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口腔癌症患者自噬相关预后风险模型及生存预测诺模图

发布者:抗性基因网 时间:2023-06-07 浏览量:241

摘要
      出身背景本研究旨在构建一个风险特征来预测ORCA患者的生存结果。方法。我们根据TCGA数据库中的RNA测序数据鉴定了差异表达的自噬相关基因(DEARGs);然后,鉴定了四个独立的生存相关ARG,以构建用于ORCA患者生存预测的自噬相关信号。临床病理数据和生存数据验证了预后模型的有效性和稳健性。随后,对构成模型的四个独立预后DEARG进行了单独评估。后果比较了127个ORCA和13个对照组织中232个自噬相关基因(ARGs)的表达,筛选出36个DEARGs。我们对36个DEARG进行了功能富集分析并构建了蛋白质-蛋白质相互作用网络。采用单变量和多变量Cox回归分析来寻找预后ARG,并构建了ORCA患者的自噬相关特征。最终,4个理想的独立生存相关ARG(WDR45、MAPK9、VEGFA和ATIC)被证实,并构成了预后模型。我们使用多种方法来验证新的自噬相关特征用于生存评估的准确性,如受试者-操作者特征曲线、Kaplan–Meier绘图仪和临床病理相关分析。形成模型的四个独立的预后DEARG也与ORCA患者的预后相关。结论。自噬相关风险模型可以独立评估ORCA患者的OS,因为它是准确和稳定的。组成该模型的四个预后ARG可以进行深入研究,用于靶向治疗。
Abstract
Background. This study is aimed at constructing a risk signature to predict survival outcomes of ORCA patients. Methods. We identified differentially expressed autophagy-related genes (DEARGs) based on the RNA sequencing data in the TCGA database; then, four independent survival-related ARGs were identified to construct an autophagy-associated signature for survival prediction of ORCA patients. The validity and robustness of the prognostic model were validated by clinicopathological data and survival data. Subsequently, four independent prognostic DEARGs that composed the model were evaluated individually. Results. The expressions of 232 autophagy-related genes (ARGs) in 127 ORCA and 13 control tissues were compared, and 36 DEARGs were filtered out. We performed functional enrichment analysis and constructed protein–protein interaction network for 36 DEARGs. Univariate and multivariate Cox regression analyses were adopted for searching prognostic ARGs, and an autophagy-associated signature for ORCA patients was constructed. Eventually, 4 desirable independent survival-related ARGs (WDR45, MAPK9, VEGFA, and ATIC) were confirmed and comprised the prognostic model. We made use of multiple ways to verify the accuracy of the novel autophagy-related signature for survival evaluation, such as receiver-operator characteristic curve, Kaplan–Meier plotter, and clinicopathological correlational analyses. Four independent prognostic DEARGs that formed the model were also associated with the prognosis of ORCA patients. Conclusions. The autophagy-related risk model can evaluate OS for ORCA patients independently since it is accurate and stable. Four prognostic ARGs that composed the model can be studied deeply for target treatment.

https://www.hindawi.com/journals/bmri/2022/2067540/