Five genes as a novel signature for predicting the prognosis of patients with laryngeal cancer

In this study, we purpose to investigate a novel five‐gene signature for predicting the prognosis of patients with laryngeal cancer. The laryngeal cancer datasets were obtained from The Cancer Genome Atlas (TCGA). Both univariate and multivariate Cox regression analysis was applied to screening for prognostic differential expressed genes (DEGs), and a novel gene signature was obtained. The performance of this Cox regression model was tested by receiver operating characteristic (ROC) curves and area under the curve (AUC). Further survival analysis for each of the five genes was carried out through the Kaplan‐Meier curve and Log‐rank test. Totally, 622 DEGs were screened from the TCGA datasets in this study. We construct a five‐gene signature through Cox survival analysis. Patients were divided into low‐ and high‐risk groups depending on the median risk score, and a significant difference of the 5‐year overall survival was found between these two groups (P