TY - JOUR
T1 - On the Immunological Consequences of Conventionally Fractionated Radiotherapy
AU - Alfonso, Juan Carlos L.
AU - Papaxenopoulou, Lito A.
AU - Mascheroni, Pietro
AU - Meyer-Hermann, Michael
AU - Hatzikirou, Haralampos
N1 - Funding Information:
JCLA, HH, PM and MMH would like to thank the support of the Helmholtz Association of German Research Centers - Initiative and Networking Fund for the project on Reduced Complexity Models 421 ( ZT-I-0010 ). HH would also like to thank the funding support from VolkswagenStiftung ( 96732 ). HH, PM and LP are also funded by the BMBF projects MicMode-I2T ( 01ZX1710B ) and MulticellML ( 01ZX1707C ). MMH was in parts supported by the German Federal Ministry of Education and Research within the framework of the e:Med research and funding concept (SysStomach (FKZ: 01ZX1610C )).
Publisher Copyright:
© 2020 The Authors
PY - 2020/3/27
Y1 - 2020/3/27
N2 - Emerging evidence demonstrates that radiotherapy induces immunogenic death on tumor cells that emit immunostimulating signals resulting in tumor-specific immune responses. However, the impact of tumor features and microenvironmental factors on the efficacy of radiation-induced immunity remains to be elucidated. Herein, we use a calibrated model of tumor-effector cell interactions to investigate the potential benefits and immunological consequences of radiotherapy. Simulations analysis suggests that radiotherapy success depends on the functional tumor vascularity extent and reveals that the pre-treatment tumor size is not a consistent determinant of treatment outcomes. The one-size-fits-all approach of conventionally fractionated radiotherapy is predicted to result in some overtreated patients. In addition, model simulations also suggest that an arbitrary increase in treatment duration does not necessarily result in better tumor control. This study highlights the potential benefits of tumor-immune ecosystem profiling during treatment planning to better harness the immunogenic potential of radiotherapy.
AB - Emerging evidence demonstrates that radiotherapy induces immunogenic death on tumor cells that emit immunostimulating signals resulting in tumor-specific immune responses. However, the impact of tumor features and microenvironmental factors on the efficacy of radiation-induced immunity remains to be elucidated. Herein, we use a calibrated model of tumor-effector cell interactions to investigate the potential benefits and immunological consequences of radiotherapy. Simulations analysis suggests that radiotherapy success depends on the functional tumor vascularity extent and reveals that the pre-treatment tumor size is not a consistent determinant of treatment outcomes. The one-size-fits-all approach of conventionally fractionated radiotherapy is predicted to result in some overtreated patients. In addition, model simulations also suggest that an arbitrary increase in treatment duration does not necessarily result in better tumor control. This study highlights the potential benefits of tumor-immune ecosystem profiling during treatment planning to better harness the immunogenic potential of radiotherapy.
KW - Bioinformatics
KW - Cancer
KW - Mathematical Biosciences
UR - http://www.scopus.com/inward/record.url?scp=85079602134&partnerID=8YFLogxK
U2 - 10.1016/j.isci.2020.100897
DO - 10.1016/j.isci.2020.100897
M3 - Article
AN - SCOPUS:85079602134
SN - 2589-0042
VL - 23
JO - iScience
JF - iScience
IS - 3
M1 - 100897
ER -