A Cohort Study on Dual Predictive Markers of Immune Combination Therapy for Advanced Non-Small Cell Lung Cancer.

IF 3.4 Q2 MEDICINE, RESEARCH & EXPERIMENTAL

Biomarker Insights Pub Date : 2025-02-14 eCollection Date: 2025-01-01 DOI:10.1177/11772719251319641

Maike Zheng, Mingming Hu, Yanxia Liu, Xiaomi Li, Guirong Wang, Tongmei Zhang, Yan Zhao

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Abstract

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, P = .002), absolute neutrophil counts (ANC) (10⁹/L) > 5 (HR = 2.146, P < .001), and bone metastasis (HR = 2.148, P < .001) were independent factors affecting the PFS of NSCLC patients. GLB > 26.6 (g/L) (HR = 1.741, P = .018), ANC (10⁹/L) >5 (HR = 1.807, P = .008), bone metastasis (HR = 1.651, P = .002), and PD-L1 Negative (HR = 2.432, P = .032) were independent factors affecting the OS of NSCLC patients. Same variables and cut-off value have good predictive efficacy in both PFS and OS.

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.

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