PD-L1 Inhibitors as Monotherapy for the First-Line Treatment of Non-Small-Cell Lung Cancer in PD-L1 Positive Patients: A Safety Data Network Meta-Analysis.
María Rosario García CampeloEdurne ArriolaBegoña Campos BaleaMarta López-BreaJosé Fuentes-PraderaJavier de Castro CarpenoCarlos AguadoDiego Pérez ParenteFidel de Oro PulidoPedro Ruiz-GraciaDelvys Rodríguez-AbreuPublished in: Journal of clinical medicine (2021)
This network meta-analysis (NMA) evaluates the safety of first-line programmed death-ligand 1 (PD-L1) inhibitor monotherapy in advanced NSCLC patients compared to platinum-based chemotherapy. We also compared the risk of adverse events (AEs) according to programmed cell death-1 receptor (PD-1) or PD-L1 inhibitors therapy. To that end, we conducted a series of metanalyses (MAs) using data from six phase III clinical trials, including 4053 patients. Our results show a reduced risk of any grade treatment-related AEs (risk ratio (RR) = 0.722 95% CI: 0.667-0.783, p = 0.002), and grade 3-5 AEs (RR = 0.406 95% CI: 0.340-0.485, p = 0.023) in immunotherapy as compared to chemotherapy. In contrast, a higher risk of immune-related AEs (irAEs) was estimated for immunotherapy versus chemotherapy. The subgroup MAs comparing PD-L1 to PD-1 inhibitors, determined a lower risk of AEs leading to treatment discontinuation in the anti-PD-L1 subgroup (RR = 0.47 95% CI: 0.29-0.75, p = 0.001); however, this statistically significant difference between anti-PD-L1 and anti-PD-1 subgroups was not reached for other safety outcomes analyzed. In conclusion, our findings show that PD-L1 inhibitor monotherapy improves safety outcomes in the 1L treatment of advanced NSCLC patients as compared to chemotherapy except for irAEs.
Keyphrases
- end stage renal disease
- systematic review
- clinical trial
- ejection fraction
- newly diagnosed
- chronic kidney disease
- phase iii
- stem cells
- combination therapy
- peritoneal dialysis
- magnetic resonance
- open label
- magnetic resonance imaging
- radiation therapy
- computed tomography
- type diabetes
- skeletal muscle
- adipose tissue
- big data
- metabolic syndrome
- study protocol
- advanced non small cell lung cancer
- data analysis
- tyrosine kinase
- rectal cancer