The results showed that N stage, clinical stage and FLI-1 expression were prognostic factors for OS, DMFS and PFS. Gender was a prognostic factor for both DMFS and PFS. T stage, which had a borderline significance in LRFS, was significantly associated with PFS. Advanced clinical stage was also associated with poor LRFS (Table 2). In the training set, multivariate analyses was performed by the COX proportional hazards model to determine the independent prognostic factors of NPC, including all the factors analyzed in the univariate analysis. The results indicated

that N stage, clinical stage and FLI-1 expression were independently significant Alpelisib price for OS. N stage and FLI-1 expression selleck kinase inhibitor were independent predictors for DMFS. Further

COX proportional hazards model analysis was required because of the interactive effects between clinical stage and T/N stage, which included clinical stage and the rest clinical characteristics except T stage and N stage. The results showed that both clinical stage and FLI-1 expression were independent predictors for both OS and DMFS (Table 3). Patients were divided into two groups according to clinical stage (I~II versus III~IVb). Survival analysis was performed to the training set, with the result indicating that clinical stage distinguished all survival curves well (Figure 3A-D). Patients in the training set were further stratified based on FLI-1 expression. Survival analysis with medroxyprogesterone Kaplan-Meier method and log-rank test showed that the prognoses of NPC were further discriminated by FLI-1 expression ( Figure 4A-D). There were four subgroups: low risk (L), with I~II stage and negative FLI-1 expression; intermediate-low risk (IL), with I~II stage and positive FLI-1 expression; intermediate-high risk (IH), with III~IVb stage and negative FLI-1 expression; high risk (H), with III~IVb stage and positive FLI-1 expression. Similar results were obtained both in the testing set ( Figure 5A-D) and in the whole patients ( Figure 6A-D). These results conformed that supplementing FLI-1 with clinical stage led to more

accurate prognostication of NPC. In this study, we observed that cytoplasmic positive expression of FLI-1 correlated significantly with advanced N classification and survival of NPC patients. In addition, OS and DMFS of NPC patients with positive FLI-1 expression were significantly poorer than those with negative FLI-1 expression in the multivariate analysis. Incorporating the clinical stage and FLI-1 expression, by which NPC patients were classified into four risk subgroups, was more effective and accurate in predicting prognosis for NPC than clinical stage alone, especially for patients with III~IVb stage diseases. Thus, FLI-1 has potential as a biomarker to facilitate individualized treatment of NPC.