Screening and identification of gene expression in large cohorts of clinical lung cancer samples unveils the major involvement of EZH2 and SOX2

Niharika, Ankan Roy, Ratan Sadhukhan, Samir Kumar Patra
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Abstract

Lung adenocarcinoma (LUAD), the primary subtype of Non-Small Cell Lung Cancer (NSCLC), accounts for 80% to 85% of cases. Due to suboptimal screening method, LUAD is often detected in late stage, leading to aggressive progression and poor outcomes. Therefore, early disease prognosis for the LUAD is high priority. In order to identify early detection biomarkers, we conducted a meta-analysis of mRNA expression TCGA and GTEx datasets from LUAD patients. A total of 795 differentially expressed genes (DEGs) were identified by exploring the Network-Analyst tool and utilizing combined effect size methods. DEGs refer to genes whose expression levels are significantly different (either higher or lower) compared to their normal baseline expression levels. KEGG pathway enrichment analysis highlighted the TNF signaling pathway as being prominently associated with these DEGs. Subsequently, using the MCODE and CytoHubba plugins in Cytoscape software, we filtered out the top 10 genes. Among these, SOX2 was the only gene exhibiting higher expression, while the others were downregulated. Consequently, our subsequent research focused on SOX2. Further transcription factor-gene network analysis revealed that enhancer of zeste homolog 2 (EZH2) is a significant partner of SOX2, potentially playing a crucial role in euchromatin-heterochromatin dynamics. Structure of SOX2 protein suggest that it is a non-druggable transcription factor, literature survey suggests the same; hence, we drove our focus to investigate on potential drug(s) targeting EZH2. Molecular docking analyses predicted most probable inhibitors of EZH2. We employed several predictive analysis tools and identified GSK343, as a promising inhibitor of EZH2.
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筛查和鉴定大型临床肺癌样本中的基因表达,揭示 EZH2 和 SOX2 的主要参与作用
肺腺癌(LUAD)是非小细胞肺癌(NSCLC)的主要亚型,占 80% 至 85% 的病例。由于筛查方法不够理想,LUAD 往往在晚期才被发现,导致病情恶化,预后不佳。因此,对 LUAD 进行早期疾病预后评估是当务之急。为了确定早期检测生物标志物,我们对LUAD患者的mRNA表达TCGA和GTEx数据集进行了荟萃分析。通过探索网络分析器工具并利用综合效应大小方法,我们共发现了 795 个差异表达基因(DEGs)。差异表达基因指的是其表达水平与其正常基线表达水平相比有显著差异(或高或低)的基因。KEGG 通路富集分析显示,TNF 信号通路与这些 DEGs 密切相关。随后,我们使用 Cytoscape 软件中的 MCODE 和 CytoHubba 插件筛选出了前 10 个基因。其中,SOX2 是唯一一个表达量较高的基因,而其他基因的表达量均有所下降。因此,我们随后的研究集中在 SOX2 上。进一步的转录因子-基因网络分析发现,泽斯特同源增强子2(EZH2)是SOX2的重要伙伴,可能在外染色质-异染色质动态变化中发挥关键作用。SOX2 蛋白的结构表明它是一种不可药用的转录因子,文献调查也表明了这一点。分子对接分析预测了最有可能的 EZH2 抑制剂。我们使用了几种预测分析工具,发现 GSK343 是一种很有前景的 EZH2 抑制剂。
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