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Combination therapy of cancer with cancer vaccine and immune checkpoint inhibitors: A mathematical model

In this paper we consider a combination therapy of cancer. One drug is a vaccine which activates dendritic cells so that they induce more T cells to infiltrate the tumor. The other drug is a checkpoint inhibitor, which enables the T cells to remain active against the cancer cells. The two drugs are...

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Published in:PloS one 2017-05, Vol.12 (5), p.e0178479-e0178479
Main Authors: Lai, Xiulan, Friedman, Avner
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description In this paper we consider a combination therapy of cancer. One drug is a vaccine which activates dendritic cells so that they induce more T cells to infiltrate the tumor. The other drug is a checkpoint inhibitor, which enables the T cells to remain active against the cancer cells. The two drugs are positively correlated in the sense that an increase in the amount of each drug results in a reduction in the tumor volume. We consider the question whether a treatment with combination of the two drugs at certain levels is preferable to a treatment by one of the drugs alone at 'roughly' twice the dosage level; if that is the case, then we say that there is a positive 'synergy' for this combination of dosages. To address this question, we develop a mathematical model using a system of partial differential equations. The variables include dendritic and cancer cells, CD4+ and CD8+ T cells, IL-12 and IL-2, GM-CSF produced by the vaccine, and a T cell checkpoint inhibitor associated with PD-1. We use the model to explore the efficacy of the two drugs, separately and in combination, and compare the simulations with data from mouse experiments. We next introduce the concept of synergy between the drugs and develop a synergy map which suggests in what proportion to administer the drugs in order to achieve the maximum reduction of tumor volume under the constraint of maximum tolerated dose.
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One drug is a vaccine which activates dendritic cells so that they induce more T cells to infiltrate the tumor. The other drug is a checkpoint inhibitor, which enables the T cells to remain active against the cancer cells. The two drugs are positively correlated in the sense that an increase in the amount of each drug results in a reduction in the tumor volume. We consider the question whether a treatment with combination of the two drugs at certain levels is preferable to a treatment by one of the drugs alone at 'roughly' twice the dosage level; if that is the case, then we say that there is a positive 'synergy' for this combination of dosages. To address this question, we develop a mathematical model using a system of partial differential equations. The variables include dendritic and cancer cells, CD4+ and CD8+ T cells, IL-12 and IL-2, GM-CSF produced by the vaccine, and a T cell checkpoint inhibitor associated with PD-1. We use the model to explore the efficacy of the two drugs, separately and in combination, and compare the simulations with data from mouse experiments. We next introduce the concept of synergy between the drugs and develop a synergy map which suggests in what proportion to administer the drugs in order to achieve the maximum reduction of tumor volume under the constraint of maximum tolerated dose.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28542574</pmid><doi>10.1371/journal.pone.0178479</doi><tpages>e0178479</tpages><orcidid>https://orcid.org/0000-0002-2764-8937</orcidid><oa>free_for_read</oa></addata></record>
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subjects Analysis
Animals
Antigens
Antineoplastic agents
Biology and Life Sciences
Breast cancer
Cancer
Cancer therapies
Cancer treatment
Cancer vaccines
Cancer Vaccines - immunology
Cancer Vaccines - pharmacology
CD4 antigen
CD4-Positive T-Lymphocytes - drug effects
CD4-Positive T-Lymphocytes - immunology
CD8 antigen
CD8-Positive T-Lymphocytes - drug effects
CD8-Positive T-Lymphocytes - immunology
Cell death
Cell division
Cell Line, Tumor
Chemotherapy
Clinical trials
Combination drug therapy
Combination therapy
Combined Modality Therapy - methods
Dendritic cells
Dendritic Cells - drug effects
Dendritic Cells - immunology
Differential equations
Dosage
Dosage and administration
Drugs
Gene expression
Granulocyte-macrophage colony-stimulating factor
Granulocyte-Macrophage Colony-Stimulating Factor - immunology
Humans
Immune checkpoint
Immunosuppressive agents
Immunotherapy
Inhibitors
Interleukin 12
Interleukin 2
Interleukin-12 - immunology
Interleukin-2 - immunology
Lung cancer
Lymphocytes
Lymphocytes T
Mathematical models
Medicine and Health Sciences
Mice
Models, Theoretical
Neoplasms - drug therapy
Neoplasms - immunology
Ordinary differential equations
Partial differential equations
PD-1 protein
Physical Sciences
Rodents
Treatment outcome
Tumor Burden - drug effects
Tumor Burden - immunology
Tumors
Vaccines
title Combination therapy of cancer with cancer vaccine and immune checkpoint inhibitors: A mathematical model
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