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细胞系在药物遗传学基因座研究中的应用。

Use of cell lines in the investigation of pharmacogenetic loci.

机构信息

Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL 60637, USA.

出版信息

Curr Pharm Des. 2009;15(32):3782-95. doi: 10.2174/138161209789649475.

Abstract

Drug response and toxicity, complex traits that are often highly varied among individuals, likely involve multiple genetic and non-genetic factors. Pharmacogenomic research aims to individualize therapy in an effort to maximize efficacy and minimize toxicity for each patient. Cell lines can be used as a model system for cellular pharmacologic effects, which include, but are not limited to, drug-induced cytotoxicity or apoptosis, biochemical effects and enzymatic reactions. Because severe toxicities may be associated with drugs such as chemotherapeutics, cell lines derived from healthy individuals or patients provide a convenient model to study how human genetic variation alters response to these drugs that would be unsafe or unethical to administer to human volunteers. In addition to the traditional candidate gene approaches that focus on well-understood candidate genes and pathways, the availability of extensive genotypic and phenotypic data on some cell line models has begun to allow genome-wide association (GWA) studies to simultaneously test the entire human genome for associations with drug response and toxicity. Though with some important limitations, the use of these cell lines in pharmacogenomic discovery demonstrates the promise of constructing a more comprehensive model that may ultimately integrate both genetic and non-genetic factors to predict individual response and toxicity to anticancer drugs.

摘要

药物反应和毒性是复杂的特征,通常在个体之间高度多样化,可能涉及多个遗传和非遗传因素。药物基因组学研究旨在为每个患者实现个体化治疗,以最大限度地提高疗效并最小化毒性。细胞系可用作细胞药理作用的模型系统,包括但不限于药物诱导的细胞毒性或细胞凋亡、生化作用和酶反应。由于某些药物(如化疗药物)可能会引起严重的毒性,因此源自健康个体或患者的细胞系为研究人类遗传变异如何改变对这些药物的反应提供了一种便捷的模型,而这些药物对人类志愿者进行给药既不安全也不道德。除了传统的候选基因方法,这些方法集中在已知的候选基因和途径上,一些细胞系模型的广泛基因型和表型数据的可用性开始允许全基因组关联(GWA)研究同时测试整个人类基因组与药物反应和毒性的关联。尽管存在一些重要的局限性,但这些细胞系在药物基因组学发现中的应用表明,构建一个更全面的模型具有一定的前景,该模型最终可能整合遗传和非遗传因素,以预测个体对抗癌药物的反应和毒性。

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