Literature DB >> 20450922

Modeling anti-tumor Th1 and Th2 immunity in the rejection of melanoma.

Raluca Eftimie1, Jonathan L Bramson, David J D Earn.   

Abstract

Recent experiments indicate that CD4(+) Th2 cells can reject skin tumors in mice, while CD4(+) Th1 cells cannot (Mattes et al., 2003; Zhang et al., 2009). These results are surprising because CD4(+) Th1 cells are typically considered to be capable of tumor rejection. We used mathematical models to investigate this unexpected outcome. We found that neither CD4(+) Th1 nor CD4(+) Th2 cells could eliminate the cancer cells when acting alone, but that tumor elimination could be induced by recruitment of eosinophils by the Th2 cells. These recruited eosinophils had unexpected indirect effects on the decay rate of type 2 cytokines and the rate at which Th2 cells are inactivated through interactions with cancer cells. Strikingly, the presence of eosinophils impacted tumor growth more significantly than the release of tumor-suppressing cytokines such as IFN-gamma and TNF-alpha. Our simulations suggest that novel strategies to enhance eosinophil recruitment into skin tumors may improve cancer immunotherapies. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20450922     DOI: 10.1016/j.jtbi.2010.04.030

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


  12 in total

1.  A dynamic model of the immune response to the onset of a tumor.

Authors:  M Ya Antonovsky; M D Korzukhin
Journal:  Dokl Biochem Biophys       Date:  2013-08-23       Impact factor: 0.788

Review 2.  Hyperbolic and kinetic models for self-organized biological aggregations and movement: a brief review.

Authors:  Raluca Eftimie
Journal:  J Math Biol       Date:  2011-07-01       Impact factor: 2.259

3.  IL-33 restricts tumor growth and inhibits pulmonary metastasis in melanoma-bearing mice through eosinophils.

Authors:  Valeria Lucarini; Giovanna Ziccheddu; Iole Macchia; Valentina La Sorsa; Francesca Peschiaroli; Carla Buccione; Antonella Sistigu; Massimo Sanchez; Sara Andreone; Maria Teresa D'Urso; Massimo Spada; Daniele Macchia; Claudia Afferni; Fabrizio Mattei; Giovanna Schiavoni
Journal:  Oncoimmunology       Date:  2017-04-20       Impact factor: 8.110

4.  Indoleamine 2,3-dioxygenase and survivin peptide vaccine combined with temozolomide in metastatic melanoma.

Authors:  Nikolaj Juul Nitschke; Jon Bjoern; Trine Zeeberg Iversen; Mads Hald Andersen; Inge Marie Svane
Journal:  Stem Cell Investig       Date:  2017-09-21

5.  Competition for antigen between Th1 and Th2 responses determines the timing of the immune response switch during Mycobaterium avium subspecies paratuberulosis infection in ruminants.

Authors:  Gesham Magombedze; Shigetoshi Eda; Vitaly V Ganusov
Journal:  PLoS Comput Biol       Date:  2014-01-09       Impact factor: 4.475

Review 6.  Computational modeling of heterogeneity and function of CD4+ T cells.

Authors:  Adria Carbo; Raquel Hontecillas; Tricity Andrew; Kristin Eden; Yongguo Mei; Stefan Hoops; Josep Bassaganya-Riera
Journal:  Front Cell Dev Biol       Date:  2014-07-29

7.  Periodically Pulsed Immunotherapy in a Mathematical Model of Tumor, CD4+ T Cells, and Antitumor Cytokine Interactions.

Authors:  Hsiu-Chuan Wei; Jui-Ling Yu; Chia-Yu Hsu
Journal:  Comput Math Methods Med       Date:  2017-11-09       Impact factor: 2.238

8.  Cellular and population plasticity of helper CD4(+) T cell responses.

Authors:  Gesham Magombedze; Pradeep B J Reddy; Shigetoshi Eda; Vitaly V Ganusov
Journal:  Front Physiol       Date:  2013-08-16       Impact factor: 4.566

Review 9.  Mathematical Models for Immunology: Current State of the Art and Future Research Directions.

Authors:  Raluca Eftimie; Joseph J Gillard; Doreen A Cantrell
Journal:  Bull Math Biol       Date:  2016-10-06       Impact factor: 1.758

10.  Mathematical Modelling for the Role of CD4+T Cells in Tumor-Immune Interactions.

Authors:  Ahmed M Makhlouf; Lamiaa El-Shennawy; Hesham A Elkaranshawy
Journal:  Comput Math Methods Med       Date:  2020-02-19       Impact factor: 2.238

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