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October 13, 2025Open Access

BE-BOIN: A Dose Optimization Design Accommodating Backfill and Late-Onset Toxicity

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Authors

KCKai ChenCenter for Drug Evaluation and ResearchYZYixuan ZhaoUniversity of AucklandKTKentaro TakedaCenter for Global Development

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Implication

The BE-BOIN method accommodates late-onset toxicity and enhances dose decision-making, aligning with FDA guidelines.

Key Points

  • BE-BOIN effectively identifies both maximum tolerable dose and optimal biological dose in clinical trials, enhancing efficacy.
  • Simulation studies demonstrate that BE-BOIN significantly reduces trial duration, optimizing patient safety and treatment outcomes.
  • The design allows for backfilling patients during escalation, addressing both efficacy and late-onset toxicity concerns.
  • Guidance from the FDA underscores the shift toward optimizing risk and benefit through improved data collection.

Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/68ecfebf950606aabec0943bhttps://doi.org/10.48550/arxiv.2509.11333
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Data from Backfilling Patients in Phase I Dose-Escalation Trials Using Bayesian Optimal Interval Design (BOIN)2024
  2. 2Adoption of Bayesian Optimal Interval (BOIN) design in phase I oncology trials, trends, and challenges.2026
  3. 3Comb-BOIN12: A Utility-Based Bayesian Optimal Interval Design for Dose Optimization in Cancer Drug-Combination Trials2024 · 5 citations
  4. 4BEACON : An Adaptive Bayesian Early‐Phase Oncology Trial Design Integrating Dose Optimization and Proof‐of‐Concept Across Survival and Binary Endpoints2026
  5. 5BOIN-ETC: A Bayesian optimal interval design considering efficacy and toxicity to identify the optimal dose combinations2024 · 8 citations