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Surrogate endpoints for overall survival in metastatic melanoma: a meta-analysis of randomised controlled trials
Keith T Flaherty1, Michael Hennig2, Sandra J Lee3
1Center for Melanoma, Massachusetts General Hospital Cancer Center, Boston, MA, USA.
The Lancet. Oncology
|February 4, 2014
Summary
Progression-free survival (PFS) is a reliable surrogate for overall survival in metastatic melanoma clinical trials. This finding supports PFS as a key endpoint in future cancer research.
Area of Science:
- Oncology
- Clinical Trials
- Biostatistics
Background:
- Metastatic melanoma treatment has advanced with demonstrated overall survival benefits.
- Assessing progression-free survival (PFS) as a surrogate for overall survival (OS) is crucial for efficient clinical trial design.
Purpose of the Study:
- To evaluate the reliability of progression-free survival (PFS) as a surrogate for overall survival (OS) in metastatic melanoma.
- To perform a meta-analysis of randomized controlled trials (RCTs) to correlate PFS and OS outcomes.
Main Methods:
- Systematic review of RCTs comparing metastatic melanoma treatments against dacarbazine control.
- Meta-analysis correlating hazard ratios (HRs) for PFS and OS, using fixed and random-effects models.
- Sensitivity analyses conducted based on crossover rates, trial size, and dacarbazine dosage.
Main Results:
- 12 RCTs with 4416 patients were included, showing a strong correlation between PFS and OS treatment effects.
- Correlation coefficients ranged from 0.71 to 0.89 depending on the weighting strategy and statistical model.
- High crossover rates, particularly in later trials, weakened the PFS-OS correlation, but a robust correlation of 0.85 was observed in trials with minimal crossover.
Conclusions:
- Progression-free survival (PFS) is a robust surrogate for overall survival (OS) in dacarbazine-controlled metastatic melanoma trials.
- The strong correlation suggests PFS can reliably predict survival benefits in this patient population.
- This association is expected to remain valid as treatment standards evolve and influence future trial designs.
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