Medical Oncology Division, Centro Hospitalar Universitário Lisboa Norte - Hospital de Santa Maria, Lisbon, Portugal; START Madrid, Centro Integral Oncológico Clara Campal, Madrid, Spain.
START Madrid, Centro Integral Oncológico Clara Campal, Madrid, Spain.
Ann Oncol. 2019 Sep 1;30(9):1460-1465. doi: 10.1093/annonc/mdz191.
The availability of an unprecedented massive amount of data has provided a magnificent window of opportunity for the development of new drugs. There are currently more drugs in development targeting cancer than any other disease. While this has brought us new waves of drugs, the counterpart is that with these new molecules we have different mechanisms of action, drug kinetics and dynamics, response types and toxicity profiles, which impair classical early clinical trial designs from being effective and efficient. What we once treated as a 'one-size-fits-all' homogeneous disease, has now been uncovered to be a rather heterogeneous condition with multiple targetable mutations. As this generates endless scenarios, it will be impossible to design single 'me-too' trials for every different disease, target, biomarker and agent. To overcome this, we must focus on improving early phase studies, undoubtedly the most critical step from bench to bedside. Goals include decreasing clinical development times, lowering research and development costs and optimizing decisions in advancing through the several phases with a higher degree of certainty in exchange for less failed attempts. We need more informative and, really, transformative early phase designs that seek to obtain the typical late phase objectives in a time continuum and to allow for more robust and efficient go/no-go decisions. With this in mind, different classes of drugs seem to fit with different designs, which present solutions to the different challenges that they pose after finding the maximum tolerated dose/optimum biological dose. This article reviews these concepts and designs and how they can adapt to this new reality in early phase investigation.
大量前所未有的数据的出现为新药的开发提供了绝佳的机会。目前,针对癌症的药物研发数量超过了任何其他疾病。虽然这为我们带来了新一波的药物,但另一方面,由于这些新分子具有不同的作用机制、药物动力学和药效学、反应类型和毒性特征,传统的早期临床试验设计已经不再有效和高效。我们曾经认为是一种“一刀切”的同质疾病,现在已经被揭示为一种具有多种靶向突变的异质疾病。由于这会产生无穷无尽的情况,因此不可能为每个不同的疾病、靶点、生物标志物和药物设计单一的“me-too”试验。为了克服这一问题,我们必须专注于改进早期研究,这无疑是从实验室到临床的最关键步骤。目标包括缩短临床开发时间、降低研发成本,并在多个阶段做出更有把握的决策,以换取更少的失败尝试。我们需要更具信息性和变革性的早期设计,旨在在时间轴上获得典型的后期阶段目标,并允许更稳健和高效的是/否决策。考虑到这一点,不同类别的药物似乎适合不同的设计,这些设计为找到最大耐受剂量/最佳生物学剂量后出现的不同挑战提供了解决方案。本文回顾了这些概念和设计,以及它们如何适应早期研究的这种新现实。