Pharmacogenomic Profiling of ADME Gene Variants: Current Challenges and Validation Perspectives.

Q2 Biochemistry, Genetics and Molecular Biology
High-Throughput Pub Date : 2018-12-18 DOI:10.3390/ht7040040
Mariamena Arbitrio, Maria Teresa Di Martino, Francesca Scionti, Vito Barbieri, Licia Pensabene, Pierosandro Tagliaferri
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引用次数: 27

Abstract

In the past decades, many efforts have been made to individualize medical treatments, taking into account molecular profiles and the individual genetic background. The development of molecularly targeted drugs and immunotherapy have revolutionized medical treatments but the inter-patient variability in the anti-tumor drug pharmacokinetics (PK) and pharmacodynamics can be explained, at least in part, by genetic variations in genes encoding drug metabolizing enzymes and transporters (ADME) or in genes encoding drug receptors. Here, we focus on high-throughput technologies applied for PK screening for the identification of predictive biomarkers of efficacy or toxicity in cancer treatment, whose application in clinical practice could promote personalized treatments tailored on individual's genetic make-up. Pharmacogenomic tools have been implemented and the clinical utility of pharmacogenetic screening could increase safety in patients for the identification of drug metabolism-related biomarkers for a personalized medicine. Although pharmacogenomic studies were performed in adult cohorts, pharmacogenetic pediatric research has yielded promising results. Additionally, we discuss the current challenges and theoretical bases for the implementation of pharmacogenetic tests for translation in the clinical practice taking into account that pharmacogenomics platforms are discovery oriented and must open the way for the setting of robust tests suitable for daily practice.

Abstract Image

ADME基因变体的药物基因组图谱:当前的挑战和验证前景。
在过去的几十年里,考虑到分子特征和个体遗传背景,人们做出了许多努力来个性化医疗。分子靶向药物和免疫疗法的发展已经彻底改变了医学治疗,但抗肿瘤药物药代动力学(PK)和药效学的患者间变异至少可以部分通过编码药物代谢酶和转运蛋白(ADME)的基因或编码药物受体的基因的遗传变异来解释。在此,我们重点关注用于PK筛选的高通量技术,以识别癌症治疗中疗效或毒性的预测生物标志物,其在临床实践中的应用可以促进针对个体基因构成的个性化治疗。药物基因组学工具已经实施,药物遗传学筛查的临床实用性可以提高患者识别个性化药物药物代谢相关生物标志物的安全性。尽管药物基因组研究是在成人队列中进行的,但药物遗传学儿科研究已经取得了有希望的结果。此外,我们讨论了在临床实践中实施药物遗传学测试以进行翻译的当前挑战和理论基础,考虑到药物基因组学平台是以发现为导向的,必须为设置适合日常实践的强大测试开辟道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
High-Throughput
High-Throughput Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: -Microarrays -DNA Sequencing -RNA Sequencing -Protein Identification and Quantification -Cell-based Approaches -Omics Technologies -Imaging -Bioinformatics -Computational Biology/Chemistry -Statistics -Integrative Omics -Drug Discovery and Development -Microfluidics -Lab-on-a-chip -Data Mining -Databases -Multiplex Assays
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