ArticleContemporary clinical trials2025
Dose-finding designs for cell therapy cancer clinical trials evaluating drug-combinations.
Article in Contemporary clinical trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Quantitative Dose Optimization for Gene Therapy Trials: Implications for Project Optimus and Early-Phase Design.Pharmaceutical statisticsArticle
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2 authors.
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Abstract
Cell therapies have taken hold as a promising modality of treatment for multiple types of cancer. Despite this, their efficacy as a monotherapy has been limited, driving interest in their possible role as part of a drug combination. This paper introduces a novel dose-finding design for phase I cancer trials assessing drug combinations where one of the drugs is a cell therapy. Our design adapts the partial order continual reassessment method (POCRM) to account for late-onset dose-limiting toxicities (DLT) and feasibility concerns due to complexities related to manufacturing the cell therapy product. We illustrate our design on a proposed trial to assess the combination of a Rituximab-based bispecific antibody activated T cell product and Nivolumab for the treatment of high-grade B-cell lymphoma. We also provide simulation results that demonstrate our design's ability to accurately identify the feasible maximum tolerated dose combination (FMTDC) while managing late-onset DLTs and feasibility concerns. Our methodology aims to improve the phase I drug combination landscape for cell therapy cancer clinical trials.
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