dorsal/arxiv
View SchemaDifferent Strategies for Cancer Treatment: Mathematical Modeling
| Authors | O. G. Isaeva, V. A. Osipov |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0605046 |
| URL | https://arxiv.org/abs/q-bio/0605046 |
| License | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
Abstract
We formulate and analyze a mathematical model describing immune response to avascular tumor under the influence of immunotherapy and chemotherapy and their combinations as well as vaccine treatments. The effect of vaccine therapy is considered as a parametric perturbation of the model. In the case of a weak immune response, neither immunotherapy nor chemotherapy is found to cause tumor regression to a small size, which would be below the clinically detectable threshold. Numerical simulations show that the efficiency of vaccine therapy depends on both the tumor size and the condition of immune system as well as on the response of the organism to vaccination. In particular, we found that vaccine therapy becomes more effective when used without time delay from a prescribed date of vaccination after surgery and is ineffective without preliminary treatment. For a strong immune response, our model predicts the tumor remission under vaccine therapy. Our study of successive chemo/immuno, immuno/chemo and concurrent chemoimmunotherapy shows that the chemo/immuno sequence is more effective while concurrent chemoimmunotherapy is more sparing.
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"abstract": "We formulate and analyze a mathematical model describing immune response to\navascular tumor under the influence of immunotherapy and chemotherapy and their\ncombinations as well as vaccine treatments. The effect of vaccine therapy is\nconsidered as a parametric perturbation of the model. In the case of a weak\nimmune response, neither immunotherapy nor chemotherapy is found to cause tumor\nregression to a small size, which would be below the clinically detectable\nthreshold. Numerical simulations show that the efficiency of vaccine therapy\ndepends on both the tumor size and the condition of immune system as well as on\nthe response of the organism to vaccination. In particular, we found that\nvaccine therapy becomes more effective when used without time delay from a\nprescribed date of vaccination after surgery and is ineffective without\npreliminary treatment. For a strong immune response, our model predicts the\ntumor remission under vaccine therapy. Our study of successive chemo/immuno,\nimmuno/chemo and concurrent chemoimmunotherapy shows that the chemo/immuno\nsequence is more effective while concurrent chemoimmunotherapy is more sparing.",
"arxiv_id": "q-bio/0605046",
"authors": [
"O. G. Isaeva",
"V. A. Osipov"
],
"categories": [
"q-bio.CB"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"title": "Different Strategies for Cancer Treatment: Mathematical Modeling",
"url": "https://arxiv.org/abs/q-bio/0605046"
},
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