Genomics Group, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US FDA, Building 51, 10903 New Hampshire Avenue, Silver Spring, Maryland 20903-002, USA.
Nat Rev Drug Discov. 2010 Jun;9(6):435-45. doi: 10.1038/nrd3116.
Heterogeneity in the underlying mechanisms of disease processes and inter-patient variability in drug responses are major challenges in drug development. To address these challenges, biomarker strategies based on a range of platforms, such as microarray gene-expression technologies, are increasingly being applied to elucidate these sources of variability and thereby potentially increase drug development success rates. With the aim of enhancing understanding of the regulatory significance of such biomarker data by regulators and sponsors, the US Food and Drug Administration initiated a programme in 2004 to allow sponsors to submit exploratory genomic data voluntarily, without immediate regulatory impact. In this article, a selection of case studies from the first 5 years of this programme - which is now known as the voluntary exploratory data submission programme, and also involves collaboration with the European Medicines Agency - are discussed, and general lessons are highlighted.
疾病过程的潜在机制和药物反应的个体间变异性的异质性是药物开发的主要挑战。为了应对这些挑战,基于一系列平台的生物标志物策略,如微阵列基因表达技术,越来越多地被应用于阐明这些变异性的来源,从而有可能提高药物开发的成功率。为了增强监管机构和赞助商对这类生物标志物数据监管意义的理解,美国食品和药物管理局于 2004 年启动了一项计划,允许赞助商自愿提交探索性基因组数据,而不会对监管产生直接影响。本文讨论了该计划前 5 年的一些案例研究——该计划现在被称为自愿探索性数据提交计划,同时还与欧洲药品管理局合作——并强调了一般经验教训。