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酪氨酸激酶抑制剂在胃肠道间质瘤和慢性髓性白血病中的药物遗传学

Pharmacogenetics of tyrosine kinase inhibitors in gastrointestinal stromal tumor and chronic myeloid leukemia.

作者信息

Ravegnini Gloria, Sammarini Giulia, Angelini Sabrina, Hrelia Patrizia

机构信息

a Department of Pharmacy and Biotechnology , University of Bologna , Bologna , Italy.

出版信息

Expert Opin Drug Metab Toxicol. 2016 Jul;12(7):733-42. doi: 10.1080/17425255.2016.1184649. Epub 2016 May 17.

Abstract

INTRODUCTION

Gastrointestinal stromal tumors (GIST) and chronic myeloid leukemia (CML) are two tumor types deeply different from each other. Despite the differences, these disorders share treatment with tyrosine kinase inhibitor imatinib. Despite the success of imatinib, the response rates vary among different individuals and pharmacogenetics may play an important role in the final clinical outcome.

AREAS COVERED

In this review, the authors provide an overview of the pharmacogenetic literature analyzing the role of polymorphisms in both GIST and CML treatment efficacy and toxicity.

EXPERT OPINION

So far, several polymorphisms influencing the pharmacokinetic determinants of imatinib have been identified. However, the data are not yet conclusive enough to translate pharmacogenetic tests in clinical practice. In this context, the major obstacles to pharmacogenetic test validation are represented by the small sample size of most studies, ethnicity and population admixture as confounding source, and uncertainty related to genetic variants analyzed. In conclusion, a combination of different theoretical approaches, experimental model systems and statistical methods is clearly needed, in order to appreciate pharmacogenetics applied to clinical practice in the near future.

摘要

引言

胃肠道间质瘤(GIST)和慢性粒细胞白血病(CML)是两种截然不同的肿瘤类型。尽管存在差异,但这两种疾病都使用酪氨酸激酶抑制剂伊马替尼进行治疗。尽管伊马替尼取得了成功,但不同个体的反应率有所不同,药物遗传学可能在最终的临床结果中发挥重要作用。

涵盖领域

在本综述中,作者概述了药物遗传学文献,分析了多态性在GIST和CML治疗疗效及毒性中的作用。

专家观点

到目前为止,已经确定了几种影响伊马替尼药代动力学决定因素的多态性。然而,数据尚未足够确凿到能够将药物遗传学检测应用于临床实践。在此背景下,药物遗传学检测验证的主要障碍包括大多数研究样本量小、种族和人群混合作为混杂因素以及与所分析基因变异相关的不确定性。总之,显然需要结合不同的理论方法、实验模型系统和统计方法,以便在不久的将来将药物遗传学应用于临床实践。

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