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Run for Your Life – An Integrated Virtual Tissue Platform for Incorporating Exercise Oncology into Immunotherapy

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Mathematical and Computational Oncology (ISMCO 2021)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 13060))

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Abstract

The purpose of this paper is to introduce a novel in silico platform for simulating early stage solid tumor growth and anti-tumor immune response. We present the model, test the sensitivity and robustness of its parameters, and calibrate it with clinical data from exercise oncology experiments which offer a natural biological backdrop for modulation of anti-tumor immune response. We then perform a virtual experiment with the model that demonstrate its usefulness in guiding pre-clinical and clinical studies of immunotherapy. The virtual experiment shows how dosage and/or frequency of immunotherapy drugs can be optimized based on the aerobic fitness of the patient, so that possible adverse side effects of the treatment can be minimized.

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Author information

Authors and Affiliations

  1. Intelligent Systems Engineering, School of Informatics, Computing and Engineering, Indiana University—Bloomington, Bloomington, IN, 47405, USA

    Josua Aponte-Serrano & Amit Hagar

Authors
  1. Josua Aponte-Serrano
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  2. Amit Hagar
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Corresponding author

Correspondence to Josua Aponte-Serrano .

Editor information

Editors and Affiliations

  1. University of Nevada Reno, Reno, NV, USA

    George Bebis

  2. Scripps Institution of Oceanography, Scripps Genome Center, San Diego, CA, USA

    Terry Gaasterland

  3. National Cancer Center Japan, Tokyo, Japan

    Mamoru Kato

  4. Department of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada

    Mohammad Kohandel

  5. Ryerson University, Toronto, ON, Canada

    Kathleen Wilkie

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Aponte-Serrano, J., Hagar, A. (2021). Run for Your Life – An Integrated Virtual Tissue Platform for Incorporating Exercise Oncology into Immunotherapy. In: Bebis, G., Gaasterland, T., Kato, M., Kohandel, M., Wilkie, K. (eds) Mathematical and Computational Oncology. ISMCO 2021. Lecture Notes in Computer Science(), vol 13060. Springer, Cham. https://doi.org/10.1007/978-3-030-91241-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-91241-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-91240-6

  • Online ISBN: 978-3-030-91241-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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