Evidence map›Paper›PMID 40327336›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2025

Practical Considerations for Using the TITE-BOIN Design to Handle Late-Onset Toxicity or Fast Accrual in Phase I Trials.

Kai Chen, Ting-Yu Chen, Yiming Zhang, Ruitao Lin, Ying Yuan

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Kai Chen *Department of Biostatistics and Data Science, The University of Texas Health Science Center, Houston, Texas.ORCID 0000-0001-6773-4760
Ting-Yu Chen *Center for Drug Evaluation and Research, Food and Drug Administration (FDA), Silver Spring, Maryland.ORCID 0000-0002-8525-0759
Yiming Zhang *Center for Drug Evaluation and Research, Food and Drug Administration (FDA), Silver Spring, Maryland.ORCID 0000-0002-1364-3051
Ruitao LinDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-2244-131X
Ying YuanDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-3163-480X

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Tropism Enhanced Oncolytic Adenovirus for the Treatment of Brain TumorsP50CA127001 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Juan Fueyo, FREDERICK F LANG · 2008 to 2026
$41.2M
The University of Texas MD Anderson Cancer Center SPORE in Ovarian CancerP50CA281701 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ROBERT C BAST, ANIL K SOOD · 2023 to 2026
$11.5M
Project 3: Inhibiting Oxidative Phosphorylation in Pancreatic CancerP50CA221707 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KOPETZ, SCOTT · 2019 to 2023
$11.0M
The University of Texas MD Anderson Cancer Center SPORE in MelanomaP50CA221703 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WARGO, JENNIFER A. · 2019 to 2023
$10.3M
Coordinating and Data Management Center for Translational and Basic Science Research in Early LesionsU24CA274212 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Liang Li, Ying Yuan · 2022 to 2026
$3.5M
Bayesian Methods for Complex Precision Biotherapy Trials in OncologyR01CA261978 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIN, RUITAO, THALL, PETER F · 2021 to 2024
$1.4M
Novel designs for multi-arm multi-dose multi-stage platform trialsR21LM014699 · NLM · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Ruitao Lin · 2025 to 2026
$405k
National Cancer Institute (NCI) CA016672National Cancer Institute (NCI) P30CA016672National Cancer Institute (NCI) P50CA127001National Cancer Institute (NCI) P50CA221703National Cancer Institute (NCI) P50CA221707National Cancer Institute (NCI) P50CA281701National Cancer Institute (NCI) R01CA261978National Cancer Institute (NCI) U24CA274212NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA127001NCI NIH HHS P50 CA221703NCI NIH HHS P50 CA221707NCI NIH HHS P50 CA281701NCI NIH HHS R01 CA261978NCI NIH HHS U24 CA274212NLM NIH HHS R21 LM014699
6 · The paper itself

Abstract

Conducting phase I trials is particularly challenging when dealing with late-onset dose-limiting toxicity (DLT) or when patient accrual is rapid relative to the DLT assessment window. In such cases, a new cohort may be ready for enrollment before the DLT assessments are complete for the current cohort, complicating dose assignment decisions. The time-to-event Bayesian optimal interval (TITE-BOIN) design was developed to address this issue by enabling real-time dose assignment for new cohorts, even when some enrolled patients' DLT data are still pending. This design has been increasingly adopted in practice. Upon reviewing trial protocols utilizing TITE-BOIN, we observed considerable variation in dosing decision criteria, ranging from no requirements to requiring that at least two thirds of enrolled patients' DLT data should be available before enrolling the next cohort. This raises a critical question: How can safety comparable with the fully staggered design be ensured? This article addresses this question by evaluating how the percentage of pending patients and the duration of their follow-up affect the operating characteristics of the TITE-BOIN design. Based on these evaluations, we generally recommend suspending accrual to allow for longer safety follow-up if fewer than 51% of patients at the current dose have their DLT data ascertained or if TITE-BOIN recommends dose escalation and the shortest follow-up time for pending patients at the current dose is less than 25% of the DLT assessment window. The rules should be further calibrated to suit specific trial considerations. Equipped with these rules, TITE-BOIN achieves similar accuracy in identifying the MTD and comparable safety to the fully staggered approach while substantially reducing trial duration and increasing patient access by enabling real-time dose decisions when some patients' DLT data are still pending.

Indexed as

Antineoplastic AgentsClinical Trials, Phase I as TopicDrug-Related Side Effects and Adverse ReactionsNeoplasmsResearch DesignBayes TheoremDose-Response Relationship, DrugHumansMaximum Tolerated DoseAntineoplastic Agents

Identifiers

PMID40327336
PMCPMC12213182

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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.