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Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology
Matthieu Texier1, Federico Rotolo1,2, Michel Ducreux3
1Biostatistics and Epidemiology Unit, Gustave Roussy, Université Paris-Saclay, 94805 Villejuif, France.
Abstract:
In early phase clinical trials of cytotoxic drugs in oncology, the efficacy is typically evaluated based on the tumor shrinkage. However, this criterion is not always appropriate for more recent cytostatic agents, and alternative endpoints have been proposed. The growth modulation index (GMI), defined as the ratio between the times to progression in two successive treatment lines, has been proposed for a single-arm phase II trials. The treatment effect is evaluated by estimating the rate of patients having a GMI superior to a given threshold. To estimate this rate, we investigated a parametric method based on the distribution of the times to progression and a nonparametric one based on a midrank estimator. Through simulations, we studied their operating characteristics and the impact of different design parameters (censoring, dependence, and distribution) on them. In these simulations, the nonparametric estimator slightly underestimated the rate and had slightly overconservative confidence intervals in some cases. Conversely, the parametric estimator overestimated the rate and had anticonservative confidence intervals in some cases. The nonparametric method appeared to be more robust to censoring than the parametric one. In conclusion, we recommend the nonparametric method, but the parametric method can be used as a supplementary tool.
Insights
This study compares methods for evaluating cancer drug efficacy using the growth modulation index (GMI). The nonparametric method is recommended for its robustness, though the parametric approach offers supplementary insights.
Area of Science:
- Oncology
- Clinical Trial Design
- Biostatistics
Background:
- Traditional tumor shrinkage metrics are insufficient for cytostatic cancer drugs.
- Alternative endpoints like the growth modulation index (GMI) are needed for early-phase trials.
Purpose of the Study:
- To compare parametric and nonparametric methods for estimating the rate of patients achieving a GMI above a threshold in single-arm phase II trials.
- To evaluate the impact of design parameters on these estimation methods.
Main Methods:
- Investigated a parametric method using time-to-progression distributions.
- Employed a nonparametric method utilizing a midrank estimator.
- Conducted simulations to assess operating characteristics and parameter impacts (censoring, dependence, distribution).
Main Results:
- The nonparametric estimator showed slight underestimation of the rate and conservative confidence intervals.
- The parametric estimator tended to overestimate the rate and produced anticonservative confidence intervals.
- The nonparametric method demonstrated greater robustness to censoring.
Conclusions:
- The nonparametric method is recommended for estimating GMI-based treatment effects due to its robustness.
- The parametric method can serve as a supplementary tool in specific contexts.
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