Investigating Tumour Responses to Combinations of Radiotherapy and Hyperthermia.

Chloé Colson, Philip K Maini, Helen M Byrne

Journal: Bulletin of mathematical biology 2025;87(8):107

PMID: 40593385

Abstract

Hyperthermia (HT) is a promising candidate for enhancing the efficacy of radiotherapy (RT), but its use in the clinic has been limited by incomplete understanding of its interactions with RT. In this work, we investigate tumour responses to high temperature HT alone and combined with RT, focussing on how two different mechanisms for growth control may impact tumour sensitivity to these treatments. We extend an existing ordinary differential equation model of tumour growth and RT response to include high HT. In the absence of treatment, this model distinguishes between growth arrest due to nutrient insufficiency and competition for space, and exhibits three growth regimes: nutrient limited (NL), space limited (SL) and bistable (BS), where both mechanisms for growth arrest coexist. We construct three virtual tumour populations corresponding to the NL, SL and BS regimes and, for each population, we identify the treatment (RT, HT or RT + HT) and dosing regimen that maximise the reduction in tumour burden at the treatment end-point. We thus generate experimentally testable predictions that may explain highly variable experimental and clinical responses to RT and HT and assist patient-specific treatment design.

© 2025. The Author(s).

Address: Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Radcliffe Observatory Quarter, Oxford, OX2 6GG, UK. [email protected].; Centre for Evolution and Cancer, The Institute of Cancer Research, 15 Cotswold Rd, Sutton, SM2 5NG, UK. [email protected].; Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Radcliffe Observatory Quarter, Oxford, OX2 6GG, UK.; Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Radcliffe Observatory Quarter, Oxford, OX2 6GG, UK.; Nuffield Department of Medicine, Ludwig Institute for Cancer Research, University of Oxford, Roosevelt Drive, Oxford, OX3 7DQ, UK.

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