列线图
基因签名
肿瘤科
基因敲除
生物
比例危险模型
免疫系统
癌症研究
单变量
衰老
医学
多元统计
内科学
基因
免疫学
基因表达
遗传学
数学
统计
作者
An Wang,Na Xiao,Hong Wang,Yao Qin,Li Jin,Yaping Wu,Huan Ge,Pengfei Diao
出处
期刊:Head & neck
[Wiley]
日期:2024-02-21
卷期号:46 (5): 1112-1125
摘要
Abstract Background Cellular senescence significantly associates with tumor initiation, progression, and therapeutic response across multiple cancers. Here, we sought to develop a novel senescence‐related genes (SRGs)‐derived signature for oral squamous cell carcinoma (OSCC) prognostication and therapeutic response prediction. Methods OSCC‐specific SRG prognostic signature was established with univariate Cox regression, Kaplan–Meier survival, and LASSO‐penalized multivariate Cox regression analyses. A SRG nomogram integrating this signature and selected clinicopathological parameters were constructed by multivariate Cox regression. SiRNA‐mediated gene knockdown was exploited to validate its function in vitro. The utilities of SRG signature in predicting immune status and chemotherapeutic sensitivities were analyzed. Results The prognostic performance of SRG signature/nomogram was satisfactory in multiple independent cohorts. CDK1 knockdown induced senescence phenotype in vitro. Moreover, SRG signature scores negatively correlated with tumor‐infiltrating immune cells and associated with multiple chemotherapeutic drug sensitivities. Conclusions Our results established SRG‐derived signature/nomogram as powerful predictors for prognosis and chemotherapeutic response for OSCC.
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