ITM Web of Conferences
Volume 5, 2015Workshop on Multiscale and Hybrid Modelling in Cell and Cell Population Biology
|Number of page(s)||4|
|Published online||11 December 2015|
Competition between cancer cells and T cells under immunotherapy: a structured population approach
1 Department of Mathematical Sciences, Politecnico di Torino, Italy
2 Centre de Mathématiques et de Leurs Applications, ENS Cachan, Cachan Cedex, France & INRIA-Paris-Rocquencourt, MAMBA Team, Le Chesnay Cedex, France
3 Department of Health Sciences, A. Avogadro Università del Piemonte Orientale, Novara, Italy
a e-mail: firstname.lastname@example.org
b e-mail: email@example.com
c e-mail: firstname.lastname@example.org
T cells are key players in the immune action against the invasion of cancer cells. During an immune response, antigen-specific T cells dynamically sculpt the antigenic distribution of cancer cells, and cancer cells concurrently shape the repertoire of antigen-specific T cells. The succession of these reciprocal selective sweeps can result in “chase-and-escape” dynamics, and lead to immune evasion. It has been proposed that immune evasion can be countered by immunotherapy strategies aimed at regulating the immune response. In this work, we present a mathematical model of the competition between cancer cells and T cells under immunotherapy. We show that effective immunotherapy protocols can be designed by using therapeutic agents that boost T-cell proliferation in combination with boosters of immune memory.
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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