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建立从分子实验到临床试验的知识轨迹。

Establishing a knowledge trail from molecular experiments to clinical trials.

机构信息

UCL Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6BT, UK.

出版信息

N Biotechnol. 2011 Sep;28(5):464-80. doi: 10.1016/j.nbt.2011.03.016. Epub 2011 Apr 5.

Abstract

During the development cycle of a new antibody therapy, the therapeutic agent will be tested on subsequently more biologically complex models. New experiments' designs are based upon data gathered from prior models. New researchers who inherit the data and researchers from groups with different cultures or expertise are often called upon to interpret these data. Experiments which are not recorded consistently or employ ambiguous terminology can make interpreting these results difficult. The researcher who had originally collected the data may not be at hand to correct any misunderstanding or offer clarification and data can be unknowingly misused. This introduces an element of risk into the therapy development process. We have developed a reporting guideline for recording therapy experiments. This guideline consists of a checklist of data to be recorded from antibody therapy experiments performed in molecular, cellular, animal and clinical model.

摘要

在新型抗体疗法的开发周期中,治疗剂将在随后更具生物学复杂性的模型中进行测试。新实验的设计基于从先前模型中收集的数据。继承这些数据的新研究人员以及来自具有不同文化或专业知识的团队的研究人员经常被要求解释这些数据。如果实验记录不一致或使用模糊的术语,那么解释这些结果可能会很困难。最初收集数据的研究人员可能不在手边,无法纠正任何误解或提供澄清,并且数据可能会被无意中误用。这会给治疗开发过程带来一定的风险。我们已经制定了一份用于记录治疗实验的报告指南。该指南包含了一份清单,列出了在分子、细胞、动物和临床模型中进行的抗体治疗实验中要记录的数据。

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