Suppr超能文献

对于癌症患者,我们应该在何时安排下一代测序检测?

When should we order a next generation sequencing test in a patient with cancer?

作者信息

Colomer Ramon, Mondejar Rebeca, Romero-Laorden Nuria, Alfranca Arantzazu, Sanchez-Madrid Francisco, Quintela-Fandino Miguel

机构信息

Departament of Medicine, Universidad Autónoma de Madrid (UAM), Spain.

Medical Oncology Division, Hospital Universitario La Princesa, Madrid, Spain.

出版信息

EClinicalMedicine. 2020 Jul 31;25:100487. doi: 10.1016/j.eclinm.2020.100487. eCollection 2020 Aug.

Abstract

Technical advances in genome sequencing and the implementation of next-generation sequencing (NGS) in clinical oncology have paved the way for individualizing cancer patient therapy based on molecular profiles. When and how to use NGS testing in the clinic is at present an unsolved issue, although new research results provide evidence favoring this approach in some types of advanced cancer. Clinical research is evolving rapidly, from basket and umbrella trials to adaptative design precision oncology clinical studies, and genomic and molecular data often displace the classical clinical validation procedures of biomarkers. In this context, physicians must be aware of the clinical evidence behind these new biomarkers and NGS tests available, in order to use them in the right moment, and with a critical point of view. This review will present the status of currently available targeted drugs that can be effective based on actionable molecular alterations, and the NGS tests that are currently available, offering a practical guide for the application of Clinical Precision Oncology in the real world routine practice.

摘要

基因组测序技术的进步以及下一代测序(NGS)在临床肿瘤学中的应用,为基于分子特征实现癌症患者治疗个体化铺平了道路。目前,在临床中何时以及如何使用NGS检测仍是一个未解决的问题,尽管新的研究结果为在某些类型的晚期癌症中采用这种方法提供了证据。临床研究正在迅速发展,从篮子试验和伞式试验到适应性设计的精准肿瘤学临床研究,基因组和分子数据常常取代生物标志物的经典临床验证程序。在这种背景下,医生必须了解这些新生物标志物和现有NGS检测背后的临床证据,以便在合适的时机、以批判性的视角使用它们。本综述将介绍基于可操作分子改变可能有效的现有靶向药物的现状,以及目前可用的NGS检测,为临床精准肿瘤学在现实世界常规实践中的应用提供实用指南。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验