Introduction: Both pembrolizumab (P) as a monotherapy or in combination with platinum-based chemotherapy (PCT) represent standard first-line treatment options for advanced non-small cell lung cancer (aNSCLC) with PD-L1 tumor proportion score (TPS)≥50%. No predictive biomarkers exist to guide treatment decisions.
Methods: 423 consecutive patients with EGFR/ALK/ROS1-wild-type PD-L1 TPS≥50% aNSCLC receiving P (n = 302) or PCT (n = 121) as a first-line treatment were identified in the electronic databases of 5 Israeli cancer centers. Overall survival (OS, months [mo]) was assessed in correlation with blood biomarkers (BB: NLR, dNLR, PLR, SII, LIPI, ALI); a predictive score was developed.
Results: In the propensity score matching analysis (n = 236; 118 patients in each group matched for age, sex and ECOG PS), mOS was 17.2mo (95% CI, 13.2-36.5) and 21.3mo (95% CI, 14.8-NR) in groups P and PCT, respectively (P = .44). In group P, NLR, dNLR, PLR, LIPI, and ALI significantly correlated with OS in uni- and multivariate COX regression analyses (P < .05), whereas in group PCT, none of the BB demonstrated a significant correlation. A predictive score was developed (each parameter receiving one point): age≥65, female sex, never-smoking status, adenocarcinoma histology, dNLR≥3. In patients with predictive score 3-5, OS was significantly longer with PCT as compared to P: mOS NR (95% CI, 15.3-NR) and 8.7mo (95% CI, 5.8-13.7) (P = .0005), while OS didn't differ significantly in patients with predictive score 0-2 (P = .61).
Conclusion: With the limitations of the retrospective analysis, the proposed dNLR-based score appears to predict OS with P and PCT.
Keywords: Biomarkers; Dnlr; Immune check-point inhibitors; NSCLC; PD-L1 high; dNLR.
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