PRO-ADD: Patient-empowered dose-finding trials integrating safety, preliminary efficacy and patient-reported outcomes for optimal dose selection.
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Embargo End Date
2026-06-01
ICR Authors
Authors
Alger, E
Mandrekar, SJ
Yin, J
Yap, C
Mandrekar, SJ
Yin, J
Yap, C
Document Type
Journal Article
Date
2026-04-29
Date Accepted
Abstract
Advances in oncology drug development are driving the emergence of novel therapies, challenging traditional dose-efficacy assumptions in dose-finding oncology trials. Traditional trial designs aim to identify a maximum tolerated dose (MTD) by assessing patients' dose-limiting toxicities (DLTs) - adopting traditional dose-efficacy paradigms that efficacy increases with treatment dose. With these new therapies in mind, emphasis should shift toward methodological advancements in trial designs aimed at identifying optimal doses, rather than solely determining MTDs. Incorporating patient-reported outcomes (PROs) within dose-finding oncology trials is increasingly recommended to better understand treatments' tolerability profiles, especially given the extended tolerability assessment windows for novel immunotherapies and targeted therapies. This article introduces PRO-ADD (Patient-Reported Outcomes Aided Dose-optimisation Design), a modular trial design framework for dose-optimisation. We leverage this framework to optimise dosage with respect to three key outcomes - clinician-assessed DLTs, PROs and preliminary efficacy. PRO-ADD performs well at identifying the optimal dose (both efficacious and tolerable) - successfully identifying the most tolerable effective dose and avoiding escalation to larger, safe doses offering no additional efficacy benefit. As the field evolves, patient-centric dose-finding approaches incorporating PROs are crucial in advancing our understanding of treatment tolerability, and in turn, shaping the future landscape of dose-finding oncology trials.
Citation
Statistical Methods in Medical Research,
DOI
Source Title
Statistical Methods in Medical Research
Publisher
SAGE PUBLICATIONS LTD
ISSN
0962-2802
eISSN
1477-0334
Collections
Research Team
Clin Trials & Stats Unit