Shenghua Song1,2,3, Hong Chen1,2,3, Xin Dou4, Kongcheng Wang5, Jing Yan5, Chenjie Yu6,7,8. 1. Department of Otorhinolaryngology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Jiangsu Provincial Key Medical Discipline, No.321 Zhongshan Road, Nanjing, 210008, People's Republic of China. 2. Department of Otorhinolaryngology, Drum Tower Clinical Medical College, Nanjing Medical University, No.321 Zhongshan Road, Nanjing, 210008, People's Republic of China. 3. Research Institute of Otorhinolaryngology, Drum Tower Hospital, No.321 Zhongshan Road, Nanjing, 210008, People's Republic of China. 4. Department of Radiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, No.321 Zhongshan Road, Nanjing, 210008, People's Republic of China. 5. Department of Oncology, Affiliated Drum Tower Hospital of Nanjing University Medical School, No.321 Zhongshan Road, Nanjing, 210008, People's Republic of China. 6. Department of Otorhinolaryngology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Jiangsu Provincial Key Medical Discipline, No.321 Zhongshan Road, Nanjing, 210008, People's Republic of China. entphd@163.com. 7. Department of Otorhinolaryngology, Drum Tower Clinical Medical College, Nanjing Medical University, No.321 Zhongshan Road, Nanjing, 210008, People's Republic of China. entphd@163.com. 8. Research Institute of Otorhinolaryngology, Drum Tower Hospital, No.321 Zhongshan Road, Nanjing, 210008, People's Republic of China. entphd@163.com.
Abstract
OBJECTIVE: The aim of this analysis was to evaluate the prognostic significance of inflammatory biomarkers (NLR, dNLR, PLR and LMR) in NPC patients. METHODS: This was a retrospective analysis of 111 NPC patients from January 2013 and December 2016. Receiver-operating characteristic (ROC) curve was plotted to determine the cut-off values of these inflammatory biomarkers. Univariate analysis and multivariate Cox regression model were used to evaluate the association between these parameters and progression-free survival (PFS) and overall survival (OS). RESULTS: The optimal critical value of NLR was 2.02, by which cases were divided into high NLR group (NLR ≥ 2.02) and low NLR group (NLR < 2.02). The elevated NLR was significantly associated with decreased OS (P = 0.009) and remained significant in multivariate analysis (HR 8.48, 95% CI 1.69-42.46, P = 0.009). CONCLUSIONS: The before treatment NLR may be an independent prognostic biomarker for OS in patients with NPC. NLR, dNLR and PLR might be a useful complement to TNM staging in the prognosis evaluation of NPC patients.
OBJECTIVE: The aim of this analysis was to evaluate the prognostic significance of inflammatory biomarkers (NLR, dNLR, PLR and LMR) in NPC patients. METHODS: This was a retrospective analysis of 111 NPC patients from January 2013 and December 2016. Receiver-operating characteristic (ROC) curve was plotted to determine the cut-off values of these inflammatory biomarkers. Univariate analysis and multivariate Cox regression model were used to evaluate the association between these parameters and progression-free survival (PFS) and overall survival (OS). RESULTS: The optimal critical value of NLR was 2.02, by which cases were divided into high NLR group (NLR ≥ 2.02) and low NLR group (NLR < 2.02). The elevated NLR was significantly associated with decreased OS (P = 0.009) and remained significant in multivariate analysis (HR 8.48, 95% CI 1.69-42.46, P = 0.009). CONCLUSIONS: The before treatment NLR may be an independent prognostic biomarker for OS in patients with NPC. NLR, dNLR and PLR might be a useful complement to TNM staging in the prognosis evaluation of NPC patients.