Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Digestive Department, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Technol Cancer Res Treat. 2020 Jan-Dec;19:1533033820977489. doi: 10.1177/1533033820977489.
Esophageal cancer (EC) is a primary malignant tumor originating from the esophageal of the epithelium. Surgical resection is a potential treatment for EC, but this is only appropriate for patients who have locally resectable lesions suitable for surgery. However, most patients with EC are at a late stage when diagnosed. Therefore, there is an urgent need to further explore the pathogenesis of EC to enable early diagnosis and treatment.
Our study downloaded 2 expression spectrum datasets (GSE92396 and GSE100942) in the Gene Expression Omnibus (GEO) database. GEO2 R was used to identify the Differentially expressed genes (DEGs) between the samples of EC and control. Using the DAVID tool to make the Functional enrichment analysis. Constructing A protein-protein interaction (PPI) network. Identifying the Hub genes. The impact of hub gene expression on overall survival and their expression based on immunohistochemistry were analyzed. Associated microRNAs were also predicted.
There were 36 common DEGs identified. The analysis of GO and KEGG results shown that the variations were predominantly concentrated in the extracellular matrix (ECM), ECM organization, DNA binding, platelet activation, and ECM-receptor interactions. COL3A1 and POSTN had high expression in EC tissues which was compared with their expression in healthy tissues. Analysis of pathologic stages showed that when COL3A1 and POSTN were highly expressed, the stage of the pathologic of EC patients was relatively high (P < 0.005).
COL3A1 and POSTN may play an important role in the advancement and occurrence of EC. These genes could provide some novel ideas and basis for the diagnosis and targeted treatment of EC.
食管癌（EC）是一种源自上皮的原发性恶性肿瘤。手术切除是 EC 的一种潜在治疗方法，但这仅适用于局部可切除适合手术的病变的患者。然而，大多数 EC 患者在诊断时已处于晚期。因此，迫切需要进一步探讨 EC 的发病机制，以实现早期诊断和治疗。
我们的研究从基因表达综合数据库（GEO）下载了 2 个表达谱数据集（GSE92396 和 GSE100942）。使用 GEO2 R 识别 EC 样本和对照样本之间的差异表达基因（DEGs）。使用 DAVID 工具进行功能富集分析。构建蛋白质-蛋白质相互作用（PPI）网络。识别 Hub 基因。分析 Hub 基因表达对总生存期的影响及其基于免疫组织化学的表达。还预测了相关的 microRNAs。
确定了 36 个常见的 DEGs。GO 和 KEGG 分析结果表明，变异主要集中在细胞外基质（ECM）、ECM 组织、DNA 结合、血小板激活和 ECM-受体相互作用中。COL3A1 和 POSTN 在 EC 组织中的表达高于其在健康组织中的表达。对病理分期的分析表明，当 COL3A1 和 POSTN 高表达时，EC 患者的病理分期相对较高（P<0.005）。
COL3A1 和 POSTN 可能在 EC 的进展和发生中起重要作用。这些基因可能为 EC 的诊断和靶向治疗提供一些新的思路和依据。
