ArticleBMC cancer2019
A new pragmatic design for dose escalation in phase 1 clinical trials using an adaptive continual reassessment method.
Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03307148 (A Phase 1B Study Repurposing ATRA as Stromal Targeting Agent Along With Gemcitabine and Nab-Paclitaxel for Pancreatic Cancer), which is not on this map. Cited by 16 papers.
What it found
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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.
A Phase 1B Study Repurposing ATRA as Stromal Targeting Agent Along With Gemcitabine and Nab-Paclitaxel for Pancreatic Cancer (STAR_PAC)
Who cites it
16 citing papers in PubMed.
- Phase I clinical trial repurposing all-trans retinoic acid as a stromal targeting agent for pancreatic cancer.Nature communications · 2020Trial
- Review
- ISB 2001 trispecific T cell engager shows strong tumor cytotoxicity and overcomes immune escape mechanisms of multiple myeloma cells.Nature cancer · 2024Article
- Tumor-Homing Antibody-Cytokine Fusions for Cancer Therapy.OncoTargets and therapy · 2024Review
- A novel model of the continual reassessment method in Phase I trial.Scientific reports · 2023Article
- Emerging Role of Cancer-Associated Fibroblasts in Progression and Treatment of Hepatocellular Carcinoma.International journal of molecular sciences · 2023Review
- Experimental Medicine Approaches in Early-Phase CNS Drug Development.Advances in neurobiology · 2023Article
- Targeting the tumor stroma for cancer therapy.Molecular cancer · 2022Review
- A Road Map for Designing Phase I Clinical Trials of Radiotherapy-Novel Agent Combinations.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022Review
- Cancer-associated fibroblasts in pancreatic cancer: new subtypes, new markers, new targets.The Journal of pathology · 2022Review
- Current Pathology Model of Pancreatic Cancer.Cancers · 2022Review
- The Bayesian Design of Adaptive Clinical Trials.International journal of environmental research and public health · 2021Review
- Article
- Enhancing the Efficacy of CAR T Cells in the Tumor Microenvironment of Pancreatic Cancer.Cancers · 2020Review
- Antifibrotic therapy to normalize the tumor microenvironment.Journal of translational medicine · 2020Review
- A framework for advancing our understanding of cancer-associated fibroblasts.Nature reviews. Cancer · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundA key challenge in phase I trials is maintaining rapid escalation in order to avoid exposing too many patients to sub-therapeutic doses, while preserving safety by limiting the frequency of toxic events. Traditional rule-based designs require temporarily stopping recruitment whilst waiting to see whether enrolled patients develop toxicity. This can be both inefficient and introduces logistic challenges to recruitment in the clinic. We describe a novel two-stage dose assignment procedure designed for a phase I clinical trial (STARPAC), where a good estimation of prior was possible.
methodsThe STARPAC design uses rule-based design until the first patient has a dose limiting toxicity (DLT) and then switches to a modified CRM, with rules to handle patient recruitment during follow-up of earlier patients. STARPAC design is compared via simulations with the TITE-CRM and 3 + 3 methods in various toxicity estimate (T1-5), rate of recruitment (R1-2), and DLT events timing (DT1-4), scenarios using several metrics: accuracy of maximum tolerated dose (MTD), numbers of DLTs, number of patients enrolled and those missed; duration of trial; and proportion of patients treated at the therapeutic dose or MTD.
resultsThe simulations suggest that STARPAC design performed well in MTD estimation and in treating patients at the highest possible therapeutic levels. STARPAC and TITE-CRM were comparable in the number of patients required and DLTs incurred. The 3 + 3 design often had fewer patients and DLTs although this is due to its low escalation rate leading to poor MTD estimation. For the numbers of declined patients and MTD estimation 3 + 3 is uniformly worse, with STARPAC being better in those metrics for high toxicity scenarios and TITE-CRM better with low toxicity. In situations including doses with toxicities both above and below 30%, the STARPAC design outperformed TITE-CRM with respect to every metric.
conclusionWhen considering doses with toxicities both above and below the target of 30% toxicities, the two-stage STARPAC dose escalation design provides a more efficient phase I trial design than either the traditional 3 + 3 or the TITE-CRM design. Trialists should model various designs via simulation to adopt the most efficient design for their clinical scenario.
trial registrationClinical Trials NCT03307148 (11 October 2017).
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