发布者:抗性基因网 时间:2021-05-24 浏览量:763
摘要
客观的
这项研究的目的是鉴定预后性自噬相关基因和lncRNA,以预测头颈部鳞状细胞癌(HNSCC)的临床结局。
主题与方法
通过比较肝癌和HNSCC的癌标本,鉴定出差异表达的自噬相关基因和自噬相关lncRNAs。然后,我们构建了ARG和AR-lncRNA签名风险评分。进行受试者工作特征(ROC)曲线分析以评估预后预测能力。使用基因集富集分析(GSEA)和基因本体论(GO)功能注释来分析ARG和AR-lncRNA的功能。
结果
在ARG和AR-lncRNA签名中鉴定出6个ARG和13个AR-lncRNA,高风险组的总生存期(OS)明显短于低风险组。 ROC分析显示ARG和AR-lncRNA签名具有预测HNSCC患者总OS的出色能力。此外,GSEA和GO功能注释证明自噬相关途径主要集中在高危人群中。
结论
这些发现表明,我们的ARG签名和AR-lncRNA签名可被认为可预测HNSCC患者的预后,并提供对HNSCC自噬生物学机制的深刻理解。
Objective
The aim of this study was to identify prognostic autophagy-related genes and lncRNAs to predict clinical outcomes in head and neck squamous cell carcinoma (HNSCC).
Subjects and methods
Differentially expressed autophagy-related genes and autophagy-related lncRNAs were identified by comparing pare-carcinoma and carcinoma samples of HNSCC. And then, we constructed an ARG and an AR-lncRNA signature risk score. Receiver operating characteristic (ROC) curve analyses were performed to assess the prognostic prediction capacity. Gene Set Enrichment Analysis (GSEA) and Gene Ontology (GO) functional annotation were used to analysis the functions of ARGs and AR-lncRNAs.
Results
Six ARGs and thirteen AR-lncRNAs were identified in the ARG and AR-lncRNA signatures, and overall survival (OS) in the high-risk group was significantly shorter than the low-risk group. ROC analysis showed the ARG and AR-lncRNA signatures have excellent ability of predicting the total OS of patients with HNSCC. What's more, GSEA and GO functional annotation proved that autophagy-related pathways are mainly enriched in the high-risk group.
Conclusions
These findings indicated that our ARG signature and AR-lncRNA signature could be considered to predict the prognosis of patients with HNSCC and provide a deep understanding of the biological mechanisms of autophagy in HNSCC.
https://onlinelibrary.wiley.com/doi/abs/10.1111/odi.13889