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Role of combining neutrophil-to-lymphocyte ratio and pretreatment body mass index in predicting progression-free survival in patients with non-small cell lung cancer treated with nivolumab
Identifying markers capable of predicting outcomes in lung cancer patients treated with nivolumab represents a growing research interest. The combination of neutrophil-to-lymphocyte ratio (NLR) and body mass index (BMI) may help predict treatment efficacy. Thus, the present study aimed to investigat...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8014982/ https://www.ncbi.nlm.nih.gov/pubmed/33815599 http://dx.doi.org/10.3892/etm.2021.9958 |
Sumario: | Identifying markers capable of predicting outcomes in lung cancer patients treated with nivolumab represents a growing research interest. The combination of neutrophil-to-lymphocyte ratio (NLR) and body mass index (BMI) may help predict treatment efficacy. Thus, the present study aimed to investigate the influence of NLR and BMI on progression-free survival (PFS) in non-small-cell lung cancer (NSCLC) patients treated with nivolumab. A retrospective study was made on 80 patients with NSCLC that were treated with nivolumab at the OncoHelp Oncology Center, Timisoara, Romania after platinum-based chemotherapy, from January 2018 to April 2020. Patients were administered nivolumab at a dose of 3 mg/m(2) or 240 mg total dose, every 2 weeks. The predictive impact of NLR (baseline at 2 and 4 weeks after the start of nivolumab) and BMI for disease progression was assessed. Median PFS for subjects with NLR <3 before treatment was 18.5 weeks, while in subjects with NLR ≥3 was 14 weeks (P=0.50). Median PFS for subjects with NLR2 <3 at 2 weeks after treatment was 21 weeks, while in subjects with NLR2 ≥3, PFS was 14 weeks (P=0.17). Median PFS for subjects with NLR4 <3 at 4 weeks after treatment was 23 weeks, while in subjects with NLR4 ≥3, PFS was 19 weeks (P=0.33). Multivariate analysis for the association with PFS showed that baseline NLR, male sex and BMI were associated independently, thus we could develop a significant statistical model [AUROC=0.76, 95% CI (0.45-0.89), P=0.03], a new predictive score for PFS. The assessment of NLR and BMI may represent simple and useful biomarkers; combining them and taking into consideration the male sex may predict PFS in patients with advanced NSCLC treated with nivolumab. |
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