列线图
比例危险模型
头颈部鳞状细胞癌
单变量
肿瘤科
Erg公司
多元统计
基因签名
生物
内科学
生存分析
多元分析
增强子
医学
癌症研究
基因
头颈部癌
基因表达
癌症
遗传学
计算机科学
视网膜
神经科学
机器学习
作者
Pengfei Diao,Rong Huang,Yawei Shi,Yao Qin,Yibin Dai,Hua Yuan,Yanling Wang,Jie Cheng
出处
期刊:Head & neck
[Wiley]
日期:2023-02-14
卷期号:45 (4): 900-912
被引量:2
摘要
Abstract Background Enhancer RNAs (eRNAs) are increasingly recognized as prognostic biomarkers—across human cancers. Here, we sought to develop a novel eRNA‐regulated genes (ERGs)‐derived prognostic signature for head neck squamous cell carcinoma (HNSCC). Methods Candidate ERGs were identified via co‐expression between individual survival‐related eRNAs and their putative targets by Spearman's correlation analyses. The ERG signature was developed by univariate Cox regression, Kaplan–Meier survival analysis and maximum AUC in 1000 iterations of LASSO‐penalized multivariate Cox regression. An ERG nomogram incorporating ERG signature and selected clinicopathological parameters were constructed by multivariate Cox regression. Biological roles of eRNA of interest were further explored in vitro. Results The ERG signature successfully stratified patients into subgroups with distinct survival in multiple cohorts. An ERG nomogram was developed with satisfactory performance in prognostication. Inhibition of ENSR00000165816 significantly reduced transcript level of SLC2A9 and impaired cell proliferation and invasion. Conclusion Our results establish ERG signature and nomogram as powerful prognostic predictors for HNSCC.
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