Prognostic significance of preoperative neutrophil-to-lymphocyte ratio in papillary renal cell carcinoma patients after receiving curative surgery based on a retrospective cohort
Abstract Background: Inflammatory response biomarkers have been studied as promising prognostic factors in renal cell carcinoma (RCC), but there were few studies focusing on the papillary renal cell carcinoma (PRCC), this study was performed to evaluate the prognostic value of preoperative neutrophil-to-lymphocyte ratio (NLR) in PRCC patients. Methods: Totally 90 PRCC patients after surgical treatment selected from 284 non-clear renal cell carcinoma (nccRCC) were enrolled from our institution between 2012 and 2019. The optimal cutoff value of NLR was assessed by receiver operating curve (ROC), Kaplan–Meier method and Cox's proportional hazards regression models were performed to analyze association of NLR to overall survival (OS). In addition, the abilities of tumor-node-metastasis (TNM) stage, NLR and NLR-TNM system in predicting survival were compared by ROC curves. Results: 2.39 as the threshold value of NLR was determined by ROC curve in evaluating OS. Patients with NLR≥2.39 were associated with advanced TNM stage (P<0.001), larger tumors (P<0.05) and hypoalbuminemia (P<0.05) compared to the low NLR group, these patients were also significantly exhibited worse overall survival outcomes(P<0.05). NLR was a significantly independent prognostic indicator by univariate and multivariate analyses (HR = 5.870, P<0.05). Furthermore, TNM stage and NLR were integrated and the area under curve (AUC) of NLR-TNM system was larger than that of TNM system when predicting overall survival (0.801 VS 0.761), but there was no difference between them (P=0.413).Conclusion: A high preoperative NLR was associated with poor clinical and pathologic parameters of patients with PRCC, moreover, NLR was also an independent prognostic factor of OS for patients with PRCC. The model of NLR-TNM system integrated NLR with TNM stage could improve the ability of predicting overall survival.