首页> 美国卫生研究院文献>Technology in Cancer Research Treatment >TP53-Associated Ion Channel Genes Serve as Prognostic Predictor and Therapeutic Targets in Head and Neck Squamous Cell Carcinoma
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TP53-Associated Ion Channel Genes Serve as Prognostic Predictor and Therapeutic Targets in Head and Neck Squamous Cell Carcinoma

机译:相关的离子通道基因是头部和颈鳞状细胞癌中的预后预测因子和治疗靶标

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摘要

TP53 mutations are the most occurred mutation in HNSCC which might affect the ion channel genes. We aim to investigate the ion channel gene alteration under TP53 mutation and their prognostic implication. The overall mutation status of HNSCC were explored. By screening the TP53-associated ion channel genes (TICGs), an ion channel prognostic signature (ICPS) was established through a series of machine learning algorithms. The ICPS was then evaluated and its clinical significance was explored. 82 TICGs differentially expressed between TP53WT and TP53MUT were screened. Using univariate regression analysis and LASSO regression analysis and multivariate regression analysis, an ICPS containing 7 ion channel genes was established. A series of evaluation was carried out which proved the predictive ability of ICPS. Functional analysis of ICPS revealed that cancer-related pathways were enriched in high-risk group. Next, for clinical application, a nomogram was constructed based on ICPS and other independent clinicopathological factors. TP53 mutation status strongly affects the expression of ion channel genes. The ICPM we have identified is a strong indicator for HNSCC prognosis and could help with patient stratification as well as identification of novel drug targets.
机译:TP53突变是HNSCC中最突变的突变,这可能影响离子通道基因。我们的目的是在TP53突变下进行离子通道基因改变及其预后意义。探讨了HNSCC的整体突变状态。通过筛选TP53相关离子通道基因(TiCGS),通过一系列机器学习算法建立离子通道预后签名(ICP)。然后评估ICPS,并探讨了其临床意义。筛选出差别表达的82型TICGS和TP53MUT之间的差异表达。使用单变量回归分析和套索回归分析和多变量回归分析,建立了含有7个离子通道基因的ICP。进行了一系列评估,证明了ICP的预测能力。 ICP的功能分析显示,癌症相关的途径富含高风险组。接下来,对于临床应用,基于ICP和其他独立的临床病理因素构建了一个NOM图。 TP53突变状态强烈影响离子通道基因的表达。我们已经确定的ICPM是HNSCC预后的强大指标,可以帮助患者分层以及新型药物靶标的鉴定。

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