| Journal of the National Cancer Center | |
| Pretreatment systemic immune-inflammation index predicts survival for non-metastatic nasopharyngeal carcinoma: two independent institutional studies | |
| Ye Zhang1  Shiran Sun1  Li Gao1  Qiuyan Chen2  Jingbo Wang2  Jianghu Zhang2  Xuesong Chen3  Qingfeng Liu3  Guozhen Xu3  Runye Wu4  Xiaodong Huang4  Jianping Xiao4  Kai Wang5  Linquan Tang5  Fengge Zhou5  Haiqiang Mai5  Yuan Qu6  Junlin Yi6  Liting Liu6  Jingwei Luo6  | |
| [1] Collaborative Innovation Center for Cancer Medicine;Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, Guangzhou 510060, China;Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou 510060, China;State Key Laboratory of Oncology in South China;Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China;Sun Yat-Sen University Cancer Center; | |
| 关键词: Nasopharyngeal carcinoma; Non-metastatic cancer; Systemic immune-inflammation index; Prognostic risk stratification; Validation; | |
| DOI : | |
| 来源: DOAJ | |
【 摘 要 】
Objective: This study aimed to evaluate the prognostic value of the pretreatment systemic immune-inflammation index (SII) in non-metastatic nasopharyngeal carcinoma (NPC). Methods: We retrospectively analyzed the data of 839 patients with non-metastatic NPC recruited from two independent institutions. The training-set cohort and the external validation-set cohort was comprised of 459 and 380 patients from each institution, respectively. The optimal cut-off value of SII was determined, and a prognostic risk stratification model was developed based on the training cohort and further assessed in the validation cohort. The propensity score matching (PSM) method was applied to minimize the confounding effects of unbalanced covariables. Results: The optimal cut-off value of the SII in the training cohort was 686, which was confirmed using the validation cohort. Multivariate analysis showed that both before and after PSM, SII values > 686 were independently associated with worse progression-free survival (PFS) ratio in both cohorts (before PSM, P = 0.008 and P = 0.008; after PSM, P = 0.008 and P = 0.007, respectively). Based on the analysis of independent prognostic factors of SII and N stage, we developed a categorical risk stratification model, which achieved significant discrimination among risk indexes associated with PFS and distant metastasis-free survival (DMFS) in the training cohort. There was no significant difference in PFS between RT alone and combined therapies within the low- and intermediate-risk groups (5-year PFS, 77.5% vs. 75.3%, P = 0.275). Patients in the high-risk group who received concurrent chemoradiotherapy experienced superior PFS compared with those who received other therapies (5-year PFS, 64.9% vs. 40.3%, P = 0.003). Conclusion: Pretreatment SII predicts PFS of patients with non-metastatic NPC. Prognostic risk stratification incorporating SII is instructive for selecting individualized treatment.
【 授权许可】
Unknown