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Driving the Biomarker Rational: A Fully Integrated Translational Pharmacology Concept for Focused Drug Development

机译:推动生物标志物理性:一个完全综合的翻译药理学概念,用于重点药物开发

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An enormous amount of data is generated during a drug development process, from pre-clinical experiments to study data from clinical trials, all serving the purpose of finding the mode-of-action, the accompanying biomarker for the targeted drug. The data along the way are multidimensional, from different sources, and spanning various disciplines, thus making it difficult to gather and analyze them in an efficient fashion. 4SC has integrated a translational pharmacology unit, where patient characteristics and internally as well as externally generated data comprising pharmacokinetics, pharmacodynamics and OMICS-based data, are brought together. All these data are stored in a fit-for-purpose designed database, allowing the combination and analysis of complex interaction models, thus supporting the systems biology rational and serving the purpose of streamlining a mode-of-action and biomarker development. The general outline of the database will be shown, along with the systems biology and statistical channels, where the data are turned into scientific context. In order to illustrate this kind of approach, exemplary data from 4SC's HDAC inhibitor Resminostat will be shown, which has been tested in four clinical trials in different cancer indications.
机译:在药物开发过程中产生了大量数据,从临床前实验中研究了来自临床试验的数据,所有这些都是寻找靶向药物的伴随方法的目的。沿途的数据是来自不同来源的多维,以及跨越各种学科,从而难以以有效的方式聚集和分析它们。图4SC已经集成了平移药理学单元,其中患者特征以及内部以及包括药代动力学,药物动力学和基于OMICS的数据的外部产生的数据。所有这些数据存储在适合于目的设计的数据库中,允许复杂交互模型的组合和分析,从而支持系统生物学理性,并提供精简动作模式和生物标志物发育的目的。将显示数据库的一般概要,以及系统生物学和统计渠道,其中数据变成科学上下文。为了说明这种方法,将显示来自4SC的HDAC抑制剂Resmostat的示例性数据,其在不同癌症适应症中的四种临床试验中已经在四种临床试验中进行了测试。

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