Evidence map›Paper›PMID 31856602›Full record

ArticleClinical trials (London, England)2020

Adaptive dose-finding based on safety and feasibility in early-phase clinical trials of adoptive cell immunotherapy.

Nolan A Wages, Camilo E Fadul

Open access · greenAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Phase I clinical trials in adoptive T-cell therapies.Journal of the Royal Statistical Society. Series C, Applied statistics · 2021
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Nolan A WagesDivision of Translational Research & Applied Statistics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-2190-4864
Camilo E FadulDivision of Neuro-Oncology, Department of Neurology, University of Virginia, Charlottesville, VA, USA.
University of Virginia · US

Funding

Dose-finding designs for adoptive cell therapy trialsR03CA238966 · NCI · UNIVERSITY OF VIRGINIA · PI WAGES, NOLAN · 2019 to 2020
$162k
NCI NIH HHS R03 CA238966
6 · The paper itself

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.

Indexed as

Maximum Tolerated DoseAlgorithmsClinical Trials, Phase I as TopicDose-Response Relationship, DrugDrug-Related Side Effects and Adverse ReactionsEndpoint DeterminationFeasibility StudiesHumansImmunotherapy, AdoptiveModels, StatisticalNeoplasmsResearch Designadoptive T cell therapyDose-findingfeasibilityimmunotherapyphase Isafety

Identifiers

PMID31856602
PMCPMC7211137
OpenAlexW2995130662

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.