Abstract

Objective

This meta-analysis systematically evaluated the effectiveness and safety of immune checkpoint inhibitors (ICIs) in treating advanced cervical cancer, emphasizing their potential as transformative therapeutic options in this complex clinical landscape.

Methods

EMBASE, Web of Science, PubMed, and the Cochrane Library were thoroughly searched for articles on the outcomes of ICIs in advanced cervical cancer patients. A pooled analysis was performed to evaluate the objective response rate (ORR: reported as an odds ratio (OR), progression-free survival (PFS; hazard ratio (HR), overall survival (OS; HR), and safety outcomes risk ratio (RR). Subgroup and sensitivity analyses were also conducted to identify potential sources of bias and heterogeneity.

Results

Our meta-analysis included 5 studies involving 3,112 patients. Compared with standard therapies, treatment with immune checkpoint inhibitors (ICIs) significantly improved the objective response rate (ORR; OR = 1.68, 95% CI = 1.27–2.23), prolonged progression-free survival (PFS; HR = 0.72, 95% CI = 0.65–0.80), and extended overall survival (OS; HR = 0.69, 95% CI = 0.61–0.79). Subgroup analyses revealed potential predictors of treatment response. Moreover, ICIs exhibit a manageable safety profile, with adverse events consistent with known immune-related toxicities.

Conclusion

This meta-analysis highlights the promising efficacy and favourable safety profile of immune checkpoint inhibitors in advanced cervical cancer. These findings suggest a paradigm shift in treatment strategies, with ICIs emerging as a potential cornerstone therapy. Further research is warranted to elucidate optimal patient selection, combination therapies, and long-term outcomes. This study provides valuable insights for clinicians and researchers, paving the way for personalized and effective treatment approaches for advanced cervical cancer.

Details

Title
Unlocking the potential of immune checkpoint inhibitors in advanced cervical cancer: a meta-analysis and systematic review
Author
Zheng-rui, Li; Yu-Feng, Wang; Chen- Rong Zuo; Jing-Sheng Men; Xin-Yuan, Li; Luo, Peng; Xiao-San, Su; Rui-Fen Sun
Pages
1-13
Section
Research
Publication year
2025
Publication date
2025
Publisher
BioMed Central
e-ISSN
14712407
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3216559604
Copyright
© 2025. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.