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口腔鳞状细胞癌候选基因特征的综合分析。

A comprehensive analysis of candidate gene signatures in oral squamous cell carcinoma.

出版信息

Neoplasma. 2017;64(2):167-174. doi: 10.4149/neo_2017_201.

DOI:10.4149/neo_2017_201
PMID:28043142
Abstract

This study aimed to unravel the molecular mechanism of oral squamous cell carcinoma (OSCC). With microarray dataset GSE30784, differentially expressed genes (DEGs) were identified between OSCC and control samples. The DEGs overlapped with genes obtained from online database MalaCards were determined as OSCCDEG, followed by Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. A total of 5177 up-regulated and 6081 down-regulated DEGs were identified between OSCC and control. Out of the DEGs, 451 genes were overlapped with the 704 genes gained from MalaCards and regarded as "OSCCDEG". Up-regulated OSCCDEG were associated with cell cycle pathway, while down-regulated OSCCDEG were linked to ErbB pathway. ANGPT1, ANGPT2 and 3 hub proteins (EGFR, HSP90AA1, RB1) in the PPI network were associated with the survival rates of several tumors. The largest network module with the hub protein EGFR was associated with positive regulation of cell communication. The second largest module with the hub node FN1 was related to angiogenesis. For the third network module in connection with DNA metabolism, the hub protein was PCNA. ErbB and cell cycle pathways were crucial for OSCC. EGFR, FN1, PCNA, ANGPT1 and ANGPT2 might be potential biomarkers for OSCC. These findings help provide guidelines for treating OSCC.

摘要

本研究旨在揭示口腔鳞状细胞癌(OSCC)的分子机制。利用微阵列数据集 GSE30784,鉴定了 OSCC 与对照样本之间的差异表达基因(DEGs)。与在线数据库 MalaCards 获得的基因重叠的 DEGs 被确定为 OSCCDEG,随后进行京都基因与基因组百科全书(KEGG)富集分析。在 OSCC 与对照之间共鉴定出 5177 个上调和 6081 个下调的 DEGs。在这些 DEGs 中,有 451 个基因与从 MalaCards 获得的 704 个基因重叠,被视为“OSCCDEG”。上调的 OSCCDEG 与细胞周期途径有关,而下调的 OSCCDEG 与 ErbB 途径有关。蛋白质-蛋白质相互作用(PPI)网络中的 ANGPT1、ANGPT2 和 3 个核心蛋白(EGFR、HSP90AA1、RB1)与几种肿瘤的生存率有关。PPI 网络中具有核心蛋白 EGFR 的最大网络模块与细胞通讯的正调控有关。与核心节点 FN1 相关的第二大模块与血管生成有关。与 DNA 代谢相关的第三个网络模块的核心蛋白是 PCNA。ErbB 和细胞周期途径对 OSCC 至关重要。EGFR、FN1、PCNA、ANGPT1 和 ANGPT2 可能是 OSCC 的潜在生物标志物。这些发现有助于为 OSCC 的治疗提供指导。

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