ArticleCancer control : journal of the Moffitt Cancer Center
High Expression of NLR and SII in patients With Nasopharyngeal Carcinoma as Potential Prognostic Observations.
Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic significance of inflammation-based markers in nasopharyngeal carcinoma: a systematic review and meta-analysis.Frontiers in oncology · 2026Pooled it
- Baseline neutrophil-to-lymphocyte ratio as a prognostic biomarker in advanced non-small cell lung cancer patients treated with immune checkpoint inhibitors: a systematic review and meta-analysis.Translational cancer research · 2026Article
- Neutrophils in nasopharyngeal carcinoma: from mechanisms to therapeutics.Journal of translational medicine · 2026Review
- Analysis of Prognostic Factors for Internal Carotid Artery Invasion by Nasopharyngeal Carcinoma.Cancers · 2025Article
- A nomogram with the peripheral blood neutrophil-to-lymphocyte ratio before treatment predicts the survival of patients with nasopharyngeal carcinoma.Frontiers in oncology · 2025Article
- Peripheral blood neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and systemic immune-inflammation index values as prognostic predictors for non-small cell lung carcinoma.American journal of translational research · 2025Article
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5 authors.
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Abstract
purposeTo assess the value of pretreatment neutrophil-to-lymphocyte ratio (NLR) and systemic immunoinflammatory index (SII) in the prognosis of nasopharyngeal carcinoma (NPC) patients.
methodsThis retrospective study analyzed a total of 185 NPC patients who visited the clinic from June 2015 to December 2018 and were selected as study subjects. The NLR and SII were calculated based on the collection of demographic information, clinical characteristics, and pre-treatment lymphocyte counts, neutrophil counts, and platelet counts. Predictive efficacy was evaluated using the receiver operating characteristic (ROC) curve, and survival analysis was performed through life table methods and Cox risk-proportional regression.
resultsUsing the X-tile software, significant differences were found in clinical factors among NPC patients based on NLR (>2.91) and SII (>535.47). Age, TNM staging, SII, and NLR were identified as independent prognostic factors in a Cox regression analysis. SII had the highest area under the curve (AUC) for predicting 1-year survival, TNM staging had the highest AUC for predicting 3-year survival, and NLR had the highest AUC for predicting 5-year survival. The combined model showed superior predictive accuracy across all time points.
conclusionNLR and SII, as biomarkers of inflammation and immune status, have significant clinical applications in the prognostic assessment of NPC. The integrated prediction model combining age, TNM staging, SII, and NLR significantly improved the accuracy of survival prediction and provided a reliable basis for individualised treatment of NPC.
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