Berlin 2024 – wissenschaftliches Programm
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BP: Fachverband Biologische Physik
BP 4: Computational Biophysics I
BP 4.1: Vortrag
Montag, 18. März 2024, 15:00–15:15, H 0112
Efficient radial-shell model for 3D tumor spheroid dynamics with radiotherapy — •Florian Franke1, Soňa Michlíková2,3, Sebastian Aland1,4,5, Leoni A. Kunz-Schughart2,6, Anja Voss- Böhme1, and Steffen Lange1,2 — 1HTW Dresden - University of Applied Sciences — 2OncoRay, Natl. Center for Radiation Research in Oncology, TU Dresden — 3Helmholtz-Zentrum Dresden - Rossendorf, Germany — 4TU Bergakademie Freiberg — 5Center for Systems Biology, Dresden — 6Natl. Center for Tumor Diseases, Dresden, Germany
Approximately 50% of patients diagnosed with cancer receive radiotherapy at least once during their disease. Experiments with sophisticated in-cellulo assays to improve radiotherapeutic outcomes are still challenging, and some critical details of tumor cell dynamics still need to be explored. To enhance the informative value of such approaches and support future therapeutic study designs, we developed an efficient mathematical model for three-dimensional multicellular tumor spheroids, which reflect microregions within a large tumor or avascular micrometastases and which are an auspicious experimental framework to pre-assess the curative effect of radio(chemo)therapy. We validate our mathematical model using experimental tumor spheroid growth data of several cell lines with and without radiotherapy and observe equal or better performance than previous models. Moreover, our model allows for efficient parameter calibration within previously reported and/or physiologically reasonable ranges. Based on this data-driven approach, we can explain the mechanism of the characteristic dynamics at small tumor volumes.
Keywords: spatio-temporal mathematical modelling; tumor spheroids; radiation therapy; 3D cellular automaton; efficient simulation