Do Inflammatory and Nutritional Markers Predict Prognosis in Metastatic Non-Small Cell Lung Cancer Patients Receiving Nivolumab

炎症和营养标志物能否预测接受纳武利尤单抗治疗的转移性非小细胞肺癌患者的预后?

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Abstract

OBJECTIVE: To investigate the prognostic value of clinical and inflammatory markers predicting response to nivolumab in patients with metastatic non-small cell lung cancer (NSCLC). MATERIALS AND METHODS: Clinical, demographic and laboratory data of stage 4 NSCLC patients who were treated between February 2021 and November 2024 were analyzed. Before nivolumab treatment, inflammatory markers such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), prognostic nutritional index (PNI), hemoglobin-albumin-lymphocyte-platelet score (HALP), neutrophil-to-eosinophil ratio (NER) and C-reactive protein-to-albumin ratio (CAR) were calculated. Factors affecting overall survival (OS) were determined by Cox regression analysis, and ROC curve analysis was used to calculate the ideal cut-off. RESULTS: The study included 229 NSCLC patients and the median age of the patients was 63 years. The majority were male (84.3%) and had right lung localization (56.8%). Median overall survival was calculated as 21.2 months (95% CI: 17.4-25.0). In univariate cox-regression analysis, the presence of brain metastases (HR: 2.08; p=0.004), liver metastases (HR: 1.85; p=0.014) and adrenal metastases (HR: 1.64; p=0.045) negatively affected the treatment response. Inflammatory markers such as high NLR (HR: 2.04; p<0.001), high SII (HR: 1.96; p<0.001), high CAR (HR: 1.84; p=0.001), high PLR (HR: 1.60; p=0.009) and high SIRI (HR: 1.51; p=0.021), low PNI (HR: 0.48; p<0.001), low HALP (HR: 0.49; p<0.001) and low LMR (HR: 0.65; p=0.016) were associated with poor prognosis. In multivariate analysis, the presence of brain metastasis (HR: 2.84; p<0.001), adrenal metastasis (HR: 1.64; p=0.046) and low PNI (HR: 0.44; p<0.001) together predicted poor prognosis and formed a statistical model on treatment response. CONCLUSION: In patients with metastatic NSCLC, nivolumab treatment response is predicted by inflammatory markers and the presence of brain and adrenal metastases. It was concluded that low PNI among inflammatory markers is a strong prognostic indicator in this patient group.

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