摘要
客观的
本研究的目的是确定预后自噬相关基因和lncRNA，以预测头颈部鳞状细胞癌（HNSCC）的临床结果。
主题和方法
通过比较HNSCC的癌和癌样本，鉴定了差异表达的自噬相关基因和自噬相关lncRNA。然后，我们构建了ARG和AR-lncRNA特征风险评分。进行受试者操作特征（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ARGs和AR-lncRNA的功能。
后果
在ARG和AR-lncRNA信号中鉴定出6个ARG和13个AR-lncRNAs，高风险组的总生存期（OS）显著短于低风险组。ROC分析表明，ARG和AR-lncRNA信号具有极好的预测HNSCC患者总OS的能力。此外，GSEA和GO功能注释证明，自噬相关通路主要在高危人群中富集。
结论
这些发现表明，我们的ARG信号和AR-lncRNA信号可以被认为预测HNSCC患者的预后，并提供对HNSCC自噬生物学机制的深入理解。
Abstract
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