A Novel Method for Inserting Dose Levels Mid‐Trial in Early‐Phase Oncology Combination Studies

The use of combination treatments in early-phase oncology trials is growing. The objective of these trials is to search for the maximum tolerated dose combination from a predefined set. However, cases in which the initial set of combinations does not contain one close to the target toxicity pose a significant challenge. Currently, solutions are typically ad hoc and may bring practical challenges. We propose a novel method for inserting dose levels mid-trial, which features a search for the contour partitioning the dose space into combinations with toxicity truly above and below the target toxicity. Establishing this contour with a degree of certainty suggests that no combination is close to the target toxicity, triggering an insertion. We examine our approach in a comprehensive simulation study applied to the PIPE design and two-dimensional Bayesian logistic regression model (BLRM), though any model-based or model-assisted design is an appropriate candidate. Our results demonstrate that, on average, the insertion method can increase the probability of selecting combinations close to the target toxicity, without increasing the probability of subtherapeutic or toxic recommendations.

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Publication Details

Journal
Statistics in Medicine
Published
2026-02-01
DOI
https://doi.org/10.1002/sim.70417
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
0.00

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article

A Novel Method for Inserting Dose Levels Mid‐Trial in Early‐Phase Oncology Combination Studies

Ian Wadsworth, Pavel Mozgunov, M. C. George
Statistics in Medicine
Statistical Methods in Clinical Trials
article

A Novel Method for Inserting Dose Levels Mid‐Trial in Early‐Phase Oncology Combination Studies

Ian Wadsworth, Pavel Mozgunov, M. C. George
article en

Abstract

The use of combination treatments in early-phase oncology trials is growing. The objective of these trials is to search for the maximum tolerated dose combination from a predefined set. However, cases in which the initial set of combinations does not contain one close to the target toxicity pose a significant challenge. Currently, solutions are typically ad hoc and may bring practical challenges. We propose a novel method for inserting dose levels mid-trial, which features a search for the contour partitioning the dose space into combinations with toxicity truly above and below the target toxicity. Establishing this contour with a degree of certainty suggests that no combination is close to the target toxicity, triggering an insertion. We examine our approach in a comprehensive simulation study applied to the PIPE design and two-dimensional Bayesian logistic regression model (BLRM), though any model-based or model-assisted design is an appropriate candidate. Our results demonstrate that, on average, the insertion method can increase the probability of selecting combinations close to the target toxicity, without increasing the probability of subtherapeutic or toxic recommendations.

Statistics in MedicineVol. 45(3-5)
University of Cambridge (GB), London Cancer (GB), MRC Biostatistics Unit (GB)
National Institute for Health and Care Research, Department of Health and Social Care, Medical Research Council
Openalex Percentile: Top 59%
Statistical Methods in Clinical Trials
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A Novel Method for Inserting Dose Levels Mid‐Trial in Early‐Phase Oncology Combination Studies — Ian Wadsworth, Pavel Mozgunov, et al. · Statistics in Medicine (2026) | TGRS Research Map | TGRS