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药物遗传学和药物基因组学发现策略。

Pharmacogenetic and pharmacogenomic discovery strategies.

作者信息

Crisafulli Concetta, Romeo Petronilla Daniela, Calabrò Marco, Epasto Ludovica Martina, Alberti Saverio

机构信息

Department of Biomedical Sciences - BIOMORF, University of Messina, via Consolare Valeria, 98125 Messina, Italy.

Unit of Medical Genetics, University of Messina, via Consolare Valeria, 98125 Messina, Italy.

出版信息

Cancer Drug Resist. 2019 Jun 19;2(2):225-241. doi: 10.20517/cdr.2018.008. eCollection 2019.

Abstract

Genetic/genomic profiling at a single-patient level is expected to provide critical information for determining inter-individual drug toxicity and potential efficacy in cancer therapy. A better definition of cancer subtypes at a molecular level, may correspondingly complement such pharmacogenetic and pharmacogenomic approaches, for more effective personalized treatments. Current pharmacogenetic/pharmacogenomic strategies are largely based on the identification of known polymorphisms, thus limiting the discovery of novel or rarer genetic variants. Recent improvements in cost and throughput of next generation sequencing (NGS) are now making whole-genome profiling a plausible alternative for clinical procedures. Beyond classical pharmacogenetic/pharmacogenomic traits for drug metabolism, NGS screening programs of cancer genomes may lead to the identification of novel cancer-driving mutations. These may not only constitute novel therapeutic targets, but also effector determinants for metabolic pathways linked to drug metabolism. An additional advantage is that cancer NGS profiling is now leading to discovering targetable mutations, e.g., in glioblastomas and pancreatic cancers, which were originally discovered in other tumor types, thus allowing for effective repurposing of active drugs already on the market.

摘要

在单病例水平进行遗传/基因组分析有望为确定癌症治疗中个体间药物毒性和潜在疗效提供关键信息。在分子水平上对癌症亚型进行更精准的定义,可能相应地补充此类药物遗传学和药物基因组学方法,以实现更有效的个性化治疗。当前的药物遗传学/药物基因组学策略很大程度上基于已知多态性的识别,从而限制了新型或罕见遗传变异的发现。新一代测序(NGS)在成本和通量方面的最新进展,使全基因组分析成为临床程序的一个可行选择。除了药物代谢的经典药物遗传学/药物基因组学特征外,癌症基因组的NGS筛查程序可能会导致发现新的癌症驱动突变。这些突变不仅可能构成新的治疗靶点,还可能是与药物代谢相关的代谢途径的效应决定因素。另一个优势是,癌症NGS分析现在正导致发现可靶向的突变,例如在胶质母细胞瘤和胰腺癌中,这些突变最初是在其他肿瘤类型中发现的,从而使市场上已有的活性药物能够有效地重新利用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aea3/8992635/ebb03a51d240/cdr-2-225.fig.1.jpg

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