Identification of potential therapeutic target genes and mechanisms in head and neck squamous cell carcinoma by bioinformatics analysis.
Identification of potential therapeutic target genes and mechanisms in head and neck squamous cell carcinoma by bioinformatics analysis.
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DOI：
10.3892/ol.2016.4358
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发表时间：
2016-05
期刊：
影响因子：
2.9
通讯作者：
Li W
中科院分区：
文献类型：
--
作者：
Kuang J;Zhao M;Li H;Dang W;Li W
本研究旨在通过生物信息学分析确定头颈鳞状细胞癌（HNSCC）的潜在靶基因和潜在分子机制。 Gene Expression Omnibus 系列 GSE6631 的微阵列数据是从 Gene Expression Omnibus 数据库下载的，该数据库由 22 名患者的 HNSCC 和正常组织的配对样本生成，用于识别差异表达基因 (DEG)。进行基因本体论 (GO) 和京都基因和基因组百科全书富集分析，以研究已识别的 DEG 的功能。此外，使用 Cytoscape 软件构建了这些 DEG 的蛋白质-蛋白质相互作用（PPI）网络。 HNSCC与正常样本之间存在419个差异基因，其中196个上调基因和223个下调基因。上调的DEGs主要富集在细胞粘附、细胞外基质（ECM）组织和胶原代谢过程的GO方面，而下调的DEGs主要与表皮发育和表皮细胞分化相关。 DEGs 在 ECM-受体相互作用、粘着斑和药物代谢等途径中丰富。纤连蛋白 1 (FN1)、表皮生长因子受体 (EGFR)、I 型胶原蛋白 α 1 (COL1A1) 和基质金属肽酶 9 (MMP-9) 是 PPI 网络中的枢纽节点。这些结果表明细胞粘附和药物代谢可能与HNSCC的发生有关，FN1、EGFR、COL4A1和MMP-9等基因可能是HNSCC潜在的治疗靶基因。
The present study aimed to identify the potential target genes and underlying molecular mechanisms involved in head and neck squamous cell carcinoma (HNSCC) by bioinformatics analysis. Microarray data of a Gene Expression Omnibus series GSE6631 was downloaded from the Gene Expression Omnibus database, which was generated from paired samples of HNSCC and normal tissue from 22 patients, and was used to identify differentially expressed genes (DEGs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed to investigate the functions of the identified DEGs. Furthermore, the protein-protein interaction (PPI) network of these DEGs was constructed using Cytoscape software. Between HNSCC and normal samples there was a difference in 419 DEGs, including 196 upregulated and 223 downregulated genes. The upregulated DEGs were mainly enriched in GO terms of cell adhesion, extracellular matrix (ECM) organization and collagen metabolic process, while the downregulated DEGs were mainly associated with epidermis development and epidermal cell differentiation. The DEGs were enriched in pathways such as ECM-receptor interaction, focal adhesion and drug metabolism. Fibronectin 1 (FN1), epidermal growth factor receptor (EGFR), collagen type I alpha 1 (COL1A1) and matrix metallopeptidase-9 (MMP-9) were hub nodes in the PPI network. These results suggested that cell adhesion and drug metabolism may be associated with HNSCC development, and genes such as FN1, EGFR, COL4A1 and MMP-9 may be potential therapeutic target genes in HNSCC.