ArticleClinical trials (London, England)2020
Adaptive dose-finding based on safety and feasibility in early-phase clinical trials of adoptive cell immunotherapy.
Article in Clinical trials (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Dose-finding designs for cell therapy cancer clinical trials evaluating drug-combinations.Contemporary clinical trials · 2025Article
- Isotonic Phase I cancer clinical trial design utilizing patient-reported outcomes.Statistics in biopharmaceutical research · 2025Article
- Dose-finding based on feasibility and late-onset toxicity in adoptive cell therapy trials.Journal of biopharmaceutical statistics · 2024Article
- Impact of dose feasibility on the conduct of phase I trials of adoptive cell therapy.Contemporary clinical trials communications · 2022Article
- Phase I clinical trials in adoptive T-cell therapies.Journal of the Royal Statistical Society. Series C, Applied statistics · 2021Article
- Lights and Shadows in Immuno-Oncology Drug Development.Cancers · 2021Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
BACKGROUND/
aimsDose feasibility is a challenge that may arise in the development of adoptive T cell therapies for cancer. In early-phase clinical trials, dose is quantified either by a fixed or per unit body weight number of cells infused. It may not be feasible, however, to administer a patient's assigned dose due to an insufficient number of cells harvested or functional heterogeneity of the product. The study objective becomes to identify the maximum tolerated dose with high feasibility of being administered. This article describes a new dose-finding method that adaptively accounts for safety and feasibility endpoints in guiding dose allocation.
methodsWe propose an adaptive dose-finding method that integrates accumulating feasibility and safety data to select doses for participant cohorts in early-phase trials examining adoptive cell immunotherapy. We sequentially model the probability of dose-limiting toxicity and the probability of feasibility using independent beta-binomial models. The probability model for toxicity borrows information across all dose levels using isotonic regression, allowing participants infused at a lower dose than his or her planned dose to contribute safety data to the dose-finding algorithm. We applied the proposed methodology in a single simulated trial and evaluated its operating characteristics through extensive simulation studies.
resultsIn simulations conducted for a phase I study of adoptive immunotherapy for newly diagnosed glioblastoma, the proposed method demonstrates the ability to identify accurately the feasible maximum tolerated doses and to treat participants at and around these doses. Over 10 hypothesized scenarios studied, the percentage of correctly selecting the true feasible and maximum tolerated dose ranged from 50% to 90% with sample sizes averaging between 21 and 24 participants. A comparison to the only known existing method accounting for safety and feasibility yields competitive performance.
conclusionWe have developed a new practical adaptive dose-finding method to assess feasibility in early-phase adoptive cell therapy trials. A design that incorporates feasibility, as a function of the quantity and quality of the product manufactured, in addition to safety will have an impact on the recommended phase II doses in studies that evaluate patient outcomes.
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