TY - JOUR
T1 - A minimal modeling framework of radiation and immune system synergy to assist radiotherapy planning
AU - Montaseri, Ghazal
AU - Alfonso, Juan Carlos López
AU - Hatzikirou, Haralampos
AU - Meyer-Hermann, Michael
N1 - Funding Information:
JCLA, HH and MMH gratefully acknowledge the funding support of the Helmholtz Association of German Research Centers - Initiative and Networking Fund for the project on Reduced Complexity Models (ZT-I-0010). GM, JCLA, HH and MMH are also supported by the Systems Medicine project SYSIMIT (01ZX1308D) of the Federal Ministry of Education and Research (BMBF). MMH is additionally supported by the BMBF project Sys-Stomach (01ZX1310C), and the iMed – the Helmholtz Initiative on Personalized Medicine. HH is also funded by the BMBF projects MicMode-I2T (01ZX1710B) and MulticellML (01ZX1707C), as well as by the project SYSMIFTA (031L0085B) of the ERACOSYSMED initiative.
Publisher Copyright:
© 2019
PY - 2020/2/7
Y1 - 2020/2/7
N2 - Recent evidence indicates the ability of radiotherapy to induce local and systemic tumor-specific immune responses as a result of immunogenic cell death. However, fractionation regimes routinely used in clinical practice typically ignore the synergy between radiation and the immune system, and instead attempt to completely eradicate tumors by the direct lethal effect of radiation on cancer cells. This paradigm is expected to change in the near future due to the potential benefits of considering radiation-induced antitumor immunity during treatment planning. Towards this goal, we propose a minimal modeling framework based on key aspects of the tumor-immune system interplay to simulate the effects of radiation on tumors and the immunological consequences of radiotherapy. The impacts of tumor-associated vasculature and intratumoral oxygen-mediated heterogeneity on treatment outcomes are ininvestigated. The model provides estimates of the minimum radiation doses required for tumor eradication given a certain number of treatment fractions. Moreover, estimates of treatment duration for disease control given predetermined fractional radiation doses can be also obtained. Although theoretical in nature, this study motivates the development and establishment of immune-based decision-support tools in radiotherapy planning.
AB - Recent evidence indicates the ability of radiotherapy to induce local and systemic tumor-specific immune responses as a result of immunogenic cell death. However, fractionation regimes routinely used in clinical practice typically ignore the synergy between radiation and the immune system, and instead attempt to completely eradicate tumors by the direct lethal effect of radiation on cancer cells. This paradigm is expected to change in the near future due to the potential benefits of considering radiation-induced antitumor immunity during treatment planning. Towards this goal, we propose a minimal modeling framework based on key aspects of the tumor-immune system interplay to simulate the effects of radiation on tumors and the immunological consequences of radiotherapy. The impacts of tumor-associated vasculature and intratumoral oxygen-mediated heterogeneity on treatment outcomes are ininvestigated. The model provides estimates of the minimum radiation doses required for tumor eradication given a certain number of treatment fractions. Moreover, estimates of treatment duration for disease control given predetermined fractional radiation doses can be also obtained. Although theoretical in nature, this study motivates the development and establishment of immune-based decision-support tools in radiotherapy planning.
UR - http://www.scopus.com/inward/record.url?scp=85076058079&partnerID=8YFLogxK
U2 - 10.1016/j.jtbi.2019.110099
DO - 10.1016/j.jtbi.2019.110099
M3 - Article
C2 - 31790681
AN - SCOPUS:85076058079
SN - 0022-5193
VL - 486
JO - Journal of Theoretical Biology
JF - Journal of Theoretical Biology
M1 - 110099
ER -