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    Modeling radioimmune response-current status and perspectives

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    Authors
    Friedrich, T.
    Henthorn, Nicholas
    Durante, M.
    Affiliation
    Biophysics Department, GSI Helmholtz Center for Heavy Ion Research, Darmstadt, Germany
    Issue Date
    2021
    
    Metadata
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    Abstract
    The combination of immune therapy with radiation offers an exciting and promising treatment modality in cancer therapy. It has been hypothesized that radiation induces damage signals within the tumor, making it more detectable for the immune system. In combination with inhibiting immune checkpoints an effective anti-tumor immune response may be established. This inversion from tumor immune evasion raises numerous questions to be solved to support an effective clinical implementation: These include the optimum immune drug and radiation dose time courses, the amount of damage and associated doses required to stimulate an immune response, and the impact of lymphocyte status and dynamics. Biophysical modeling can offer unique insights, providing quantitative information addressing these factors and highlighting mechanisms of action. In this work we review the existing modeling approaches of combined 'radioimmune' response, as well as associated fields of study. We propose modeling attempts that appear relevant for an effective and predictive model. We emphasize the importance of the time course of drug and dose delivery in view to the time course of the triggered biological processes. Special attention is also paid to the dose distribution to circulating blood lymphocytes and the effect this has on immune competence.
    Citation
    Friedrich T, Henthorn N, Durante M. Modeling Radioimmune Response-Current Status and Perspectives. Front Oncol. 2021;11:647272.
    Journal
    Frontiers in Oncology
    URI
    http://hdl.handle.net/10541/623921
    DOI
    10.3389/fonc.2021.647272
    PubMed ID
    33796470
    Additional Links
    https://dx.doi.org/10.3389/fonc.2021.647272
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.3389/fonc.2021.647272
    Scopus Count
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