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研究肿瘤对放疗与热疗联合治疗的反应。

Investigating Tumour Responses to Combinations of Radiotherapy and Hyperthermia.

作者信息

Colson Chloé, Maini Philip K, Byrne Helen M

机构信息

Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Radcliffe Observatory Quarter, Oxford, OX2 6GG, UK.

Centre for Evolution and Cancer, The Institute of Cancer Research, 15 Cotswold Rd, Sutton, SM2 5NG, UK.

出版信息

Bull Math Biol. 2025 Jul 1;87(8):107. doi: 10.1007/s11538-025-01449-7.

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.

摘要

热疗(HT)是一种有望提高放射治疗(RT)疗效的方法,但其在临床上的应用因对其与放疗相互作用的不完全理解而受到限制。在这项工作中,我们研究了肿瘤对单独高温热疗以及热疗联合放疗的反应,重点关注两种不同的生长控制机制如何影响肿瘤对这些治疗的敏感性。我们扩展了现有的肿瘤生长和放疗反应常微分方程模型,以纳入高温热疗。在未进行治疗的情况下,该模型区分了由于营养不足和空间竞争导致的生长停滞,并呈现出三种生长状态:营养受限(NL)、空间受限(SL)和双稳态(BS),其中两种生长停滞机制共存。我们构建了对应于NL、SL和BS状态的三个虚拟肿瘤群体,并针对每个群体确定能在治疗终点使肿瘤负荷降低最大化的治疗方法(放疗、热疗或放疗 + 热疗)及给药方案。因此,我们生成了可通过实验验证的预测,这些预测可能解释对放疗和热疗高度可变的实验及临床反应,并有助于针对患者的个性化治疗设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe13/12213896/1119d57dc6f1/11538_2025_1449_Fig1_HTML.jpg

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