Using systemic modeling and Bayesian calibration to investigate the role of the tumor microenvironment on chemoresistance

Sabrina Schönfeld, Laura Scarabosio, Alican Ozkan, Marissa Nichole Rylander, Christina Kuttler
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Abstract

Using a novel modeling approach based on the so-called environmental stress level (ESL), we develop a mathematical model to describe systematically the collective influence of oxygen concentration and stiffness of the extracellular matrix on the response of tumor cells to a combined chemotherapeutic treatment. We perform Bayesian calibrations of the resulting model using particle filters, with in vitro experimental data for different hepatocellular carcinoma cell lines. The calibration results support the validity of our mathematical model. Furthermore, they shed light on individual as well as synergistic effects of hypoxia and tissue stiffness on tumor cell dynamics under chemotherapy.
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利用系统建模和贝叶斯校准研究肿瘤微环境在化疗耐药中的作用
使用一种基于所谓的环境压力水平(ESL)的新颖建模方法,我们开发了一个数学模型来系统地描述氧浓度和细胞外基质刚度对肿瘤细胞对联合化疗治疗反应的集体影响。我们使用粒子过滤器对所得模型进行贝叶斯校准,并使用不同肝癌细胞系的体外实验数据。标定结果支持了数学模型的有效性。此外,它们揭示了缺氧和组织僵硬对化疗下肿瘤细胞动力学的个体和协同作用。
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