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Abstract：
Periodontitis and oral squamous cell carcinoma (OSCC) are prevalent oral diseases with distinct etiologies, yet they share certain molecular and biological characteristics. Gene expression datasets from the gene expression omnibus (GEO) repository (GSE30784 for OSCC and GSE10334 for periodontitis) were analyzed. Data preprocessing and differential gene expression analysis using GEO2R identified common differentially expressed genes (DEGs), and FunRich software facilitated the construction of a protein-protein interaction (PPI) network on the STRING database. Cytoscape, coupled with the CytoHubba plugin, identified Cluster of Differentiation 19 (CD19) and Von Willebrand Factor (VWF) as the top hub genes, with Complement C3 (C3) also highly ranked. Functional enrichment analysis highlighted pathways such as the B-cell receptor signaling pathway, complement and coagulation cascades, and hematopoietic cell lineage. Additionally, miRNet analysis identified key miRNAs, including hsa-mir-26a-5p, hsa-mir-129-2-3p, and hsa-mir-27a-3p, associated with these pathways. These findings suggested an association of molecular mechanisms between periodontitis and OSCC, with identified hub genes and miRNAs potentially serving as therapeutic targets.
摘要：
牙周炎和口腔鳞状细胞癌（OSCC）是常见的口腔疾病，具有不同的病因。但它们具有某些分子和生物学特征。分析来自基因表达综合(GEO)储存库(用于OSCC的GSE30784和用于牙周炎的GSE10334)的基因表达数据集。使用GEO2R进行数据预处理和差异基因表达分析，确定了常见的差异表达基因（DEGs），和FunRich软件促进了STRING数据库上蛋白质-蛋白质相互作用（PPI）网络的构建。Cytoscape,再加上CytoHubba插件，确定分化簇19(CD19)和血管性血友病因子(VWF)为顶级枢纽基因，补体C3（C3）也排名很高。功能富集分析突出的途径，如B细胞受体信号通路，补体和凝血级联，和造血细胞谱系。此外,miRNet分析确定了关键miRNA，包括hsa-mir-26a-5p,hsa-mir-129-2-3p,和hsa-mir-27a-3p,与这些途径有关。这些发现表明牙周炎和OSCC之间的分子机制的关联，鉴定出的hub基因和miRNA可能作为治疗靶标。
