Development and validation of immune inflammation–based index for predicting the clinical outcome in patients with nasopharyngeal carcinoma. Issue 15 (30th June 2020)

• Record Type: Journal Article
• Authors: Zeng, Xiaojiao; Liu, Guohong; Pan, Yunbao; Li, Yirong
• Is Part Of: Journal of cellular and molecular medicine. Volume 24:Issue 15(2020)
• Page Start: 8326
• Page End: 8349
• Publication Date: 2020-06-30
• Subjects: inflammation indicators -- nasopharyngeal carcinoma -- neutrophil‐to‐lymphocyte ratio -- platelet‐lymphocyte ratio -- systemic immune‐inflammation index -- systemic inflammation response index; Cytology; Medicine; Molecular Biology; Cytologie -- Périodiques; Médecine -- Périodiques; Biologie moléculaire -- Périodiques; Cytology -- Periodicals; Medicine -- Periodicals; Molecular biology -- Periodicals; 611.01805
• DOI: 10.1111/jcmm.15097
• Languages: English
• ISSNs: 1582-1838

Abstract

Abstract: Inflammation indicators, such as systemic inflammation response index (SIRI), systemic immune‐inflammation index (SII), neutrophil‐to‐lymphocyte ratio (NLR) and platelet‐lymphocyte ratio (PLR), are associated with poor prognosis in various solid cancers. In this study, we investigated the predictive value of these inflammation indicators in nasopharyngeal carcinoma (NPC). This retrospective study involved 559 patients with NPC and 500 patients with chronic rhinitis, and 255 NPC patients were followed up successfully. Continuous variables and qualitative variables were measured by t test and chi‐square test, respectively. The optimal cut‐off values of various inflammation indicators were determined by receiver operating characteristic (ROC) curve. Moreover, the diagnostic value for NPC was decided by the area under the curves (AUCs). The Kaplan‐Meier methods and the log‐rank test were used to analyse overall survival (OS) and disease‐free survival (DFS). The independent prognostic risk factors for survival and influencing factors of side effects after treatment were analysed by Cox and logistic regression analysis, respectively. Most haematological indexes of NPC and rhinitis were significantly different between the two groups, and PLR was optimal predictive indicators of diagnosis. In the multivariable Cox regression analysis, PLR, WBC, RDW, M stage and age were independent prognostic risk factors. Many inflammation indicators that affected various side effects were evaluated by logistic regression analysis. In conclusion, the combined inflammation indicators were superior to single haematological indicator in the diagnosis and prognosis of NPC. These inflammation indicators can be used to supply the current evaluation system of the TNM staging system to help predict the prognosis in NPC patients.