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静态和动态培养平台中无血管肿瘤生长的三维建模

Three-Dimensional Modeling of Avascular Tumor Growth in Both Static and Dynamic Culture Platforms.

作者信息

Taghibakhshi Ali, Barisam Maryam, Saidi Mohammad Said, Kashaninejad Navid, Nguyen Nam-Trung

机构信息

Department of Mechanical Engineering, Sharif University of Technology, Tehran 11155, Iran.

Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan Campus, 170 Kessels Road, Brisbane, QLD 4111, Australia.

出版信息

Micromachines (Basel). 2019 Aug 31;10(9):580. doi: 10.3390/mi10090580.

Abstract

Microfluidic cell culture platforms are ideal candidates for modeling the native tumor microenvironment because they can precisely reconstruct in vivo cellular behavior. Moreover, mathematical modeling of tumor growth can pave the way toward description and prediction of growth pattern as well as improving cancer treatment. In this study, a modified mathematical model based on concentration distribution is applied to tumor growth in both conventional static culture and dynamic microfluidic cell culture systems. Apoptosis and necrosis mechanisms are considered as the main inhibitory factors in the model, while tumor growth rate and nutrient consumption rate are modified in both quiescent and proliferative zones. We show that such modification can better predict the experimental results of tumor growth reported in the literature. Using numerical simulations, the effects of the concentrations of the nutrients as well as the initial tumor radius on the tumor growth are investigated and discussed. Furthermore, tumor growth is simulated by taking into account the dynamic perfusion into the proposed model. Subsequently, tumor growth kinetics in a three-dimensional (3D) microfluidic device containing a U-shaped barrier is numerically studied. For this case, the effect of the flow rate of culture medium on tumor growth is investigated as well. Finally, to evaluate the impact of the trap geometry on the tumor growth, a comparison is made between the tumor growth kinetics in two frequently used traps in microfluidic cell culture systems, i.e., the U-shaped barrier and microwell structures. The proposed model can provide insight into better predicting the growth and development of avascular tumor in both static and dynamic cell culture platforms.

摘要

微流控细胞培养平台是模拟天然肿瘤微环境的理想选择,因为它们可以精确地重建体内细胞行为。此外,肿瘤生长的数学建模可以为描述和预测生长模式以及改善癌症治疗铺平道路。在本研究中,一种基于浓度分布的改进数学模型被应用于传统静态培养和动态微流控细胞培养系统中的肿瘤生长。凋亡和坏死机制被视为模型中的主要抑制因素,而肿瘤生长速率和营养消耗速率在静止区和增殖区均被修正。我们表明,这种修正能够更好地预测文献中报道的肿瘤生长实验结果。通过数值模拟,研究并讨论了营养物质浓度以及初始肿瘤半径对肿瘤生长的影响。此外,在提出的模型中考虑动态灌注来模拟肿瘤生长。随后,对包含U形屏障的三维(3D)微流控装置中的肿瘤生长动力学进行了数值研究。对于这种情况,还研究了培养基流速对肿瘤生长的影响。最后,为了评估陷阱几何形状对肿瘤生长的影响,对微流控细胞培养系统中两种常用陷阱(即U形屏障和微孔结构)中的肿瘤生长动力学进行了比较。所提出的模型可以为更好地预测静态和动态细胞培养平台中无血管肿瘤的生长和发展提供见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ad9/6780963/0a3784530e06/micromachines-10-00580-g001.jpg

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