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Updated: Jun 23, 2026

Potentiation of Anticancer Antibody Efficacy by Antineoplastic Drugs: Detection of Antibody-drug Synergism Using the Combination Index Equation
Published on: January 19, 2019
Design issues in dose-finding Phase I trials for combinations of two agents.
Shenghua Kelly Fan1, Alan P Venook, Ying Lu
1Department of Statistics and Biostatistics, California State University, East Bay, Hayward, California, USA.
This study introduces improved strategies for finding the maximum tolerated dose (MTD) in combination cancer therapy. These new methods offer a more efficient and practical approach to identifying optimal drug combinations.
Area of Science:
- Oncology
- Clinical Trial Design
- Pharmacology
Background:
- Combination therapy with two antitumor agents can yield synergistic effects.
- Phase I trials aim to determine the maximum tolerated dose (MTD) for combined agents.
- Conventional 3+3 designs may be inefficient, missing optimal doses and increasing patient numbers.
Purpose of the Study:
- To develop and evaluate comprehensive strategies for identifying the MTD in two-agent combination therapies.
- To improve the efficiency and practicality of MTD determination in early-phase combination trials.
Main Methods:
- Evaluation of algorithms based on two-stage and three-stage designs with varying cohort sizes.
- Implementation of a two-dimensional isotonic estimation method for toxicity rate.
- Simulation studies comparing different cohort sizes (e.g., 2+1+3 vs. 3+3).
Main Results:
- The proposed comprehensive search strategies demonstrate potential for greater efficiency.
- Simulation results indicate advantages of specific cohort size variations.
- The two-dimensional isotonic estimation provides a robust method for toxicity assessment.
Conclusions:
- The comprehensive search strategies presented are more practical and efficient for identifying the MTD in two-agent combination therapies.
- These novel approaches can optimize early-phase clinical trial designs for combination drug development.
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