Three steps towards dose optimization for oncology dose finding
Jason J.Z. Liao, Ekaterine Asatiani, Qingyang Liu, and Kevin Hou

TL;DR
This paper proposes a three-step dose optimization process for oncology drug development, aiming to improve dose selection by integrating safety, pharmacology, and efficacy data across phases.
Contribution
It introduces a novel three-step framework for dose optimization tailored to molecularly targeted therapies, addressing limitations of traditional MTD-based approaches.
Findings
Hybrid dose-escalation design improves overdose control
Incorporating biomarker data enhances dose selection
Multiple RDEs in phase expansion increase likelihood of optimal dose
Abstract
Traditional dose selection for oncology registration trials typically employs a one- or two-step single maximum tolerated dose (MTD) approach. However, this approach may not be appropriate for molecularly targeted therapy that tends to have toxicity profiles that are markedly different to cytotoxic agents. The US Food and Drug Administration launched Project Optimus to reform dose optimization in oncology drug development and has recently released a related Guidance for Industry. In response to these initiatives, we propose a "three steps towards dose optimization" procedure and discuss the details in dose optimization designs and analyses in this manuscript. The first step is dose-escalation to identify the MTD or maximum administered dose with an efficient hybrid design, which can offer good overdose control and increases the likelihood of the recommended MTD being close to the true…
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Taxonomy
TopicsStatistical Methods in Clinical Trials · Cancer Genomics and Diagnostics · Mathematical Biology Tumor Growth
