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Network meta-analysis of immunotherapy for persistent, recurrent, or metastatic cervical cancer

Network meta-analysis of immunotherapy for persistent, recurrent, or metastatic cervical cancer
Photo by BoliviaInteligente / Unsplash
Key Takeaway
Consider that network meta-analysis shows immunotherapy combinations are superior to chemotherapy for cervical cancer, but direct regimen comparisons are lacking.

This is a systematic review and network meta-analysis of phase III randomized controlled trials evaluating first-line immunotherapy for persistent, recurrent, or metastatic cervical cancer. The analysis included 1,924 patients and compared immunotherapy combinations with bevacizumab, pembrolizumab, atezolizumab, cadonilimab, or chemotherapy against chemotherapy alone.

The authors synthesized that combinations with bevacizumab, pembrolizumab, and atezolizumab demonstrated comparable efficacy to each other and were significantly superior to chemotherapy for overall survival (OS) and progression-free survival (PFS). For OS, the relative hazard ratio (HR) was 1.11 (95%CI 0.77–1.62), and for PFS, the HR was 1.09 (95%CI 0.78–1.52). In analyses without bevacizumab, cadonilimab outperformed pembrolizumab plus chemotherapy for OS (HR 0.75, 95%CI 0.45–1.25) and PFS (HR 0.64, 95%CI 0.40–1.03). Cadonilimab showed a trend toward PFS improvement in the PD-L1-negative subgroup (HR 0.65, 95%CI 0.42–1.03, p=0.06) and reached significance for PFS improvement in the metastatic subgroup (HR 0.70, 95%CI 0.54–0.92, p<0.05). All combinations with immune checkpoint inhibitors increased the objective response rate. The risk of grade ≥3 treatment-related adverse events was comparable between pembrolizumab and cadonilimab regimens (OR 1.07, 95%CI 0.57–2.02).

Key limitations noted by the authors include a lack of direct comparisons between different immunotherapy regimens, which limits the selection of optimal strategies for diverse patient populations. Head-to-head comparative studies are urgently needed to precisely identify optimal treatment regimens for certain patient subgroups. The follow-up duration was not reported.

Practice relevance is restrained; clinical decision-making should integrate multiple pieces of information such as PD-L1 expression status and bevacizumab eligibility, and individual safety profiles should be considered to create personalized treatment routes.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedApr 2026
View Original Abstract ↓
The first-line treatment for persistent, recurrent, or metastatic cervical cancer continues to pose significant clinical challenges. While the application of immune checkpoint inhibitors (ICIs) has transformed the existing treatment paradigm, the lack of direct comparisons between the different immunotherapy regimens limits the selection of optimal strategies for diverse patient populations. We have searched through the PubMed, Embase, and Web of Science databases for phase III randomized controlled trials (RCTs) for persistent, recurrent, or metastatic cervical cancer. The primary endpoints were overall survival (OS) and progression-free survival (PFS). The objective response rate (ORR) and the incidence of grade ≥3 treatment-related adverse events (TRAEs) were the secondary endpoints. Data were analyzed using a frequentist network meta-analysis and Bucher’s indirect comparison method. Four phase III RCTs (1,924 patients) were enrolled. Combinations with bevacizumab, pembrolizumab, and atezolizumab demonstrated comparable efficacy to each other [OS relative hazard ratio (HR) = 1.11, 95%CI = 0.77–1.62; PFS relative HR = 1.09, 95%CI = 0.78–1.52), both significantly superior to chemotherapy. In the treatment setting without bevacizumab, cadonilimab outperformed pembrolizumab plus chemotherapy for OS (relative HR = 0.75, 95%CI = 0.45–1.25) and PFS (relative HR = 0.64, 95%CI = 0.40–1.03). Patients with programmed death-ligand 1 (PD-L1)-positive tumors [combined positive score (CPS) ≥ 1] derived clear benefit from immunotherapy, whereas the PD-L1-negative (CPS < 1) populations experienced limited improvements overall. However, cadonilimab showed a trend toward PFS improvement in this subgroup (HR = 0.65, 95%CI = 0.42–1.03, p = 0.06) and reached significance for PFS in the metastatic subgroup (HR = 0.70, 95%CI = 0.54–0.92, p < 0.05). The ORR evaluation confirmed that all the combinations with ICIs greatly increased the tumor response rate. In addition, the risk of grade ≥3 TRAEs was comparable between the pembrolizumab and cadonilimab regimens (OR = 1.07, 95%CI = 0.57–2.02). In the bevacizumab combination setting, pembrolizumab and atezolizumab demonstrate equivalent efficacy. Cadonilimab excels in settings without bevacizumab, showing efficacy in PD-L1-negative patients and metastatic subgroups. Thus, clinical decision-making should integrate multiple pieces of information such as the PD-L1 expression status and bevacizumab eligibility, and individual safety profiles should be considered to create personalized treatment routes. In the future, head-to-head comparative studies are urgently needed to precisely identify optimal treatment regimens for certain types of patient subgroups. https://www.crd.york.ac.uk/PROSPERO/view/CRD420251158152, identifier CRD420251158152.
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