Prognostic value of pretreatment systemic immune-inflammation index and lactate dydrogenasein nasopharyngeal carcinoma
10.3760/cma.j.cn112152-20201022-00923
- VernacularTitle:治疗前系统性全身免疫炎性指标和乳酸脱氢酶对鼻咽癌预后的预测价值
- Author:
Fengge ZHOU
1
;
Liting LIU
;
Xiaodong HUANG
;
Shiran SUN
;
Xuesong CHEN
;
Qiuyan CHEN
;
Linquan TANG
;
Haiqiang MAI
;
Kai WANG
;
Yuan QU
;
Runye WU
;
Ye ZHANG
;
Qingfeng LIU
;
Jianghu ZHANG
;
Jingwei LUO
;
Jianping XIAO
;
Li GAO
;
Guozhen XU
;
Jingbo WANG
;
Junlin YI
Author Information
1. 国家癌症中心 国家肿瘤临床医学研究中心 中国医学科学院北京协和医学院肿瘤医院放疗科，北京 100021
- Keywords:
Nasopharyngeal neoplasms;
Systemic immune-inflammation index;
Lactate dehydrogenase;
Prognosis
- From:
Chinese Journal of Oncology
2022;44(8):842-850
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the prognostic value of pretreatment systemic immune-inflammation index (SII) and lactate dehydrogenase (LDH) in non-metastatic nasopharyngeal carcinoma (NPC).Methods:We retrospectively collected the data of 839 patients with non-metastatic NPC from National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Sun Yat-sen University Cancer Center between January 2007 and October 2015. All patients received intensity modulated radiation based treatment. Optimal cutoff value of SII and LDH were determined by X-title software. The association between SII, LDH and clinical prognosis of non-metastatic NPC patients were analyzed. Kaplan-Meier method was used for survival analysis, and Log rank test was used for comparison of survival rates between groups. Propensity score matching (PSM) analysis was carried out to minimize the effects of confounding factors. The risk stratification model of prognosis by combining N stage, SII and LDH was constructed to compare the prognosis of patients in high risk group, middle risk group and low risk group, and the receiver operating characteristic (ROC) curve analysis was used to evaluate its prognostic value.Results:The optimal cutoff value of SII is 447.2×10 9/L for predicting the 5-year overall survival (OS) of NPC patients, and the best cutoff value of LDH is 198.9 U/L. The proportion of patients with stage T3-4 and stage III-IVB in high SII group was higher than that in low SII group ( P<0.001). Multivariate Cox regression analysis showed that N stage, SII and LDH were independent factors of OS, progression-free survival (PFS) and distant metastasis-free survival (DMFS) of NPC patients (N stage, HR=1.705, 95% CI: 1.247-2.332; HR=1.755, 95% CI: 1.342-2.295; HR=2.161, 95% CI: 1.515-3.082. SII, HR=1.525, 95% CI: 1.097-2.119; HR=1.518, 95% CI: 1.150-2.004; HR=1.837, 95% CI: 1.272-2.653. LDH, HR=2.041, 95% CI: 1.403-2.968; HR=1.725, 95% CI: 1.233-2.414; HR=2.492, 95% CI: 1.690-3.672, respectively). After PSM, SII was still an independent prognostic factor of OS, PFS and DMFS in NPC patients ( HR=1.52, 95% CI: 1.09-2.12; HR=1.52, 95% CI: 1.15-2.00; HR=1.82, 95% CI: 1.26-2.63, respectively). Combined with N 2-3 stage, SII (>447.2×10 9/L), and LDH (>198.9 U/L), patients were divided into high-(3 risk factors), intermediate- (2 risk factors) and low-risk (0-1 risk factors) groups. The 5-year OS rates of patients in low-, intermediate- and high-risk groups were 86.1%, 79.8% and 41.2% respectively, the 5-year PFS rates were 80.7%, 70.2% and 33.9% respectively, and the 5-year DMFS rates were 88.9%, 79.2% and 47.5% respectively. There were significant differences in OS, PFS and DMFS among these three groups ( P<0.001). Distant metastasis was the main failure pattern in low-, intermediate- and high-risk groups, and the highest rate of distant metastasis was 83.3% (15/31) in high-risk group. ROC curve of the risk stratification model for predicting 5-year OS of NPC patients is 0.610, which is higher than TNM stage (0.609), SII (0.574) and LDH (0.558). Conclusions:Pretreatment SII and LDH are significantly correlated with the prognosis of patients with non-metastatic NPC. The combination of SII, LDH and N stage can stratify the prognostic risk of NPC patients. The risk stratification model can enhance the accuracy of prognosis.
