BACKGROUND: Immune checkpoint inhibitors (ICIs) hold a great promise in treatment of non-small cell lung cancer (NSCLC), while only a portion of patients benefited from the treatment, and others could not achieve optimal therapeutic effects from initial immunotherapy, even for those patients with PD-L1 (Programed cell death ligand 1) tested positive. However, the clinical markers for the selection of patients who will benefit from ICIs combination treatment beforehand are largely unknown. OBJECTIVES: The purpose of this study was to explore the non-invasive biomarkers that can predict the efficacy of immune combination therapy in advanced/metastatic NSCLC patients. DESIGN: This study employed a retrospective cohort design to analyze dual predictive biomarkers in advanced non-small cell lung cancer (NSCLC) patients with immune combination therapy. METHOD: An analysis was conducted on baseline information of 144 patients with advanced/metastatic NSCLC who received ICIs treatment from the November of 2018 to the January of 2023 in Beijing Chest Hospital. We established a scoring group chart to make quantitative prediction for overall survival (OS) and progression-free survival (PFS) based on 4 variables, and set up the nomogram model as well as Decision curve analysis (DCA) to assess clinical benefits of ICIs combination in treatment of patients with advanced/metastatic NSCLC. RESULTS: We found that serum globulin (GLB) >
26.6 (g/L) (HR = 1.865, CONCLUSION: In patients with advanced/metastatic NSCLC receiving ICIs combination treatment, the GLB, ANC, bone metastasis, and PD-L1 may serve as useful predictive markers for the prognosis of NSCLC patients with ICIs combination treatment.