Comparison Between Simultaneous and Sequential Utilization of Safety and Efficacy for Optimal Dose Determination in
Ran Li1, Kentaro Takeda2, Alan Rong2
1Biostatistics, Data Science, Astellas Pharma Inc, 1 Astellas Way, N3.272.A, Northbrook, IL, 60062, USA. ran-li@astellas.com.
Therapeutic Innovation & Regulatory Science
|April 22, 2023
Summary
This study compares two early oncology trial designs for selecting an optimal dose (OD). Simulation results guide researchers in choosing efficient designs that balance safety and efficacy for better patient outcomes.
Area of Science:
- Oncology
- Clinical Trial Design
- Biostatistics
Background:
- Early oncology trials increasingly integrate dose-finding and dose-expansion phases.
- The goal is to identify an optimal dose (OD) balancing safety and efficacy, moving beyond the maximum tolerated dose (MTD).
Purpose of the Study:
- To compare two distinct early-phase oncology trial designs.
- To evaluate their performance in selecting the correct optimal dose (OD).
Main Methods:
- Simulation studies were conducted under various realistic settings.
- Two approaches were compared: 1) toxicity-guided dose-finding followed by efficacy expansion, and 2) integrated dose-finding using both toxicity and efficacy data.
Main Results:
- The study reports on the percentage of correct OD selections, average patient allocation to ODs, and average trial duration for each design.
- Simulation results provide data to inform the choice between the two approaches.
Conclusions:
- The findings aid in selecting appropriate early-stage dose-finding trial designs.
- Guidance is provided for incorporating expansion cohorts effectively to optimize dose selection in oncology.
Related Concept Videos
01:26Pharmacokinetic Models: Comparison and Selection Criterion
115
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
115
01:20Comparing the Survival Analysis of Two or More Groups
233
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
233
01:12Analysis of Population Pharmacokinetic Data
315
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
315
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
151
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
151
01:14Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
192
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
192
00:59Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
104
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
104