Literature DB >> 26551154

The re-polarisation of M2 and M1 macrophages and its role on cancer outcomes.

Nicoline Y den Breems1, Raluca Eftimie2.   

Abstract

The anti-tumour and pro-tumour roles of Th1/Th2 immune cells and M1/M2 macrophages have been documented by numerous experimental studies. However, it is still unknown how these immune cells interact with each other to control tumour dynamics. Here, we use a mathematical model for the interactions between mouse melanoma cells, Th2/Th1 cells and M2/M1 macrophages, to investigate the unknown role of the re-polarisation between M1 and M2 macrophages on tumour growth. The results show that tumour growth is associated with a type-II immune response described by large numbers of Th2 and M2 cells. Moreover, we show that (i) the ratio k of the transition rates k12 (for the re-polarisation M1→M2) and k21 (for the re-polarisation M2→M1) is important in reducing tumour population, and (ii) the particular values of these transition rates control the delay in tumour growth and the final tumour size. We also perform a sensitivity analysis to investigate the effect of various model parameters on changes in the tumour cell population, and confirm that the ratio k alone and the ratio of M2 and M1 macrophage populations at earlier times (e.g., day 7) cannot always predict the final tumour size.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer modelling; M1 and M2 macrophages; MSC: 92C50; Th1 and Th2 immune cells

Mesh:

Year:  2015        PMID: 26551154     DOI: 10.1016/j.jtbi.2015.10.034

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  15 in total

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Review 2.  Mathematical modeling of tumor-immune cell interactions.

Authors:  Grace E Mahlbacher; Kara C Reihmer; Hermann B Frieboes
Journal:  J Theor Biol       Date:  2019-03-02       Impact factor: 2.691

3.  Modeling the Dichotomy of the Immune Response to Cancer: Cytotoxic Effects and Tumor-Promoting Inflammation.

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Journal:  Bull Math Biol       Date:  2017-06-05       Impact factor: 1.758

4.  Modeling Macrophage Polarization and Its Effect on Cancer Treatment Success.

Authors:  Valentin Morales; Luis Soto-Ortiz
Journal:  Open J Immunol       Date:  2018-06-29

Review 5.  Pro-tumor activities of macrophages in the progression of melanoma.

Authors:  Huafeng Wang; Luhong Yang; Dong Wang; Qi Zhang; Lijuan Zhang
Journal:  Hum Vaccin Immunother       Date:  2017-04-25       Impact factor: 3.452

Review 6.  Role of Tumor-Associated Myeloid Cells in Breast Cancer.

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Journal:  Cells       Date:  2020-07-27       Impact factor: 6.600

7.  Non-local Parabolic and Hyperbolic Models for Cell Polarisation in Heterogeneous Cancer Cell Populations.

Authors:  Vasiliki Bitsouni; Raluca Eftimie
Journal:  Bull Math Biol       Date:  2018-08-22       Impact factor: 1.758

8.  Coculture with monocytes/macrophages modulates osteogenic differentiation of adipose-derived mesenchymal stromal cells on poly(lactic-co-glycolic) acid/polycaprolactone scaffolds.

Authors:  Hongbo Tang; Johanna F A Husch; Yang Zhang; John A Jansen; Fang Yang; Jeroen J J P van den Beucken
Journal:  J Tissue Eng Regen Med       Date:  2019-04-05       Impact factor: 3.963

9.  CD86⁺/CD206⁺, Diametrically Polarized Tumor-Associated Macrophages, Predict Hepatocellular Carcinoma Patient Prognosis.

Authors:  Pingping Dong; Lijie Ma; Longzi Liu; Guangxi Zhao; Si Zhang; Ling Dong; Ruyi Xue; She Chen
Journal:  Int J Mol Sci       Date:  2016-03-01       Impact factor: 5.923

Review 10.  Computational models of melanoma.

Authors:  Marco Albrecht; Philippe Lucarelli; Dagmar Kulms; Thomas Sauter
Journal:  Theor Biol Med Model       Date:  2020-05-14       Impact factor: 2.432

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