Marcu L G, Marcu D, Filip S M
Faculty of Science, University of Oradea, Oradea, 410087, Romania.
School of Physical Sciences, The University of Adelaide, Adelaide, South Australia, 5005, Australia.
Cell Prolif. 2016 Jun;49(3):304-14. doi: 10.1111/cpr.12251. Epub 2016 Apr 15.
Advanced head and neck carcinomas (HNCs) are aggressive tumours, mainly due to hypoxia and a cancer stem cell (CSC) subpopulation. The aim of this study was to simulate tumour growth and behaviour during radiotherapy of three HNC groups (governed by different growth kinetics, hypoxia levels and CSC division pattern) to determine correlation between resistance factors and responses to hyperfractionated radiotherapy.
An in silico HNC model was developed based on biologically realistic input parameters. During radiotherapy simulation, three parameters were studied: growth kinetics, hypoxia and probability of CSC symmetrical division. Both independent and combined effects on tumour response to hyperfractionated radiotherapy were assessed.
Oxic and very mildly hypoxic HNCs were revealed to be controlled by hyperfractionated radiotherapy, irrespective of growth kinetics and CSC division pattern. Moderately hypoxic tumours had different responses to radiotherapy: while slowly proliferating HNCs were still controllable, tumours with higher cell turnover were more resistant. In rapidly proliferating tumours, the number of fractions needed for tumour control increased exponentially with the probability of CSC symmetrical division, whereas in moderately growing HNC, this behaviour was linear. Severely hypoxic tumours could not be controlled by radiotherapy alone. Tumours with CSCs in a severely hypoxic niche required adjuvant therapies to be eradicated.
Growth kinetics strongly influence tumour responses to treatment. Slowly growing tumours showed linear dependence between dose and hypoxia/CSC, whereas rapidly growing tumours followed exponential behaviour.
晚期头颈癌(HNC)是侵袭性肿瘤,主要归因于缺氧和癌症干细胞(CSC)亚群。本研究的目的是模拟三组头颈癌在放疗期间的肿瘤生长和行为(由不同的生长动力学、缺氧水平和CSC分裂模式控制),以确定耐药因素与超分割放疗反应之间的相关性。
基于生物学现实输入参数建立了一个计算机模拟的头颈癌模型。在放疗模拟过程中,研究了三个参数:生长动力学、缺氧和CSC对称分裂的概率。评估了对超分割放疗的肿瘤反应的独立和联合效应。
无论生长动力学和CSC分裂模式如何,有氧和非常轻度缺氧的头颈癌都可通过超分割放疗得到控制。中度缺氧肿瘤对放疗有不同反应:虽然增殖缓慢的头颈癌仍可控制,但细胞更新率较高的肿瘤更具抗性。在快速增殖的肿瘤中,控制肿瘤所需的分次数量随CSC对称分裂的概率呈指数增加,而在中度生长的头颈癌中,这种行为是线性的。严重缺氧的肿瘤不能仅通过放疗得到控制。在严重缺氧微环境中有CSC的肿瘤需要辅助治疗才能根除。
生长动力学强烈影响肿瘤对治疗的反应。生长缓慢的肿瘤在剂量与缺氧/CSC之间呈线性依赖关系,而快速生长的肿瘤则呈指数行为。