Department of Oral & Maxillofacial Surgery, NanFang Hospital, Southern Medical University, Guangzhou, China.
Department of Prosthodontics, Stomatological Hospital, Southern Medical University, Guangzhou, China.
J Cell Mol Med. 2021 May;25(9):4444-4454. doi: 10.1111/jcmm.16512. Epub 2021 Apr 9.
Increasing evidences have showed that autophagy played a significant role in oral squamous cell carcinoma (OSCC). Purpose of our study was to explore the prognostic value of autophagy-related genes (ATGs) and screen autophagy-related biomarkers for OSCC. RNA-seq and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database following extracting ATG expression profiles. Then, differentially expressed analysis was performed in R software and a risk score model according to ATGs was established. Moreover, comprehensive bioinformatics analyses were used to screen autophagy-related biomarkers which were later verified in OSCC tissues and cell lines. A total of 232 ATGs were extracted, and 37 genes were differentially expressed in OSCC. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis demonstrated that these genes were mainly located in autophagosome membrane and associated with autophagy. Furthermore, the risk score on basis of ATGs was identified as potential independent prognostic biomarker. Moreover, ATG12 and BID were identified as potential autophagy-related biomarkers of OSCC. This study successfully constructed a risk model, and the risk score could predict the prognosis of OSCC patients accurately. Moreover, ATG12 and BID were identified as two potential independent prognostic autophagy-related biomarkers and might provide new OSCC therapeutic targets.
越来越多的证据表明自噬在口腔鳞状细胞癌（OSCC）中发挥着重要作用。本研究旨在探讨自噬相关基因（ATGs）的预后价值，并筛选 OSCC 的自噬相关生物标志物。从癌症基因组图谱（TCGA）数据库中下载 RNA-seq 和临床数据，提取 ATG 表达谱。然后，在 R 软件中进行差异表达分析，并根据 ATGs 建立风险评分模型。此外，还进行了综合的生物信息学分析，以筛选自噬相关的生物标志物，随后在 OSCC 组织和细胞系中进行了验证。共提取了 232 个 ATGs，其中 37 个基因在 OSCC 中表达差异。基因本体（GO）和京都基因与基因组百科全书（KEGG）分析表明，这些基因主要位于自噬体膜上，并与自噬有关。此外，基于 ATGs 的风险评分被确定为潜在的独立预后生物标志物。此外，还鉴定了 ATG12 和 BID 作为 OSCC 的潜在的自噬相关生物标志物。本研究成功构建了风险模型，风险评分可以准确预测 OSCC 患者的预后。此外，还鉴定了 ATG12 和 BID 作为两个潜在的独立预后自噬相关生物标志物，可能为 OSCC 的治疗提供新的靶点。
