Peripheral inflammatory factors as prognostic predictors for first-line PD-1/PD-L1 inhibitors in advanced non-small cell lung cancer.

Abstract

Immune checkpoint inhibitors (ICIs) have significantly improved the efficacy and prognosis of patients with non-small cell lung cancer (NSCLC). However, there remains a lack of optimal predictive biomarkers for assessing the response of ICIs. This study aimed to evaluate peripheral inflammatory factors as potential predictive biomarkers for NSCLC patients treated with ICIs. We retrospectively analyzed the correlation between peripheral inflammatory factors and the efficacy and prognosis of 124 patients with driver gene-negative advanced NSCLC who received first-line ICIs at our center from September 2018 to June 2022. Progression-free survival (PFS) was estimated using the Kaplan-Meier method. The association between the factors and multiple endpoints were investigated using univariate and multivariate analyses. A total of 124 patients were enrolled in this study. The objective response rate (ORR) was 49.2% and the disease control rate (DCR) was 97.6%, respectively. The median PFS was 12.7 months. The ORR differed statistically between groups based on the NLR, SII, with higher ORR observed in patients with an NLR ratio < 0.68, SII at 6 weeks < 531.26, and SII ratio < 0.74 (p < 0.05). The univariate analysis indicated that ECOG 0-1, smoking, NLR at 6 weeks < 2.72, NLR ratio < 0.68, LMR < 1.34, LMR ratio ≥ 1.38, and SII at 6 weeks < 531.26 were associated with longer PFS (p < 0.05). The multivariate analysis revealed that smoking (p = 0.013), baseline LMR (p = 0.015), and SII at 6 weeks (p = 0.010) were independent predictors of PFS. NLR, LMR, and SII maybe biomarkers for predicting the efficacy and prognosis of first-line ICIs therapy in driver gene-negative advanced NSCLC.