Zhang Guihai, Fan Erxi, Yue Guojun, Zhong Qiuyue, Shuai Yu, Wu Mingna, Feng Guangyong, Chen Qiying, Gou Xiaoxia
Department of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi Medical University, Zunyi, Guizhou Province, China.
J Cell Biochem. 2020 Aug;121(8-9):3804-3813. doi: 10.1002/jcb.29535. Epub 2019 Oct 31.
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 < .05). ROC curves verified that this five-gene signature had good performance to predict the prognosis of laryngeal cancer (AUC = 0.862, P < .05). In conclusion, the five-gene signature consist of EMP1, HOXB9, DPY19L2P1, MMP1, and KLHDC7B might be applied as an independent prognosis predictor of laryngeal cancer.
在本研究中，我们旨在探究一种用于预测喉癌患者预后的新型五基因特征。喉癌数据集来自癌症基因组图谱（TCGA）。运用单变量和多变量Cox回归分析筛选预后差异表达基因（DEG），并获得了一种新型基因特征。通过受试者工作特征（ROC）曲线和曲线下面积（AUC）对该Cox回归模型的性能进行了测试。通过Kaplan-Meier曲线和对数秩检验对五个基因中的每一个进行了进一步的生存分析。在本研究中，共从TCGA数据集中筛选出622个DEG。我们通过Cox生存分析构建了一个五基因特征。根据中位风险评分将患者分为低风险组和高风险组，发现这两组之间5年总生存率存在显著差异（P < 0.05）。ROC曲线证实该五基因特征在预测喉癌预后方面具有良好性能（AUC = 0.862，P < 0.05）。总之，由EMP1、HOXB9、DPY19L2P（此处原文可能有误，推测应为DPY19L2）、MMP1和KLHDC7B组成的五基因特征可能作为喉癌的独立预后预测指标。
