AI Article Synopsis

  • The study investigates the best first-line immunotherapy options for patients with advanced non-squamous non-small cell lung cancer (NS-NSCLC) with high PD-L1 expression (≥50%).
  • A Bayesian network meta-analysis of 11 randomized controlled trials involving 2037 patients was conducted to compare different immunotherapy combinations.
  • Results indicate that pembrolizumab plus chemotherapy offers the best overall survival, while tislelizumab and sintilimab in combination with chemotherapy are favored for progression-free survival, suggesting these combinations are effective treatment options.

Article Abstract

Introduction: The optimal first-line immunotherapy regimen for advanced non-squamous non-small cell lung cancer (NS-NSCLC) patients with programmed cell death ligand 1 (PD-L1) expression ≥ 50% remains unclear. Our aim is to determine the most effective treatment regimen through a network meta-analysis (NMA) comparing these treatments.

Methods: A systematic search was performed in PubMed, Cochrane Library, Web of Science, and Embase databases, and a Bayesian network meta-analysis was conducted. To ensure transparency, the study was registered in the International Prospective Register of Systematic Reviews (CRD42022349712).

Results: The analysis included 11 randomized controlled trials (RCTs) with 2037 patients and 12 immunotherapy combinations. ICI-ICI, ICI alone, and chemotherapy-ICI showed significant advantages over chemotherapy in terms of overall survival (OS) and progression-free survival (PFS). Pembrolizumab plus chemotherapy showed the best OS results compared to chemotherapy. Tislelizumab plus chemotherapy and sintilimab plus chemotherapy provided the best PFS results.

Conclusions: For NS-NSCLC patients with PD-L1 ≥ 50%, pembrolizumab plus chemotherapy, tislelizumab plus chemotherapy, and sintilimab plus chemotherapy are recommended as good treatment options based on the results of this Network meta-analysis (NMA).

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10464425PMC
http://dx.doi.org/10.1186/s12885-023-11285-4DOI Listing

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