结直肠癌的药物基因组学:目前在临床实践中的作用和未来的展望。

IF 1.4 Q4 ONCOLOGY Journal of Cancer Metastasis and Treatment Pub Date : 2018-01-01 Epub Date: 2018-03-07 DOI:10.20517/2394-4722.2018.04
Francesca Battaglin, Alberto Puccini, Madiha Naseem, Marta Schirripa, Martin D Berger, Ryuma Tokunaga, Michelle McSkane, Taline Khoukaz, Shivani Soni, Wu Zhang, Heinz-Josef Lenz
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引用次数: 3

摘要

近年来,随着新型靶向药物和新的转移性疾病治疗策略的引入,癌症(CRC)的治疗方案不断发展。人们一直致力于识别预测性生物标志物,以帮助患者选择和指导治疗选择。药物基因组学是一种不可替代的工具,可以根据种系和肿瘤获得的体细胞遗传变异对患者进行个性化治疗,从而预测药物反应和毒性风险。CRC分子特征和复杂基因组组成的知识不断增长,在识别预测性药物基因组生物标志物方面发挥了至关重要的作用,同时支持开发新药和治疗组合的基本原理。然而,有前景的生物标志物的临床验证往往是一个问题。最近,对治疗压力下的耐药性机制和肿瘤逃逸动力学的更深入理解,以及新技术的可用性,为该领域开辟了新的视角。这篇综述旨在概述CRC中当前的药物基因组生物标志物和药物基因组学的未来前景,从单一药物-基因相互作用方法发展到更全面的全基因组方法,包括基因组学和表观遗传学。
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Pharmacogenomics in colorectal cancer: current role in clinical practice and future perspectives.

The treatment scenario of colorectal cancer (CRC) has been evolving in recent years with the introduction of novel targeted agents and new therapeutic strategies for the metastatic disease. An extensive effort has been directed to the identification of predictive biomarkers to aid patients selection and guide therapeutic choices. Pharmacogenomics represents an irreplaceable tool to individualize patients treatment based on germline and tumor acquired somatic genetic variations able to predict drugs response and risk of toxicities. The growing knowledge of CRC molecular characteristics and complex genomic makeup has played a crucial role in identifying predictive pharmacogenomic biomarkers, while supporting the rationale for the development of new drugs and treatment combinations. Clinical validation of promising biomarkers, however, is often an issue. More recently, a deeper understanding of resistance mechanisms and tumor escape dynamics under treatment pressure and the availability of novel technologies are opening new perspectives in this field. This review aims to present an overview of current pharmacogenomic biomarkers and future perspectives of pharmacogenomics in CRC, in an evolving scenario moving from a single drug-gene interactions approach to a more comprehensive genome-wide approach, comprising genomics and epigenetics.

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CiteScore
3.20
自引率
5.30%
发文量
460
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