Mohr Peter, Kurt Murat, Srinivasan Swetha, Moshyk Andriy, Ejzykowicz Flavia, Serafini Paul, Pourrahmat Mir-Masoud, Leung Lisa
Department of Dermatology, Elbe Kliniken Buxtehude, Buxtehude, Germany.
Bristol Myers Squibb, Princeton, NJ, United States.
Front Oncol. 2025 Jun 5;15:1541086. doi: 10.3389/fonc.2025.1541086. eCollection 2025.
To evaluate the association between the treatment effects on progression-free survival (PFS) and overall survival (OS) for previously untreated, unresectable or metastatic melanoma.
A systematic literature review identified eligible trials reporting PFS and OS. Bivariate random effects meta-analysis (BRMA) was performed to estimate the correlation between the hazard ratios (HRs) of OS (HR) and PFS (HR), and sample size-weighted linear regression (WLR) was used to estimate a surrogacy equation which predict the HR from the HR. Strength of the correlation obtained from BRMA and WLR models was assessed using published guidelines. Predictive performance of the WLR model was also evaluated internally by leave-one-out cross-validation (LOOCV) and externally against data from newly published trials. Further analyses included adjustments for BRAF mutation status, and restriction to phase III trials or trials evaluating immune checkpoint or BRAF/MEK inhibitors, without crossover or crossover-adjusted, or meeting proportional hazards assumption.
BRMA and WLR estimated a correlation of 0.74 (95%CI: 0.51-0.87) and 0.81 (95%CI: 0.58-0.92), respectively. The estimated surrogacy equation derived from the WLR was lnHR = -0.05 + 0.50 × lnHR with a statistically non-significant intercept (95% CI: -0.14 - 0.03) and a statistically significant slope (95% CI: 0.35 - 0.65). The surrogacy equation derived from the BRMA was lnHR = -0.11 + 0.36 × lnHR with a statistically non-significant intercept (95% CI: -0.23 - 0.00) and a statistically significant slope (95% CI: 0.17 - 0.57). The predictive accuracy of the WLR was 95.8% in LOOCV. Across sensitivity analyses correlations between HR and HR were ≥0.77 and ≥0.85 based on BRMA and WLR, respectively, and the accuracy of the WLR model in LOOCV was ≥88%. When predicting HR for newly published trials, the differences between the observed and model-predicted HR's were <0.05.
Results suggest a clinically meaningful and moderate trial-level correlation between PFS and OS across all analyses. The analyses and high accuracy of the surrogacy equations shown in internal and external validations can enable earlier prediction of treatment effects on OS from the improvements on PFS for previously untreated unresectable or metastatic melanoma.
评估既往未接受治疗、不可切除或转移性黑色素瘤的无进展生存期(PFS)和总生存期(OS)的治疗效果之间的关联。
系统文献综述确定了报告PFS和OS的合格试验。进行双变量随机效应荟萃分析(BRMA)以估计OS的风险比(HR)和PFS的风险比(HR)之间的相关性,并使用样本量加权线性回归(WLR)来估计一个替代方程,该方程可根据HR预测HR。使用已发表的指南评估从BRMA和WLR模型获得的相关性强度。WLR模型的预测性能还通过留一法交叉验证(LOOCV)在内部进行评估,并与新发表试验的数据进行外部比较。进一步的分析包括对BRAF突变状态的调整,以及限制在III期试验或评估免疫检查点或BRAF/MEK抑制剂的试验中,不包括交叉或交叉调整的试验,或符合比例风险假设的试验。
BRMA和WLR分别估计相关性为0.74(95%CI:0.51-0.87)和0.81(95%CI:0.58-0.92)。从WLR得出的估计替代方程为lnHR = -0.05 + 0.50×lnHR,截距无统计学意义(95%CI:-0.14 - 0.03),斜率有统计学意义(95%CI:0.35 - 0.65)。从BRMA得出的替代方程为lnHR = -0.11 + 0.36×lnHR,截距无统计学意义(95%CI:-0.23 - 0.00),斜率有统计学意义(95%CI:0.17 - 0.57)。WLR在LOOCV中的预测准确率为95.8%。在所有敏感性分析中,基于BRMA和WLR,HR和HR之间的相关性分别≥0.77和≥0.85,并且WLR模型在LOOCV中的准确率≥88%。在预测新发表试验的HR时,观察到的HR与模型预测的HR之间的差异<0.05。
结果表明,在所有分析中,PFS和OS之间在临床层面存在有意义的中度相关性。替代方程在内部和外部验证中显示的高分析准确性,能够根据既往未接受治疗、不可切除或转移性黑色素瘤PFS的改善情况,更早地预测治疗对OS的效果。