Attending Biostatistician, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Department of Statistical Science, University College London, London, UK.
Br J Cancer. 2021 Sep;125(7):920-926. doi: 10.1038/s41416-021-01412-y. Epub 2021 Jun 10.
The aims of Phase 1 trials in oncology have broadened considerably from simply demonstrating that the agent/regimen of interest is well tolerated in a relatively heterogeneous patient population to addressing multiple objectives under the heading of early-phase trials and, if possible, obtaining reliable evidence regarding clinical activity to lead to drug approvals via the Accelerated Approval approach or Breakthrough Therapy designation in cases where the tumours are rare, prognosis is poor or where there might be an unmet therapeutic need. Constructing a Phase 1 design that can address multiple objectives within the context of a single trial is not simple. Randomisation can play an important role, but carrying out such randomisation according to the principles of equipoise is a significant challenge in the Phase 1 setting. If the emerging data are not sufficient to definitively address the aims early on, then a proper design can reduce biases, enhance interpretability, and maximise information so that the Phase 1 data can be more compelling. This article outlines objectives and design considerations that need to be adhered to in order to respect ethical and scientific principles required for research in human subjects in early phase clinical trials.
肿瘤学 1 期临床试验的目的已经从简单地证明目标药物/方案在相对异质的患者群体中具有良好的耐受性,扩展到在早期临床试验的标题下解决多个目标,如果可能的话,获得关于临床活性的可靠证据,通过加速批准途径或突破性治疗指定获得药物批准,在肿瘤罕见、预后差或存在未满足的治疗需求的情况下。在单次试验的背景下构建能够解决多个目标的 1 期设计并不简单。随机化可以发挥重要作用,但根据均势原则进行这种随机化是 1 期环境中的一个重大挑战。如果新出现的数据不足以早期明确解决目标,那么适当的设计可以减少偏差、提高可解释性并最大化信息,以便 1 期数据更有说服力。本文概述了为了尊重人类受试者早期临床试验中研究所需的伦理和科学原则,需要遵循的目标和设计考虑因素。