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探讨生长抑制机制对肿瘤放疗反应的影响。

Investigating the Influence of Growth Arrest Mechanisms on Tumour Responses to Radiotherapy.

机构信息

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

Ludwig Institute for Cancer Research, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7DQ, UK.

出版信息

Bull Math Biol. 2023 Jun 28;85(8):74. doi: 10.1007/s11538-023-01171-2.

Abstract

Cancer is a heterogeneous disease and tumours of the same type can differ greatly at the genetic and phenotypic levels. Understanding how these differences impact sensitivity to treatment is an essential step towards patient-specific treatment design. In this paper, we investigate how two different mechanisms for growth control may affect tumour cell responses to fractionated radiotherapy (RT) by extending an existing ordinary differential equation model of tumour growth. 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, space limited (SL) and bistable (BS), where both mechanisms for growth arrest coexist. We study the effect of RT for tumours in each regime, finding that tumours in the SL regime typically respond best to RT, while tumours in the BS regime typically respond worst to RT. For tumours in each regime, we also identify the biological processes that may explain positive and negative treatment outcomes and the dosing regimen which maximises the reduction in tumour burden.

摘要

癌症是一种异质性疾病,同一类型的肿瘤在遗传和表型水平上可能存在很大差异。了解这些差异如何影响对治疗的敏感性是实现针对患者的治疗设计的重要步骤。在本文中,我们通过扩展现有的肿瘤生长的常微分方程模型来研究两种不同的生长控制机制如何影响肿瘤细胞对分割放疗(RT)的反应。在没有治疗的情况下,该模型区分了由于营养不足和空间竞争导致的生长停滞,并表现出三种生长状态:营养有限、空间有限(SL)和双稳态(BS),其中两种生长停滞机制共存。我们研究了 RT 对每个状态下肿瘤的影响,发现 SL 状态下的肿瘤通常对 RT 反应最好,而 BS 状态下的肿瘤通常对 RT 反应最差。对于每个状态下的肿瘤,我们还确定了可能解释治疗结果好坏的生物学过程以及最大限度减少肿瘤负担的剂量方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/435f/10307743/59bdabf9b8ed/11538_2023_1171_Fig1_HTML.jpg

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