Wei-Xiong Xia1, Hai-Bo Zhang1, Jun-Li Shi1, Xing Lu1, Lin Wang1, Yan-Fang Ye1, Ka-Jia Cao1, Chao-Nan Qian1, Xiang Guo2, Yan-Qun Xiang3. 1. Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, Guangzhou 510060, PR China; State Key Laboratory of Oncology in Southern China, Guangzhou 510060, PR China. 2. Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, Guangzhou 510060, PR China; State Key Laboratory of Oncology in Southern China, Guangzhou 510060, PR China. Electronic address: guoxiang@sysucc.org.cn. 3. Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, Guangzhou 510060, PR China; State Key Laboratory of Oncology in Southern China, Guangzhou 510060, PR China. Electronic address: xiangyq@sysucc.org.cn.
Abstract
PURPOSE: Chronic inflammation plays an important role in nasopharyngeal carcinoma (NPC) development and progression. Aim of this study is to determine whether inflammation-related parameters predict distant metastasis in NPC patients. MATERIALS AND METHODS: 335 newly diagnosed non-metastatic NPC patients were recruited. The values of the C-reactive protein (CRP), lactate dehydrogenase, albumin, globulin, white blood cell and neutrophil at baseline were measured. RESULTS: Among the above six parameters, only CRP was independently associated with distant metastasis-free survival (DMFS). CRP concentration of advanced T-/TNM-classification patients was higher than those with early classification (P = 0.001). Higher-CRP (CRP ⩾ 2.46 mg/L) predicted shorter overall survival, disease-free survival and DMFS than lower-CRP (CRP < 2.46 mg/L). In a multivariable model, higher-CRP and advanced N-classification were independent predictors of distant metastasis. On the basis of these two parameters, a prognostic NC-model was developed as following: (1) low-risk (early N-classification and lower-CRP); (2) intermediate-risk (advanced N-classification or higher-CRP) and (3) the high-risk distant metastasis (advanced N-classification and higher-CRP). When compared with the low-risk group, the hazard ratios (HRs) for distant metastasis and death for the intermediate-/high-risk patients were 3.6/16.1 and 2.26/7.61, respectively (both P < 0.001). CONCLUSION: We developed a new prognostic model based on CRP and N-classification for predicting distant metastasis and death of NPC patients, which may facilitate patient counselling and individualised treatment.
PURPOSE:Chronic inflammation plays an important role in nasopharyngeal carcinoma (NPC) development and progression. Aim of this study is to determine whether inflammation-related parameters predict distant metastasis in NPCpatients. MATERIALS AND METHODS: 335 newly diagnosed non-metastatic NPCpatients were recruited. The values of the C-reactive protein (CRP), lactate dehydrogenase, albumin, globulin, white blood cell and neutrophil at baseline were measured. RESULTS: Among the above six parameters, only CRP was independently associated with distant metastasis-free survival (DMFS). CRP concentration of advanced T-/TNM-classification patients was higher than those with early classification (P = 0.001). Higher-CRP (CRP ⩾ 2.46 mg/L) predicted shorter overall survival, disease-free survival and DMFS than lower-CRP (CRP < 2.46 mg/L). In a multivariable model, higher-CRP and advanced N-classification were independent predictors of distant metastasis. On the basis of these two parameters, a prognostic NC-model was developed as following: (1) low-risk (early N-classification and lower-CRP); (2) intermediate-risk (advanced N-classification or higher-CRP) and (3) the high-risk distant metastasis (advanced N-classification and higher-CRP). When compared with the low-risk group, the hazard ratios (HRs) for distant metastasis and death for the intermediate-/high-risk patients were 3.6/16.1 and 2.26/7.61, respectively (both P < 0.001). CONCLUSION: We developed a new prognostic model based on CRP and N-classification for predicting distant metastasis and death of NPCpatients, which may facilitate patient counselling and individualised treatment.
Authors: Y C Zeng; R Wu; Y P Xiao; F Chi; M Xue; Z Y Zhang; R Xing; W Z Zhong; S L Wang; X Tian; W Chen; J J Chen; L N Wu Journal: Curr Oncol Date: 2015-02 Impact factor: 3.677