Li Nan, Zhao Xin, You Shengyi
Department of General Surgery, Tianjin Medical University General Hospital.
Tianjin Medical University, Tianjin, China.
Medicine (Baltimore). 2019 Jan;98(2):e14074. doi: 10.1097/MD.0000000000014074.
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal forms of cancer, and its etiology remains largely unknown. This study aimed to screen a panel of key genes and to identify their potential impact on the molecular pathways associated with the development of PDAC. Four gene expression profiles, GSE28735, GSE15471, GSE102238, and GSE43795, were downloaded from the Gene Expression Omnibus (GEO) database. The intersection of the differentially expressed genes (DEGs) in each dataset was obtained using Venn analysis. Gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) analysis were subsequently carried out. To screen for hub genes, a protein-protein interaction (PPI) network was constructed.The intersection of the DEGs revealed 7 upregulated and 9 downregulated genes. Upon relaxation of the selection criteria, 58 upregulated and 32 downregulated DEGs were identified. The top 5 biological processes identified by GO analysis involved peptide cross-linking, extracellular matrix (ECM) disassembly, regulation of the fibroblast growth factor receptor signaling pathway, mesoderm morphogenesis, and lipid digestion. The results of KEGG analysis revealed that the DEGs were significantly enriched in pathways involved in protein digestion and absorption, ECM-receptor interaction, pancreatic secretion, and fat digestion and absorption. The top ten hub genes were identified based on the PPI network.In conclusion, the identified hub genes may contribute to the elucidation of the underlying molecular mechanisms of PDAC and serve as promising candidates that can be utilized for the early diagnosis and prognostic prediction of PDAC. However, further experimental validation is required to confirm these results.
胰腺导管腺癌（PDAC）是最致命的癌症形式之一，其病因在很大程度上仍然未知。本研究旨在筛选一组关键基因，并确定它们对与PDAC发生相关的分子途径的潜在影响。从基因表达综合数据库（GEO）下载了四个基因表达谱，即GSE28735、GSE15471、GSE102238和GSE43795。使用Venn分析获得每个数据集中差异表达基因（DEG）的交集。随后进行基因本体（GO）功能和京都基因与基因组百科全书途径（KEGG）分析。为了筛选核心基因，构建了蛋白质-蛋白质相互作用（PPI）网络。DEG的交集显示有7个上调基因和9个下调基因。放宽选择标准后，鉴定出58个上调DEG和32个下调DEG。GO分析确定的前5个生物学过程涉及肽交联、细胞外基质（ECM）分解、成纤维细胞生长因子受体信号通路调节、中胚层形态发生和脂质消化。KEGG分析结果显示，DEG在参与蛋白质消化与吸收、ECM-受体相互作用、胰腺分泌以及脂肪消化与吸收的途径中显著富集。基于PPI网络确定了前十个核心基因。总之，所鉴定的核心基因可能有助于阐明PDAC的潜在分子机制，并作为有前景的候选基因用于PDAC的早期诊断和预后预测。然而，需要进一步的实验验证来证实这些结果。
