Immuno-kinetics of immunotherapy

dosing with DCs

Authors

  • Emek Köse Department of Mathematics and Computer Science Saint Mary’s College of Maryland, St. Mary’s City, MD, USA Author
  • Sharon Moore Department of Computer Science Baylor University, Waco, TX, USA Author
  • Chinenye Ofodile Department of Mathematics and Computer Science Albany State University, Albany, GA, USA Author
  • Ami Radunskaya Department of Mathematics Pomona College, Claremont, CA, USA Author
  • Ellen R. Swanson Department of Mathematics Centre College, Danville, KY, USA Author
  • Elizabeth Zollinger Department of Mathematics and Computer Science Saint Joseph’s College, Brooklyn, NY, USA Author

DOI:

https://doi.org/10.30707/LiB4.1Kose

Keywords:

Cancer vaccines, Immunotherapy, Dosing schedules, T-cell response

Abstract

Therapeutic vaccines play a large role in the cast of immunotherapies that are now an essential component in most cancer treatment regimes. The complexity of the immune response and the ability of the tumour to mount a counter-offensive to this response have made it difficult to predict who will respond to what treatments, and for clinicians to optimise treatment strategies for individual patients. In this paper, we present a mathematical model that captures the dynamics of the adaptive response to an autologous whole-cell cancer vaccine, without some of the complexities of previous models that incorporate delays. Model simulations are compared to published experimental and clinical data, and used to discuss possible improvements to vaccine design.

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Published

2023-11-22

Issue

Section

Research

How to Cite

Immuno-kinetics of immunotherapy: dosing with DCs. (2023). Letters in Biomathematics, 4(1), 39-58. https://doi.org/10.30707/LiB4.1Kose

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