Investigating Tumour Responses to Combinations of Radiotherapy and Hyperthermia

TL;DR

This study explores how combining radiotherapy with hyperthermia can improve cancer treatment by modeling different tumor growth scenarios.

Contribution

The paper introduces a new model integrating hyperthermia with radiotherapy to predict optimal treatment regimens for different tumor types.

Findings

The model identifies three tumor growth regimes: nutrient limited, space limited, and bistable.

Treatment effectiveness varies significantly depending on the tumor's growth regime.

Combining radiotherapy with hyperthermia can lead to better tumor burden reduction in certain scenarios.

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.

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