theresponse of the organism to vaccination. In particular, we found that vaccine therapy becomesmore effective when used without time delay from a prescribed date of vaccination after surgeryand is ineffective without preliminary treatment. For a strong immune response, our modelpredicts the tumour remission under vaccine therapy. Our study of successive chemo/immuno,immuno/chemo and concurrent chemoimmunotherapy shows that the chemo/immunosequence is more effective while concurrent chemoimmunotherapy is more sparing.
SUBMITTER: Mohammad Umer Sharif Shohan
PROVIDER: MODEL2001140002 | BioModels | 2020-01-14
REPOSITORIES: BioModels
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