Complete Blood Count-Based Biomarkers as Predictors of Clinical Outcomes in Advanced Non-Small Cell Lung Cancer Patients with PD-L1 < 50% Treated with First-Line Chemoimmunotherapy.

Background: The aim of the study was to investigate a series of complete blood cell count-based biomarkers of systemic inflammation as predictors of clinical outcomes in patients who underwent first-line chemoimmunotherapy for advanced NSCLC. Methods: Consecutive patients with pathologically diagnos...

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Publicado en:Current Oncology Vol. 31; no. 9; pp. 4955 - 4968
Autores principales: Putzu, Carlo, Serra, Riccardo, Campus, Rachele, Fadda, Giovanni Maria, Sini, Claudio, Marongiu, Andrea, Ginesu, Giorgio Carlo, Fois, Alessandro Giuseppe, Palmieri, Giuseppe, Zinellu, Angelo, Cossu, Antonio, Paliogiannis, Panagiotis
Formato: Journal Article
Publicado: MDPI Sep2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2024
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        10.3390/curroncol31090367
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        atl: Complete Blood Count-Based Biomarkers as Predictors of Clinical Outcomes in Advanced Non-Small Cell Lung Cancer Patients with PD-L1 < 50% Treated with First-Line Chemoimmunotherapy.
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        au:
          Putzu, Carlo
          Serra, Riccardo
          Campus, Rachele
          Fadda, Giovanni Maria
          Sini, Claudio
          Marongiu, Andrea
          Ginesu, Giorgio Carlo
          Fois, Alessandro Giuseppe
          Palmieri, Giuseppe
          Zinellu, Angelo
          Cossu, Antonio
          Paliogiannis, Panagiotis
        affil: Medical Oncology Unit, University Hospital of Sassari (AOU SS), Via Enrico De Nicola 39, 07100 Sassari, Italy
      sug:
      ab: Background: The aim of the study was to investigate a series of complete blood cell count-based biomarkers of systemic inflammation as predictors of clinical outcomes in patients who underwent first-line chemoimmunotherapy for advanced NSCLC. Methods: Consecutive patients with pathologically diagnosed stage III/IV NSCLC and PD-L1 < 50% who underwent first-line chemoimmunotherapy were retrospectively enrolled. The clinical outcomes used for biomarker evaluation were Objective Response Rate (ORR) and Overall Survival (OS). Results: Non-responders had significantly higher values of neutrophil to lymphocyte ratio (NLR, median: 5.36; IQR: 2.78–10.82 vs. 3.31; IQR: 2.15–4.12, p = 0.019), neutrophil to monocyte ratio (NMR, median: 14.00; IQR: 8.82–21.20 vs. 9.20; IQR: 7.45–11.20, p = 0.013), and systemic inflammation index (SII, median: 1395; IQR: 929–3334 vs. 945; IQR: 552–1373, p = 0.025), but only NLR and NMR remained independently associated with clinical response in multivariate logistic regression. In the univariate analysis, white blood cells (OR:1.2202; 95% CI: 1.0339–1.4400, p = 0.019), neutrophils (OR:1.2916; 95% CI: 1.0692–1.5604, p = 0.008), NLR (OR:1.3601: 95% CI: 1.0949–1.6896, p = 0.005) and NMR (OR:1.2159; 95% CI: 1.00396–1.4221, p = 0.015) were significantly associated with survival; Cox regression models confirmed that neutrophils, NLR, and MLR were independently associated with survival; NLR, at a cut-off value of 4.0, showed the better AUC (0.749) in predicting OS. Conclusions: Baseline complete blood cell count biomarkers, especially the NLR, can predict clinical outcomes in patients with advanced NSCLC treated with first-line chemoimmunotherapy.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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