With its rising fatality rates, oral cancer is one of the most concerning public health issues. To reduce disease-related mortality and morbidity, advancements in screening and detection are critical. Finding specific biomarkers is one of the most successful approaches for screening, diagnosing, and staging this dreadful disease. In this study differentially expressed genes associated with oral cancer were analyzed using RNASeq to find the potential biomarkers. Functional enrichment of upregulated genes found that 253 genes were present in the plasma membrane. Three clusters were formed using KMean Clustering from the PPI networks, and highly connected hub genes were identified from each cluster. Eventually, expression and survival analyses of hub genes were performed using The Cancer Genome Atlas (TCGA) database targeting Head and Neck Squamous Cell Carcinoma. Among those genes, expression levels of eight genes SLC2A1, ITGA6, LAMC2, COL1A2, COL1A1, TNC, THY1, and CD276 have significantly changed in Head and Neck Squamous cell carcinoma. There are reports that suggest these genes were significantly dysregulated in Oral Squamous cell carcinoma and can be explored further as potential biomarkers for margin clearance.

中文翻译：

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RNASeq 作为了解 HNSC 中潜在生物标志物失调的工具

随着死亡率的上升，口腔癌成为最受关注的公共卫生问题之一。为了降低与疾病相关的死亡率和发病率，筛查和检测方面的进步至关重要。寻找特定的生物标志物是筛查、诊断和分期这种可怕疾病的最成功的方法之一。在这项研究中，使用 RNASeq 分析了与口腔癌相关的差异表达基因，以寻找潜在的生物标志物。上调基因的功能富集发现253个基因存在于质膜中。使用来自 PPI 网络的 KMean 聚类形成三个簇，并从每个簇中鉴定出高度连接的中心基因。最终，使用针对头颈部鳞状细胞癌的癌症基因组图谱（TCGA）数据库进行中枢基因的表达和存活分析。在这些基因中，8个基因SLC2A1、ITGA6、LAMC2、COL1A2、COL1A1、TNC、THY1和CD276在头颈部鳞状细胞癌中的表达水平发生了显着变化。有报道表明这些基因在口腔鳞状细胞癌中显着失调，可以作为边缘清除的潜在生物标志物进一步探索。