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Mathematical Modeling of Interleukin-27 Induction of Anti-Tumor T Cells Response
Interleukin-12 is a pro-inflammatory cytokine which promotes Th1 and cytotoxic T lymphocyte activities, such as Interferon-[Image: see text] secretion. For this reason Interleukin-12 could be a powerful therapeutic agent for cancer treatment. However, Interleukin-12 is also excessively toxic. Interl...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3954918/ https://www.ncbi.nlm.nih.gov/pubmed/24633175 http://dx.doi.org/10.1371/journal.pone.0091844 |
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author | Liao, Kang-Ling Bai, Xue-Feng Friedman, Avner |
author_facet | Liao, Kang-Ling Bai, Xue-Feng Friedman, Avner |
author_sort | Liao, Kang-Ling |
collection | PubMed |
description | Interleukin-12 is a pro-inflammatory cytokine which promotes Th1 and cytotoxic T lymphocyte activities, such as Interferon-[Image: see text] secretion. For this reason Interleukin-12 could be a powerful therapeutic agent for cancer treatment. However, Interleukin-12 is also excessively toxic. Interleukin-27 is an immunoregulatory cytokine from the Interleukin-12 family, but it is not as toxic as Interleukin-12. In recent years, Interleukin-27 has been considered as a potential anti-tumor agent. Recent experiments in vitro and in vivo have shown that cancer cells transfected with IL-27 activate CD8(+) T cells to promote the secretion of anti-tumor cytokines Interleukin-10, although, at the same time, IL-27 inhibits the secretion of Interferon-[Image: see text] by CD8(+) T cells. In the present paper we develop a mathematical model based on these experimental results. The model involves a dynamic network which includes tumor cells, CD8(+) T cells and cytokines Interleukin-27, Interleukin-10 and Interferon-[Image: see text]. Simulations of the model show how Interleukin-27 promotes CD8(+) T cells to secrete Interleukin-10 to inhibit tumor growth. On the other hand Interleukin-27 inhibits the secretion of Interferon-[Image: see text] by CD8(+) T cells which somewhat diminishes the inhibition of tumor growth. Our numerical results are in qualitative agreement with experimental data. We use the model to design protocols of IL-27 injections for the treatment of cancer and find that, for some special types of cancer, with a fixed total amount of drug, within a certain range, continuous injection has better efficacy than intermittent injections in reducing the tumor load while the treatment is ongoing, although the decrease in tumor load is only temporary. |
format | Online Article Text |
id | pubmed-3954918 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39549182014-03-18 Mathematical Modeling of Interleukin-27 Induction of Anti-Tumor T Cells Response Liao, Kang-Ling Bai, Xue-Feng Friedman, Avner PLoS One Research Article Interleukin-12 is a pro-inflammatory cytokine which promotes Th1 and cytotoxic T lymphocyte activities, such as Interferon-[Image: see text] secretion. For this reason Interleukin-12 could be a powerful therapeutic agent for cancer treatment. However, Interleukin-12 is also excessively toxic. Interleukin-27 is an immunoregulatory cytokine from the Interleukin-12 family, but it is not as toxic as Interleukin-12. In recent years, Interleukin-27 has been considered as a potential anti-tumor agent. Recent experiments in vitro and in vivo have shown that cancer cells transfected with IL-27 activate CD8(+) T cells to promote the secretion of anti-tumor cytokines Interleukin-10, although, at the same time, IL-27 inhibits the secretion of Interferon-[Image: see text] by CD8(+) T cells. In the present paper we develop a mathematical model based on these experimental results. The model involves a dynamic network which includes tumor cells, CD8(+) T cells and cytokines Interleukin-27, Interleukin-10 and Interferon-[Image: see text]. Simulations of the model show how Interleukin-27 promotes CD8(+) T cells to secrete Interleukin-10 to inhibit tumor growth. On the other hand Interleukin-27 inhibits the secretion of Interferon-[Image: see text] by CD8(+) T cells which somewhat diminishes the inhibition of tumor growth. Our numerical results are in qualitative agreement with experimental data. We use the model to design protocols of IL-27 injections for the treatment of cancer and find that, for some special types of cancer, with a fixed total amount of drug, within a certain range, continuous injection has better efficacy than intermittent injections in reducing the tumor load while the treatment is ongoing, although the decrease in tumor load is only temporary. Public Library of Science 2014-03-14 /pmc/articles/PMC3954918/ /pubmed/24633175 http://dx.doi.org/10.1371/journal.pone.0091844 Text en © 2014 Liao et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Liao, Kang-Ling Bai, Xue-Feng Friedman, Avner Mathematical Modeling of Interleukin-27 Induction of Anti-Tumor T Cells Response |
title | Mathematical Modeling of Interleukin-27 Induction of Anti-Tumor T Cells Response |
title_full | Mathematical Modeling of Interleukin-27 Induction of Anti-Tumor T Cells Response |
title_fullStr | Mathematical Modeling of Interleukin-27 Induction of Anti-Tumor T Cells Response |
title_full_unstemmed | Mathematical Modeling of Interleukin-27 Induction of Anti-Tumor T Cells Response |
title_short | Mathematical Modeling of Interleukin-27 Induction of Anti-Tumor T Cells Response |
title_sort | mathematical modeling of interleukin-27 induction of anti-tumor t cells response |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3954918/ https://www.ncbi.nlm.nih.gov/pubmed/24633175 http://dx.doi.org/10.1371/journal.pone.0091844 |
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