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Background: Lung cancer is the leading cause of cancer‐related deaths. Although epidermal growth factor receptor tyrosine kinase inhibitors (EGFR‐TKIs) are effective for advanced non‐small cell lung cancer (NSCLC) harboring EGFR mutations, some patients experience little or no response. The Glasgow prognostic score (GPS) is an inflammation‐related score based on C‐reactive protein (CRP) and albumin concentrations, and has prognostic value in various cancer settings. This study aimed to evaluate whether GPS could predict response of NSCLC to EGFR‐TKIs. Methods: This retrospective multicenter study evaluated patients with NSCLC harboring EGFR mutations who received EGFR‐TKI monotherapy from October 2006 to December 2016. GPS values were determined using CRP and albumin concentrations from before initiation of EGFR‐TKIs. The Kaplan‐Meier method and Cox proportional hazard models were used to evaluate progression‐free survival (PFS) and overall survival (OS). Results: In 214 patients, 141, 43, and two patients had GPS values of 0, 1, and 2, respectively. The GPS independently predicted the efficacy of EGFR‐TKIs; good GPS (0–1) conferred significantly better PFS (hazard ratio [HR]: 0.59, 95% confidence interval [CI]: 0.38–0.96, P = 0.03) and OS (HR: 0.56, 95% CI: 0.33–0.96, P = 0.03). Multivariate analysis confirmed that a good GPS (0–1) independently predicted good PFS and OS among patients who had PS of 0–1. Good GPS (0–1) independently predicted good OS among patients receiving treatment in first‐line settings. Conclusions: The GPS independently predicted the efficacy of EGFR‐TKIs for EGFR‐mutated NSCLC; however, further studies are needed to validate our findings. Key points: Significant findings of the study: Glasgow prognostic score (GPS) independently predicted the efficacy of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR‐TKIs) treatment for EGFR‐mutated NSCLC. What this study adds: The findings presented in this paper will help to identify patients who will be expected to experience limited or no response to EGFR‐TKI treatment by using GPS. [ABSTRACT FROM AUTHOR]

Objectives: Pretreatment biomarkers are needed to identify patients with non‐small‐cell lung cancer (NSCLC) likely to have worse survival. This ensures that only patients with a real chance of benefit receive immune checkpoint inhibitor (ICI) treatment. In this study, we examined the associations of baseline nutritional and inflammatory biomarkers with overall survival in a real‐world cohort of NSCLC patients who received ICIs. Materials and Methods: We used prospectively collected data from the OncoLifeS data biobank. The cohort included 500 advanced‐stage NSCLC patients treated with ICIs from May 2015 to June 2021. Biomarkers were evaluated within 2 weeks before ICI treatment: neutrophil‐to‐lymphocyte ratio, C‐reactive protein (CRP), Glasgow prognostic score, CRP/albumin ratio (CAR), prognostic nutritional index (PNI), and advanced lung cancer inflammation index. For each biomarker, low‐ and high‐risk groups were defined using literature‐based cut‐offs. Adjusted hazard ratios (aHRs) and 95% confidence intervals (95% CIs) were estimated using adjusted survival analysis. Results: Most patients were male (60.8%), the mean baseline age was 65 ± 9 years, and 88% had stage IV disease. For each biomarker, low‐risk patients had better overall survival (all, p < 0.001), with CAR and PNI showing the strongest associations. In multivariable analyses a combined CAR/PNI risk score had a stronger association with overall survival (aHR 3.09, 95% CI 2.36–4.06) than CAR alone (aHR 2.22, 95% CI 1.79–2.76) or PNI alone (aHR 2.09, 95% CI 1.66–2.61). Conclusion: These results highlight the potential value of nutritional and inflammatory biomarkers, in particular CAR and PNI, in identifying NSCLC patients with highest mortality risk before starting ICI treatment. [ABSTRACT FROM AUTHOR]