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Efficacy and safety of serplulimab in solid tumors: a meta-analysis

医学 荟萃分析 内科学 药理学 肿瘤科
作者
Peimeng Shen,Tao Zhang,Lina Hao,Jing Ming,Yanxin Wu,Shuwen Yu
出处
期刊:Frontiers in Pharmacology [Frontiers Media]
卷期号:16: 1604874-1604874
标识
DOI:10.3389/fphar.2025.1604874
摘要

Objective: The goal of this study was to investigate the effectiveness and safety of serplulimab in advanced solid tumors through a meta-analysis approach. Methods: An electronic search was conducted across the Embase, Web of Science, PubMed, and Cochrane Library databases, covering the period from each database's inception through 6 May 2025. Meta-analysis and related analyses, including subgroup, sensitivity, and publication bias assessments, were performed using Stata 16.0. The Cochrane Risk of Bias Assessment Tool (version 5.1.0) was utilized to measure the quality of randomized controlled trials (RCTs). For single-arm studies, quality was evaluated using the Methodological Index for Non-Randomized Studies (MINORS). Results: Ten studies, including three RCTs and seven single-arm studies, were analyzed, involving 2,020 patients. In the analysis of RCTs, serplulimab significantly elevated overall survival (OS) [HR = 0.68, 95% CI: 0.59-0.79, P < 0.01], disease control rate (DCR) [RR = 1.04, 95% CI: 1.01-1.08, P < 0.05], progression-free survival (PFS) [HR = 0.53, 95% CI: 0.47-0.61, P < 0.01], and objective response rate (ORR) [RR = 1.30, 95% CI: 1.09-1.56, P < 0.01]. The analysis of single-arm studies revealed that the ORR for serplulimab in solid tumors was [ES = 45%, 95% CI: 31%-59%, P < 0.01], and the DCR was [ES = 71%, 95% CI: 63%-80%, P < 0.01]. Among the ten studies, the most common adverse events included reductions in platelet count (0.32, 95% CI: 0.20-0.43), white blood cell count (0.30, 95% CI: 0.17-0.44), anemia (0.29, 95% CI: 0.09-0.48), and proteinuria (0.28, 95% CI: 0.17-0.38). Conclusion: Based on current research, serplulimab appears to be effective for solid tumors. However, given the limitations of the studies, for example, possible selection bias in single-arm studies, further multicenter, high-quality, large-sample RCTs are necessary to validate this conclusion.
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