Department of Stomatology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, China.
Oral Dis. 2024 Mar;30(2):408-421. doi: 10.1111/odi.14341. Epub 2022 Aug 16.
To determine whether m6A/m1A/m5C/m7G/m6Am/Ψ-related genes influence the prognosis of a patient with oral squamous cell carcinoma.
We investigated the changes in regulatory genes using publicly available data from The Cancer Genome Atlas. Consensus clustering by RNA methylation-related regulators was used to describe oral squamous cell carcinomas (OSCCs). Then, we developed the prediction model. The tumor microenvironment was investigated using ESTIMATE. Gene set enrichment analysis was used to determine whether pathways or cell types were enriched in different groups. The association between the model and immune-related risk scores was investigated using correlation analysis.
We found 22 gene signatures in this analysis and then developed a predictive model that reveals the genes that are highly connected to the overall survival of OSCC patients. The survival and death rates were substantially different in the two groups (high and low risk) classified by the risk scores. The validation cohort verified the phenotypic diversity and prognostic effects of these genes.
Our data reveal that immune cell infiltration, genetic mutation, and survival potential in OSCC patients are linked to m6A/m1A/m5C/m7G/m6Am/Ψ-related genes, and we constructed a dependable prognostic model for OSCC patients.
确定 m6A/m1A/m5C/m7G/m6Am/Ψ 相关基因是否影响口腔鳞状细胞癌患者的预后。
我们使用来自癌症基因组图谱的公开可用数据研究了调节基因的变化。使用 RNA 甲基化相关调节剂进行共识聚类来描述口腔鳞状细胞癌（OSCC）。然后，我们开发了预测模型。使用 ESTIMATE 研究肿瘤微环境。使用基因集富集分析确定不同组中是否富集了途径或细胞类型。使用相关性分析研究模型与免疫相关风险评分之间的关联。
我们在这项分析中发现了 22 个基因特征，然后开发了一个预测模型，揭示了与 OSCC 患者总体生存率高度相关的基因。根据风险评分分类的两组（高风险和低风险）的生存率和死亡率有很大差异。验证队列验证了这些基因的表型多样性和预后作用。
我们的数据表明，OSCC 患者的免疫细胞浸润、基因突变和生存潜力与 m6A/m1A/m5C/m7G/m6Am/Ψ 相关基因有关，我们构建了一个可靠的 OSCC 患者预后预测模型。
