个体化医学和肿瘤学自动筛选系统发展的现状和问题

E. Petersen, R. Gorbachev, E. Skorova, I. Volkov
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引用次数: 0

摘要

尽管肿瘤问题是研究最活跃的问题之一,但肿瘤对治疗的耐药性问题目前仍然非常重要。目前,还没有经过验证的模型,而已知的系统通常侧重于检测少数特定条件-要么评估气体介质的组成,湿度和温度,要么评估生物反应器流动营养介质中的溶解气体和pH值,要么评估细胞内氧的含量。这些系统缺乏对3D系统动态参数的跟踪和操作这些系统的能力,包括决策模块。为了验证先进的细胞肿瘤模型,人们需要一种比现代商业模型更有优势的设备,该系统必须在无菌工作,自主性,成本效益,实验和显微镜适用性方面更好。基于几种类型的物理、化学和生物传感器,新一代筛选系统将使人们能够在可预见的未来揭示肿瘤细胞的功能活性以及对细胞外基质变化的依赖性,细胞在生长、迁移、转化和治疗反应过程中的代谢活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
State-of-the-Art and Problems in Development of Automated Screening Systems in Personalized Medicine and Oncology
Despite the fact that oncology issues are among the most actively studied, the problem of tumor resistance to the therapy remains very relevant at the moment. Currently, there are no validated models while known systems are generally focused on detecting few particular conditions - either to assess the composition of the gaseous medium, humidity and temperature, or to assess the dissolved gases and pH in the flowing nutrient medium of bioreactors, or to assess the content of intracellular oxygen. These systems lack tracking of the dynamic parameters of 3D systems and the ability to operate such systems, including decision-making modules. To validate advanced cellular tumor models, one needs a device that should have advantages over modern commercially available models, this system has to be better in terms of sterile work, autonomy, cost-effectiveness, applicability for experiments and microscopy. Based on several types of physical, chemical and biological sensors, the new generation screening system will allow one to reveal in the foreseeable future additional indicators of the functional activity of tumor cells and dependence on changes in the extracellular matrix, metabolic activity of cells during their growth, migration, transformation and response to therapy on the basis of personalized 3D cellular tumor model.
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