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满足旨在实现个性化医疗的临床试验要求的药物设计。

Drug designs fulfilling the requirements of clinical trials aiming at personalizing medicine.

作者信息

Mandrekar Sumithra J, Sargent Daniel J

机构信息

Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA.

出版信息

Chin Clin Oncol. 2014 Jun 1;3(2):14. doi: 10.3978/j.issn.2304-3865.2014.05.03.

Abstract

In the current era of stratified medicine and biomarker-driven therapies, the focus has shifted from predictions based on the traditional anatomic staging systems to guide the choice of treatment for an individual patient to an integrated approach using the genetic makeup of the tumor and the genotype of the patient. The clinical trial designs utilized in the developmental pathway for biomarkers and biomarker-directed therapies from discovery to clinical practice are rapidly evolving. While several issues need careful consideration, two critical issues that surround the validation of biomarkers are the choice of the clinical trial design (which is based on the strength of the preliminary evidence and marker prevalence), and biomarker assay related issues surrounding the marker assessment methods such as the reliability and reproducibility of the assay. In this review, we focus on trial designs aiming at personalized medicine in the context of early phase trials for initial marker validation, as well as in the context of larger definitive trials. Designs for biomarker validation are broadly classified as retrospective (i.e., using data from previously well-conducted randomized controlled trials (RCTs) versus prospective (enrichment, all-comers, hybrid or adaptive). We believe that the systematic evaluation and implementation of these design strategies are essential to accelerate the clinical validation of biomarker guided therapy.

摘要

在当前分层医学和生物标志物驱动治疗的时代,重点已从基于传统解剖分期系统的预测以指导个体患者的治疗选择,转向使用肿瘤的基因组成和患者的基因型的综合方法。从发现到临床实践,生物标志物和生物标志物导向治疗的研发途径中所采用的临床试验设计正在迅速发展。虽然有几个问题需要仔细考虑,但围绕生物标志物验证的两个关键问题是临床试验设计的选择(这基于初步证据的强度和标志物患病率),以及与标志物评估方法相关的生物标志物检测问题,如检测的可靠性和可重复性。在本综述中,我们关注旨在实现个性化医疗的试验设计,这些设计适用于早期试验以进行初始标志物验证,以及在更大规模的确定性试验背景下。生物标志物验证的设计大致分为回顾性(即使用来自先前精心开展的随机对照试验(RCT)的数据)和前瞻性(富集、所有受试者、混合或适应性)。我们认为,对这些设计策略进行系统评估和实施对于加速生物标志物导向治疗的临床验证至关重要。

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