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Modeling Radioimmune Response - Current Status and Perspectives

Friedrich, Thomas ; Henthorn, Nicholas ; Durante, Marco (2024)
Modeling Radioimmune Response - Current Status and Perspectives.
In: Frontiers in Oncology, 2021, 11
doi: 10.26083/tuprints-00019589
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2024
Autor(en): Friedrich, Thomas ; Henthorn, Nicholas ; Durante, Marco
Art des Eintrags: Zweitveröffentlichung
Titel: Modeling Radioimmune Response - Current Status and Perspectives
Sprache: Englisch
Publikationsjahr: 12 März 2024
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 16 März 2021
Ort der Erstveröffentlichung: Lausanne
Verlag: Frontiers Media S.A.
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Frontiers in Oncology
Jahrgang/Volume einer Zeitschrift: 11
Kollation: 11 Seiten
DOI: 10.26083/tuprints-00019589
URL / URN: https://tuprints.ulb.tu-darmstadt.de/19589
Zugehörige Links:
Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (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.

Freie Schlagworte: radiation immunity, immunotherapy, radiation therapy, modeling, radiation effect
ID-Nummer: Artikel-ID: 647272
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-195892
Zusätzliche Informationen:

This article is part of the Research Topic: Radiochemotherapy in Multimodal Cancer Therapy

Specialty section: This article was submitted to Cancer Immunity and Immunotherapy, a section of the journal Frontiers in Oncology

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 500 Naturwissenschaften und Mathematik > 530 Physik
600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin, Gesundheit
Fachbereich(e)/-gebiet(e): 05 Fachbereich Physik
05 Fachbereich Physik > Institut für Physik Kondensierter Materie (IPKM)
Hinterlegungsdatum: 12 Mär 2024 13:20
Letzte Änderung: 14 Mär 2024 14:11
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