The Geriatric Nutritional Risk Index as a prognostic factor in patients treated with immune checkpoint inhibitors with non-small-cell lung cancer

Abstract

Background: Globally, non-small cell lung cancer (NSCLC) is a leading factor in cancer-related mortality. Additionally, the Geriatric Nutritional Risk Index (GNRI) has been assessed as a predictive and prognostic indicator in various types of carcinomas. Our study aims to assess the prognostic importance of GNRI computed at diagnosis in NSCLC patients receiving immune checkpoint inhibitors (ICIs). Methods: The study evaluated 148 patients who underwent immunotherapy for NSCLC from January 1, 2018, through December 31, 2021, retrospectively. Patients combined with other malignant tumors or severe comorbidities were excluded from the study. The receiver operating characteristic (ROC) curve was employed in regulating the ideal cutoff worth of GNRI. Survival outcomes were evaluated through Kaplan-Meier analysis. Following this, both univariate and multivariate analyses were conducted utilizing Cox regression analysis to identify any potential factors that may influence the survival outcomes. Results: The cutoff point for GNRI was 108.15 [area under the curve (AUC) =0.575, P=0.048]. Further analysis using the Kaplan-Meier method demonstrated that individuals in the high GNRI group had significantly longer progression-free survival (PFS) and overall survival (OS) compared to those in the low GNRI group (P=0.02, P=0.01). The further stratified study showed that GNRI had greater predictive value in tumor node metastasis (TNM) stage II–III and elderly (age ≥65 years) NSCLC patients undergoing ICI therapy. The multivariate Cox regression analysis indicated that GNRI [hazard ratio (HR): 0.536, P=0.03], obesity (HR: 16.283, P<0.001), and surgical history (HR: 0.305, P<0.001) were associated with poorer survival rates. Conclusions: Among patients undergoing ICI therapy for NSCLC, GNRI is an effective independent prognostic indicator, and a high GNRI at diagnosis is substantially related with longer PFS and OS. The incorporation of GNRI in pre-treatment evaluations within clinical settings is beneficial.