Abstract

ObjectivesTo evaluate disease-free survival (DFS) as a surrogate endpoint for overall survival (OS) using aggregate-level data from resectable esophageal or gastroesophageal junction cancer (EC/GEJC) trials assessing therapies in (neo)adjuvant and perioperative settings. MethodsA systematic literature review was conducted to identify trials reporting OS and DFS, or compatible progression-free survival (PFS). Bivariate random-effects meta-analysis was used to estimate correlation between the treatment effects on DFS/PFS and OS, and weighted linear regression models assuming trial sample sizes as weights were used to estimate surrogacy equations. The primary analysis consisted of trials across all treatment settings, and secondary analysis consisted of trials only in the adjuvant setting. Leave-one-out cross-validation (LOOCV) was performed to measure the stability and predictive accuracy of the surrogacy equations while surrogate threshold effects (STE)—the minimum treatment effect on DFS/PFS that would translate into a positive OS benefit—were derived to measure their usefulness. ResultsThe primary analysis included 26 trials. The estimated correlation coefficient between the hazard ratio (HR) of DFS/PFS (HRDFS/PFS) and HR of OS (HROS) was 0.83 (95% confidence interval [CI]: 0.70–0.90). The estimated surrogacy equation was log(HROS) = 0.80 × log(HRDFS/PFS) with a corresponding STE of 0.82. Reported HROS was within the 95% prediction interval of the predicted HROS from the model for more than 95% of the trials in the LOOCV, indicating a valid model. Secondary analysis included 7 trials with an estimated correlation coefficient of 0.76 (95% CI: 0.18–0.95). Through LOOCV, the surrogacy equation in the adjuvant setting was deemed valid. ConclusionsOur meta-analysis suggests that HRDFS/PFS —where DFS/PFS is defined as time from resection to disease recurrence (local, locoregional, or distant) or death—is correlated to HROS, and a valid and useful surrogate predictor for HROS in the neoadjuvant, perioperative, or adjuvant settings.

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