Efficacy and safety of first-line PD-1/PD-L1 inhibitor combinations for extensive-stage small-cell lung cancer: a Bayesian network meta-analysis

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Abstract

Objectives: Several randomized controlled trials (RCTs) indicated that first-line programmed cell death protein-1/death-ligand 1 inhibitors plus chemotherapy (PD-1/PD-L1 + chemo) led to survival benefits in extensive-stage small-cell lung cancer (ES-SCLC) compared with platinum-based chemotherapy. This study aims to identify the optimal PD-1/PD-L1 + chemo combination strategy. Methods: We included RCTs comparing PD-1/ PD-L1 + chemo versus chemo alone in ES-SCLC. Overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and grade ⩾3 treatment-related adverse events were considered. Odds ratios (ORs), hazard ratios (HRs), and their 95% confidence intervals (CIs) were extracted. Results: Six RCTs with 2600 patients were analyzed in this Bayesian network meta-analysis. Results showed that adding PD-1/PD-L1 inhibitors to chemotherapy led to significant benefits in OS (HR = 0.72, 95% CI: 0.66–0.79), PFS (HR = 0.69, 95% CI: 0.63–0.75), and ORR (OR = 1.32, 95% CI: 1.12–1.56), and no differences in toxicity were found (OR = 1.09, 95% CI: 0.92–1.30). Serplulimab plus chemotherapy was found to provide the best OS (HR = 0.63, 95% CI: 0.49–0.82), the best PFS (HR = 0.47, 95% CI: 0.38–0.59), and the best ORR (OR = 1.7, 95% CI: 1.15–2.53). Moreover, although there were no difference between PD-L1 + chemo and PD-1 + chemo regarding OS (HR = 0.99, 95% CI: 0.91–1.08) and ORR (OR = 1.27, 95% CI: 0.91–1.78), PD-1 + chemo showed a significant benefit in PFS (HR = 0.82, 95% CI: 0.68–0.98) compared with PD-L1 + chemo. Conclusions: Serplulimab plus chemotherapy seems to be superior first-line immunotherapy combination for patients with ES-SCLC. PD-1 + chemo seems to outperform PD-L1 + chemo in PFS.

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Li, H., Han, H., Li, C., Wu, R., Wang, Z., Wang, Y., … Liu, H. (2023). Efficacy and safety of first-line PD-1/PD-L1 inhibitor combinations for extensive-stage small-cell lung cancer: a Bayesian network meta-analysis. Therapeutic Advances in Medical Oncology, 15. https://doi.org/10.1177/17588359231189430

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