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Why one-size-fits-all vaso-modulatory interventions fail to control glioma invasion: in silico insights

机译:为什么一应俱全的血管调节干预措施无法控制神经胶质瘤的入侵:计算机分析

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摘要

Gliomas are highly invasive brain tumours characterised by poor prognosis and limited response to therapy. There is an ongoing debate on the therapeutic potential of vaso-modulatory interventions against glioma invasion. Prominent vasculature-targeting therapies involve tumour blood vessel deterioration and normalisation. The former aims at tumour infarction and nutrient deprivation induced by blood vessel occlusion/collapse. In contrast, the therapeutic intention of normalising the abnormal tumour vasculature is to improve the efficacy of conventional treatment modalities. Although these strategies have shown therapeutic potential, it remains unclear why they both often fail to control glioma growth. To shed some light on this issue, we propose a mathematical model based on the migration/proliferation dichotomy of glioma cells in order to investigate why vaso-modulatory interventions have shown limited success in terms of tumour clearance. We found the existence of a critical cell proliferation/diffusion ratio that separates glioma responses to vaso-modulatory interventions into two distinct regimes. While for tumours, belonging to one regime, vascular modulations reduce the front speed and increase the infiltration width, for those in the other regime, the invasion speed increases and infiltration width decreases. We discuss how these in silico findings can be used to guide individualised vaso-modulatory approaches to improve treatment success rates.
机译:神经胶质瘤是高度侵入性的脑肿瘤,其特征在于预后差并且对治疗的反应有限。关于调节神经胶质瘤侵袭的血管调节疗法的治疗潜力的争论正在进行。突出的靶向血管系统的治疗涉及肿瘤血管的退化和正常化。前者的目标是血管阻塞/塌陷引起的肿瘤梗塞和营养缺乏。相反,使异常肿瘤脉管系统正常化的治疗目的是提高常规治疗方式的功效。尽管这些策略已显示出治疗潜力,但仍不清楚为什么它们都经常无法控制神经胶质瘤的生长。为了阐明这个问题,我们提出了一种基于神经胶质瘤细胞迁移/增殖二分法的数学模型,以研究为什么血管调节干预措施在清除肿瘤方面取得有限的成功。我们发现临界细胞增殖/扩散比率的存在将胶质瘤对血管调节干预的反应分为两个不同的机制。对于属于一种治疗方案的肿瘤,血管调节降低了前移速度并增加了浸润宽度,而对于另一种治疗方案的肿瘤,其血管浸润速度增加且浸润宽度减小。我们讨论了这些计算机诊断的结果如何可用于指导个性化的血管调节方法,以提高治疗成功率。

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