Department of Cardiothoracic Surgery, Shanxian Central Hospital, Heze 274300, Shandong Province, China.
Department of Gastroenterology, Shanxian Central Hospital, Heze 274300, Shandong Province, China.
Biosci Rep. 2020 Feb 28;40(2). doi: 10.1042/BSR20191985.
Esophageal cancer is one of the most poorly diagnosed and fatal cancers in the world. Although a series of studies on esophageal cancer have been reported, the molecular pathogenesis of the disease is still elusive.
To investigate the molecular process of esophageal cancer comprehensively and deeply.
Differential expression analysis was performed to identify differentially expressed genes (DEGs) in different stages of esophageal cancer. Then exacting gene interaction modules and hub genes were identified in module interaction network. Further, though survival analysis, methylation analysis, pivot analysis, and enrichment analysis, some important molecules and related function or pathway were identified to elucidate potential mechanism in esophageal cancer.
A total of 7457 DEGs and 14 gene interaction modules were identified. These module genes were significantly involved in the positive regulation of protein transport, gastric acid secretion, insulin-like growth factor receptor binding and other biological processes (BPs), as well as p53 signaling pathway, ERBB signaling pathway and epidermal growth factor receptor (EGFR) signaling pathway. Then, transcription factors (TFs) (including HIF1A) and ncRNAs (including CRNDE and hsa-mir-330-3p) significantly regulate dysfunction modules were identified. Further, survival analysis showed that GNGT2 was closely related to survival of esophageal cancer. And DEGs with strong methylation regulation ability were identified, including SST and SH3GL2.
These works not only help us to reveal the potential regulatory factors in the development of disease, but also deepen our understanding of its deterioration mechanism.
食管癌是全球诊断最差和死亡率最高的癌症之一。尽管已经有一系列关于食管癌的研究报告，但该疾病的分子发病机制仍难以捉摸。
全面深入地研究食管癌的分子过程。
采用差异表达分析鉴定食管癌不同阶段的差异表达基因（DEGs）。然后在模块互作网络中鉴定出精确的基因互作模块和枢纽基因。进一步通过生存分析、甲基化分析、枢轴分析和富集分析，鉴定出一些重要的分子及其相关功能或通路，以阐明食管癌中的潜在机制。
共鉴定出 7457 个 DEGs 和 14 个基因互作模块。这些模块基因显著参与了蛋白质运输、胃酸分泌、胰岛素样生长因子受体结合等生物过程（BP）的正向调节，以及 p53 信号通路、ERBB 信号通路和表皮生长因子受体（EGFR）信号通路。然后，鉴定出了显著调节失调模块的转录因子（TFs）（包括 HIF1A）和非编码 RNA（ncRNA）（包括 CRNDE 和 hsa-mir-330-3p）。进一步的生存分析表明，GNGT2 与食管癌的生存密切相关。同时还鉴定出了具有强甲基化调控能力的 DEGs，包括 SST 和 SH3GL2。
这些工作不仅有助于我们揭示疾病发展中的潜在调控因素，还加深了我们对其恶化机制的理解。
