Dynamics of tumor immune escape via adaptive change

• Nakada Naoki

  College of Science and Engineering, Aoyama Gakuin University

• Nagata Mizuho

  College of Science and Engineering, Aoyama Gakuin University

• Dong Yueping

  College of Science and Engineering, Aoyama Gakuin University

• Takeuchi Yasuhiro

  College of Science and Engineering, Aoyama Gakuin University

• Nakaoka Shinji

  JST PRESTO Institute of Industrial Science, University of Tokyo

Abstract

Despite of several complementary mechanisms that are inherently equipped with the immune system to eliminate tumor cells, some adaptive change of tumor cells such as down-regulating expression level of Major HistoCompatibility (MHC) class I to evade killing from T cells can be beneficial. Description of complex interactions among tumor and immune cells is useful to understand how some of adaptive change are effective for tumor cells to escape from immunosurveillance. In this paper, we formulate a mathematical model representing tumor killing by two different immune subsets to investigate under what conditions down-regulation of MHC class I expression can be favorable for tumor cells. Mathematical analysis and numerical computation results suggest that tumor cells prefer down-regulation of MHC class I if the killing of tumor cells by T cells is more potent than NK cells. This implication may support empirical observations that tumor escape via down-regulation of MHC class I expression can commonly occur.

Journal

• Nonlinear Theory and Its Applications, IEICE

  Nonlinear Theory and Its Applications, IEICE 9 (2), 295-304, 2018

  The Institute of Electronics, Information and Communication Engineers

Keywords

• mathematical modeling
• tumor immunoescape

Details

• CRID: 1390001205345885952
• NII Article ID: 130006602760
• DOI: 10.1587/nolta.9.295
• ISSN: 21854106
• Web Site: https://www.jstage.jst.go.jp/article/nolta/9/2/9_295/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed