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Mathematical modeling of tumor-associated macrophage interactions with the cancer microenvironment

BACKGROUND: Immuno-oncotherapy has emerged as a promising means to target cancer. In particular, therapeutic manipulation of tumor-associated macrophages holds promise due to their various and sometimes opposing roles in tumor progression. It is established that M1-type macrophages suppress tumor pr...

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Autores principales: Mahlbacher, Grace, Curtis, Louis T., Lowengrub, John, Frieboes, Hermann B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5791333/
https://www.ncbi.nlm.nih.gov/pubmed/29382395
http://dx.doi.org/10.1186/s40425-017-0313-7
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author Mahlbacher, Grace
Curtis, Louis T.
Lowengrub, John
Frieboes, Hermann B.
author_facet Mahlbacher, Grace
Curtis, Louis T.
Lowengrub, John
Frieboes, Hermann B.
author_sort Mahlbacher, Grace
collection PubMed
description BACKGROUND: Immuno-oncotherapy has emerged as a promising means to target cancer. In particular, therapeutic manipulation of tumor-associated macrophages holds promise due to their various and sometimes opposing roles in tumor progression. It is established that M1-type macrophages suppress tumor progression while M2-types support it. Recently, Tie2-expressing macrophages (TEM) have been identified as a distinct sub-population influencing tumor angiogenesis and vascular remodeling as well as monocyte differentiation. METHODS: This study develops a modeling framework to evaluate macrophage interactions with the tumor microenvironment, enabling assessment of how these interactions may affect tumor progression. M1, M2, and Tie2 expressing variants are integrated into a model of tumor growth representing a metastatic lesion in a highly vascularized organ, such as the liver. Behaviors simulated include M1 release of nitric oxide (NO), M2 release of growth-promoting factors, and TEM facilitation of angiogenesis via Angiopoietin-2 and promotion of monocyte differentiation into M2 via IL-10. RESULTS: The results show that M2 presence leads to larger tumor growth regardless of TEM effects, implying that immunotherapeutic strategies that lead to TEM ablation may fail to restrain growth when the M2 represents a sizeable population. As TEM pro-tumor effects are less pronounced and on a longer time scale than M1-driven tumor inhibition, a more nuanced approach to influence monocyte differentiation taking into account the tumor state (e.g., under chemotherapy) may be desirable. CONCLUSIONS: The results highlight the dynamic interaction of macrophages within a growing tumor, and, further, establish the initial feasibility of a mathematical framework that could longer term help to optimize cancer immunotherapy.
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spelling pubmed-57913332018-02-08 Mathematical modeling of tumor-associated macrophage interactions with the cancer microenvironment Mahlbacher, Grace Curtis, Louis T. Lowengrub, John Frieboes, Hermann B. J Immunother Cancer Research Article BACKGROUND: Immuno-oncotherapy has emerged as a promising means to target cancer. In particular, therapeutic manipulation of tumor-associated macrophages holds promise due to their various and sometimes opposing roles in tumor progression. It is established that M1-type macrophages suppress tumor progression while M2-types support it. Recently, Tie2-expressing macrophages (TEM) have been identified as a distinct sub-population influencing tumor angiogenesis and vascular remodeling as well as monocyte differentiation. METHODS: This study develops a modeling framework to evaluate macrophage interactions with the tumor microenvironment, enabling assessment of how these interactions may affect tumor progression. M1, M2, and Tie2 expressing variants are integrated into a model of tumor growth representing a metastatic lesion in a highly vascularized organ, such as the liver. Behaviors simulated include M1 release of nitric oxide (NO), M2 release of growth-promoting factors, and TEM facilitation of angiogenesis via Angiopoietin-2 and promotion of monocyte differentiation into M2 via IL-10. RESULTS: The results show that M2 presence leads to larger tumor growth regardless of TEM effects, implying that immunotherapeutic strategies that lead to TEM ablation may fail to restrain growth when the M2 represents a sizeable population. As TEM pro-tumor effects are less pronounced and on a longer time scale than M1-driven tumor inhibition, a more nuanced approach to influence monocyte differentiation taking into account the tumor state (e.g., under chemotherapy) may be desirable. CONCLUSIONS: The results highlight the dynamic interaction of macrophages within a growing tumor, and, further, establish the initial feasibility of a mathematical framework that could longer term help to optimize cancer immunotherapy. BioMed Central 2018-01-30 /pmc/articles/PMC5791333/ /pubmed/29382395 http://dx.doi.org/10.1186/s40425-017-0313-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Mahlbacher, Grace
Curtis, Louis T.
Lowengrub, John
Frieboes, Hermann B.
Mathematical modeling of tumor-associated macrophage interactions with the cancer microenvironment
title Mathematical modeling of tumor-associated macrophage interactions with the cancer microenvironment
title_full Mathematical modeling of tumor-associated macrophage interactions with the cancer microenvironment
title_fullStr Mathematical modeling of tumor-associated macrophage interactions with the cancer microenvironment
title_full_unstemmed Mathematical modeling of tumor-associated macrophage interactions with the cancer microenvironment
title_short Mathematical modeling of tumor-associated macrophage interactions with the cancer microenvironment
title_sort mathematical modeling of tumor-associated macrophage interactions with the cancer microenvironment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5791333/
https://www.ncbi.nlm.nih.gov/pubmed/29382395
http://dx.doi.org/10.1186/s40425-017-0313-7
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