Challenges and opportunities of predicting overall survival benefit from improvements to recurrence-free survival in stage II/III melanoma: a correlation meta-analysis
L. Leung , J.M. Kirkwood , S. Srinivasan , M. Dyer , A. Qian , M.-M. Pourrahmat , E. Kasireddy , J.R. May , A. Moshyk , M. Kurt
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引用次数: 0
Abstract
Background
We evaluated the association between treatment effects on recurrence-free survival (RFS) and overall survival (OS) in randomized controlled trials (RCTs) studying resected stage II/III melanoma.
Methods
Hazard ratios (HRs) of RFS and OS were obtained from a literature review. Bivariate random-effects meta-analysis (BRMA) and weighted linear regression (WLR) models estimated correlations [95% confidence interval (CI)] between HRRFS and HROS. Slopes and intercepts of surrogacy equations were estimated. Surrogate threshold effect was derived from WLR for various sample sizes. Validity and predictive performance of WLR were assessed using leave-one-out cross-validation. Sensitivity analyses evaluated impact of RCTs violating proportional hazards assumption, publication year, treatments’ mechanism of action, and cancer stage.
Results
Across 30 RCTs, treatments included interferon-α (n = 17), other immunotherapy-containing regimens (n = 10), immune checkpoint inhibitors (n = 3), and targeted therapies (n = 2). BRMA (0.68, 95% CI 0.45-0.82) and WLR (0.71, 95% CI 0.42-0.87) estimated moderate correlation between HRRFS and HROS. Surrogate threshold effect was 0.66/0.68 for studies with 800/1000 patients. Slope coefficients were statistically significant in both models (95% CI 0.09-0.61 BRMA; 95% CI 0.41-0.92 WLR). The 95% prediction intervals around the HROS predicted by WLR accurately contained 29/31 (93.5%) of observed HROS. Across sensitivity analyses correlations ranged between 0.69 and 0.84 (BRMA) and 0.55 and 0.77 (WLR).
Conclusions
Statistically meaningful correlation between HRRFS and HROS can assist earlier predictions of OS benefit from improvements in RFS for RCTs in resected stage II/III melanoma and provide insights for the earlier evaluation of emerging therapies. Primary model predictions should be approached with caution as nearly half of the evidence base comprised interferon-α trials.