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TITE-STEIN: Time-to-event simple toxicity and efficacy interval design to accelerate phase I/II trials
Hao Sun1, Jieqi Tu2, Revathi Ananthakrishnan1
1Global Biometrics & Data Sciences, Bristol Myers Squibb, Lawrenceville, NJ, USA.
TITE-STEIN is a novel oncology trial design that accelerates dose finding by incorporating time-to-event data for toxicity and efficacy. This adaptive design improves optimal biological dose selection and patient safety.
Area of Science:
- Clinical Trials
- Biostatistics
- Pharmacology
Background:
- Oncology trials are transitioning from maximum-tolerated dose (MTD) to optimal biological dose (OBD) selection.
- Novel therapies like immunotherapies require methods that account for complex dose-efficacy relationships.
- Existing designs face challenges with delayed toxicity/efficacy onset and rapid patient accrual.
Purpose of the Study:
- To introduce TITE-STEIN, a time-to-event extension of the STEIN design for adaptive oncology dose finding.
- To address limitations of current designs regarding timely dose decisions and patient safety.
- To improve the accuracy and efficiency of OBD selection in clinical trials.
Main Methods:
- Extending the Simple Toxicity and Efficacy Interval (STEIN) design to incorporate time-to-event (TITE) data.
- Integrating an optimal biological dose (OBD) verification step into the dose selection process.
- Conducting extensive simulations to compare TITE-STEIN with existing time-to-event designs.
Main Results:
- TITE-STEIN significantly reduces trial duration compared to the original STEIN design.
- The integrated OBD verification procedure effectively prevents patient exposure to inadmissible doses.
- TITE-STEIN demonstrates superior performance in accurate OBD selection and overdose control compared to other TITE designs.
Conclusions:
- TITE-STEIN offers a more efficient and safer approach to adaptive dose finding in oncology.
- The design is particularly beneficial for novel therapies with delayed toxicity or efficacy.
- TITE-STEIN improves upon existing time-to-event designs by enhancing accuracy and patient safety.
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