Mathematical modeling of tumor-immune cell interactions

JOURNAL OF THEORETICAL BIOLOGY

卷:469

Review

Mahlbacher, Grace E.¹  Reihmer, Kara C.¹  Frieboes, Hermann B.^1,2,3 

[1] Univ Louisville, Dept Bioengn, Louisville, KY 40292 USA

[2] Univ Louisville, James Graham Brown Canc Ctr, Louisville, KY 40292 USA

[3] Univ Louisville, Dept Pharmacol & Toxicol, Louisville, KY 40292 USA

关键词: Cancer;    Tumor growth;    Immune system;    Cancer immunology;    Cancer immunotherapy;    Onco-immunotherapy;    Mathematical modeling;    Computational simulation;   

DOI  :  10.1016/j.jtbi.2019.03.002

来源: Elsevier

【 摘 要 】

The anti-tumor activity of the immune system is increasingly recognized as critical for the mounting of a prolonged and effective response to cancer growth and invasion, and for preventing recurrence following resection or treatment. As the knowledge of tumor-immune cell interactions has advanced, experimental investigation has been complemented by mathematical modeling with the goal to quantify and predict these interactions. This succinct review offers an overview of recent tumor-immune continuum modeling approaches, highlighting spatial models. The focus is on work published in the past decade, incorporating one or more immune cell types and evaluating immune cell effects on tumor progression. Due to their relevance to cancer, the following immune cells and their combinations are described: macrophages, Cytotoxic T Lymphocytes, Natural Killer cells, dendritic cells, T regulatory cells, and CD4(+) T helper cells. Although important insight has been gained from a mathematical modeling perspective, the development of models incorporating patient-specific data remains an important goal yet to be realized for potential clinical benefit. (C) 2019 Elsevier Ltd. All rights reserved.

【 授权许可】

Free