Stomatology Hospital, Southern Medical University, Guangzhou 510280, China.
Dis Markers. 2022 May 19;2022:6389906. doi: 10.1155/2022/6389906. eCollection 2022.
This bioinformatics study was aimed at evaluating type 2 diabetes (T2D) and oral squamous cell carcinoma (OSCC) with regard to related immune cells and prognosis.
We downloaded the data on OSCC from TCGA and for T2D from GEO database. Differentially expressed genes were analyzed, i.e., for OSCC genes with value < 0.01, |log2(FC)| > 0; and for T2D, genes with value < 0.05, |log2(FC)| > 0. The intersected genes between OSCC and T2D were cross-talk genes. The expression values of immune-related genes in case samples in OSCC and T2D were assessed and underwent multivariate and univariate analysis (Cox-PH model). The intersection between the immune genes and cross-talk genes was taken and further analyzed by recursive feature elimination (RFE), survival analysis, and ROC analysis.
1008 cross-talk genes were acquired, including 28 common upregulated, 440 common downregulated, and 540 differently regulated DEGs. We extracted the gene expression value of 782 immune-related genes, of which seven increased immune cells were obtained. From the results, plasmacytoid dendritic cells and effector memory CD8 T cells were highly negatively correlated in both OSCC and T2D. After estimating a low- and high-risk model for survival, we found that activated dendritic cell was significantly different between high and low groups ( = 0.0095), followed by plasmacytoid dendritic cell. We integrated DE_Immune genes set 1 and DE_Immune genes set 2 and eight key immune-related cross-talk genes (C1QC, ABCD1, NOS2, PDIA4, IL1RN, ALOX15, CSE1L, and PSMC4) were evaluated. After ROC analysis, we obtained that ABCD1, C1QC, CSE1L, and PSMC4 had higher classification and prediction effects on OSCC and T2D.
This study revealed a close relationship between T2D and OSCC. Thereby, plasmacytoid dendritic cell and activated dendritic cell-related genes were associated with the survival of T2D-related OSCC, while ABCD1, C1QC, CSE1L, and PSMC4 were the most important immune-related cross-talk genes.
本生物信息学研究旨在评估 2 型糖尿病（T2D）和口腔鳞状细胞癌（OSCC）与相关免疫细胞和预后的关系。
我们从 TCGA 下载了 OSCC 数据，从 GEO 数据库下载了 T2D 数据。分析差异表达基因，即 OSCC 基因，值 < 0.01，|log2(FC)| > 0；T2D 基因，值 < 0.05，|log2(FC)| > 0. OSCC 和 T2D 之间的交叉基因是相互作用基因。评估 OSCC 和 T2D 病例样本中免疫相关基因的表达值，并进行多变量和单变量分析（Cox-PH 模型）。取免疫基因与交叉基因的交集，进一步进行递归特征消除（RFE）、生存分析和 ROC 分析。
获得了 1008 个交叉基因，包括 28 个共同上调、440 个共同下调和 540 个差异调节 DEGs。我们提取了 782 个免疫相关基因的基因表达值，其中获得了 7 个增加的免疫细胞。结果显示，浆细胞样树突状细胞和效应记忆 CD8 T 细胞在 OSCC 和 T2D 中均呈高度负相关。在估计生存的低风险和高风险模型后，我们发现活化树突状细胞在高组和低组之间有显著差异（=0.0095），其次是浆细胞样树突状细胞。我们整合了 DE_Immune 基因集 1 和 DE_Immune 基因集 2 以及 8 个关键免疫相关交叉基因（C1QC、ABCD1、NOS2、PDIA4、IL1RN、ALOX15、CSE1L 和 PSMC4）。经过 ROC 分析，我们发现 ABCD1、C1QC、CSE1L 和 PSMC4 对 OSCC 和 T2D 具有更高的分类和预测效果。
本研究揭示了 T2D 和 OSCC 之间的密切关系。因此，浆细胞样树突状细胞和活化树突状细胞相关基因与 T2D 相关 OSCC 的生存有关，而 ABCD1、C1QC、CSE1L 和 PSMC4 是最重要的免疫相关交叉基因。
