Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK.
The Institute of Cancer Research Clinical Trials and Statistics Unit, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK.
Trials. 2022 May 7;23(1):372. doi: 10.1186/s13063-022-06312-x.
Platform trial designs are used increasingly in cancer clinical research and are considered an efficient model for evaluating multiple compounds within a single disease or disease subtype. However, these trial designs can be challenging to operationalise. The use of platform trials in oncology clinical research has increased considerably in recent years as advances in molecular biology enable molecularly defined stratification of patient populations and targeted therapy evaluation. Whereas multiple separate trials may be deemed infeasible, platform designs allow efficient, parallel evaluation of multiple targeted therapies in relatively small biologically defined patient sub-populations with the promise of increased molecular screening efficiency and reduced time for drug evaluation. Whilst the theoretical efficiencies are widely reported, the operational challenges associated with these designs (complexity, cost, regulatory, resource) are not always well understood. MAIN: In this commentary, we describe our practical experience of the implementation and delivery of the UK plasmaMATCH trial, a platform trial in advanced breast cancer, comprising an integrated screening component and multiple parallel downstream mutation-directed therapeutic cohorts. plasmaMATCH reported its primary results within 3 years of opening to recruitment. We reflect on the operational challenges encountered and share lessons learnt to inform the successful conduct of future trials. Key to the success of the plasmaMATCH trial was well co-ordinated stakeholder engagement by an experienced clinical trials unit with expert methodology and trial management expertise, a federated model of clinical leadership, a well-written protocol integrating screening and treatment components and including justification for the chosen structure and intentions for future adaptions, and an integrated funding model with streamlined contractual arrangements across multiple partners. Findings based on our practical experience include the importance of early engagement with the regulators and consideration of a flexible resource infrastructure to allow adequate resource allocation to support concurrent trial activities as adaptions are implemented in parallel to the continued management of patient safety and data quality of the ongoing trial cohorts.
Platform trial designs allow the efficient reporting of multiple treatment cohorts. Operational challenges can be overcome through multidisciplinary engagement, streamlined contracting processes, rationalised protocol and database design and appropriate resourcing.
平台试验设计在癌症临床研究中越来越多地被使用,被认为是在单一疾病或疾病亚型内评估多种化合物的有效模型。然而,这些试验设计可能难以实施。近年来,随着分子生物学的进步使患者人群的分子定义分层和靶向治疗评估成为可能,肿瘤学临床研究中越来越多地使用平台试验。虽然多个单独的试验可能被认为不可行,但平台设计允许在相对较小的生物学定义的患者亚群中高效、并行地评估多种靶向治疗,有望提高分子筛选效率并减少药物评估时间。虽然理论效率得到了广泛报道,但这些设计相关的操作挑战(复杂性、成本、监管、资源)并不总是被很好地理解。主要内容:在这篇评论中,我们描述了我们在实施和交付 UK plasmaMATCH 试验方面的实际经验,这是一项在晚期乳腺癌中的平台试验,包括一个集成的筛选部分和多个平行的下游突变导向治疗队列。plasmaMATCH 在招募开放后 3 年内报告了其主要结果。我们反思了遇到的操作挑战,并分享经验教训,为未来试验的成功进行提供信息。plasmaMATCH 试验成功的关键是由经验丰富的临床试验单位进行的协调良好的利益相关者参与,该单位具有专业的方法学和试验管理专业知识、协作的临床领导模式、一份整合了筛选和治疗部分的、包括选择结构的合理性和对未来调整的意图的协议以及一个具有简化合同安排的集成融资模式的多个合作伙伴。基于我们的实际经验的发现包括与监管机构早期接触的重要性,并考虑建立一个灵活的资源基础设施,以允许为支持平行实施的适应性调整提供足够的资源分配,同时继续管理正在进行的试验队列的患者安全和数据质量。结论:平台试验设计允许高效报告多个治疗队列。通过多学科参与、简化的合同流程、合理化的方案和数据库设计以及适当的资源配置,可以克服操作挑战。