Targeting CD4+ T cell Exhaustion to Improve Future Immunotherapy Strategies

Bull Math Biol. 2024 Dec 2;87(1):10. doi: 10.1007/s11538-024-01389-8.

Abstract

As of late, reinvigoration of exhausted T cells as a form of immunotherapy against cancer has been a promising strategy. However, inconsistent results highlight the uncertainties in the current understanding of cellular exhaustion and the need for research and better treatment design. In our previous work, we utilized mathematical modeling and analysis to recapitulate and complement the biological understanding of exhaustion in response to growing tumors. The results of this work recognized that the population size of progenitor exhausted CD8+ T cells played a larger factor in tumor control compared to cytotoxic abilities. From this notion, it was theorized that exhaustion in CD4+ T cells, which are known to help coordinate and promote the size of the CD8+ T cell response, would be a significant component of tumor control. To test this theory, this paper expands on the previous mathematical framework by incorporating CD4+ T cells and the exhaustion they face in response to tumoral settings. Analysis of this model supports our theory, indicating that targeting CD4+ T cell exhaustion would have a potentially large impact on tumor burden and should be investigated along with current immunotherapy strategies of exhausted CD8+ T cell reinvigoration. Ultimately, this work narrows the scope of future research, providing a potential target for improved therapeutic efforts.

Keywords: Exhaustion; Immunosuppression; Immunotherapy; Plasticity; Proliferation; Stalemate.

MeSH terms

  • Animals
  • CD4-Positive T-Lymphocytes* / immunology
  • CD8-Positive T-Lymphocytes* / immunology
  • Computer Simulation
  • Humans
  • Immunotherapy* / methods
  • Mathematical Concepts*
  • Models, Immunological*
  • Neoplasms* / immunology
  • Neoplasms* / therapy
  • T-Cell Exhaustion
  • Tumor Burden / immunology
  • Tumor Microenvironment / immunology