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探索乳腺癌治疗药代动力学的动物模型。

Animal models for exploring the pharmacokinetics of breast cancer therapies.

机构信息

H. Lee Moffitt Cancer Center and Research Institute , Tampa, FL , USA.

出版信息

Expert Opin Drug Metab Toxicol. 2015 Feb;11(2):221-30. doi: 10.1517/17425255.2015.983073. Epub 2014 Nov 21.

Abstract

INTRODUCTION

Despite massive expenditures in research and development to cure breast cancer, few agents that pass preclinical trials demonstrate efficacy in humans. Although this endeavor relies on murine models to screen for efficacy before progressing to clinical trials, historically there has been little focus on the validation of these models, even in the era of targeted therapy where understanding the genetic signatures of tumors under study is critical.

AREAS COVERED

This review includes the transgenic, xenograft, and syngeneic murine breast cancer models, the ectopic, orthotopic and intravenous methods of cell implantation, and the ethics of animal experimentation. It also includes the latest data on tumor gene expression and the issues to consider when exploring the pharmacokinetics and efficacy of breast cancer therapies.

EXPERT OPINION

Breast cancer drug development is expensive and inefficient without a consensus preclinical murine model. Investigators must approach the choice of murine model with the same sophistication that is applied to the choice of in vitro assays to improve efficiency. Understanding the limitations of each model available, including the nuances of tumor gene signatures, is critical for investigators exploring the phamacokinetics and efficacy of breast cancer therapies, especially in the context of gene profiling and individualized targeted therapy.

摘要

简介

尽管在研究和开发乳腺癌治疗方法方面投入了大量资金,但很少有在临床试验中显示出疗效的药物能够通过临床前试验。尽管这一努力依赖于小鼠模型来筛选疗效,然后再进入临床试验,但历史上几乎没有关注这些模型的验证,即使在靶向治疗时代,了解研究中肿瘤的遗传特征也是至关重要的。

涵盖领域

本文综述了转基因、异种移植和同基因小鼠乳腺癌模型、异位、原位和静脉内细胞植入方法以及动物实验的伦理学。它还包括肿瘤基因表达的最新数据,以及在探索乳腺癌治疗药物的药代动力学和疗效时需要考虑的问题。

专家意见

如果没有共识的临床前小鼠模型,乳腺癌药物开发既昂贵又低效。研究人员在选择小鼠模型时,必须像选择体外测定法一样具有同样的精细程度,以提高效率。了解每种可用模型的局限性,包括肿瘤基因特征的细微差别,对于探索乳腺癌治疗药物的药代动力学和疗效的研究人员来说至关重要,特别是在基因谱分析和个体化靶向治疗的背景下。

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