Prediction of biomarkers of oral squamous cell carcinoma using microarray technology.
Prediction of biomarkers of oral squamous cell carcinoma using microarray technology.
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DOI：
10.1038/srep42105
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发表时间：
2017-02-08
影响因子：
4.6
通讯作者：
Ran L
中科院分区：
文献类型：
--
作者：
Li G;Li X;Yang M;Xu L;Deng S;Ran L
利用基因芯片数据筛选口腔鳞状细胞癌基因。从GEO数据库下载口腔鳞癌和正常组织的基因芯片数据，采用Benjamini-Hochberg(BH)方法进行分析。然后将差异表达基因(Deg)上传到David数据库进行浓缩分析。最终选择靶基因进行体内外验证实验。从54676个基因中筛选出78个deg，其中46个上调，32个下调。GO术语显示，这些基因与表皮生长(生物学过程)、胞外区(细胞成分)和细胞因子活性(分子功能)有关。蛋白质网络相互作用表明OSCC与CXCL10、IFI6、IFI27、ADAMTS2和COL5A1这5个关键基因紧密相关，这与RT-PCR结果一致。选择高表达基因CXCL10进行进一步的细胞实验，结果表明CXCL10能促进正常细胞的增殖、迁移和侵袭，抑制肿瘤细胞的生长。此外，已证实CXCL10可能与口腔鳞癌的发生发展有关。了解口腔鳞状细胞癌表达的调控机制将有助于肿瘤生物标志物的筛选。
Microarray data is used to screen the genes of oral squamous cell carcinoma (OSCC). Microarray data of OSCC and normal tissues were downloaded from GEO database and analyzed with Benjamini-Hochberg (BH) method. Differentially expressed genes (DEGs) were then uploaded on DAVID database to process enrichment analysis. Target genes were finally chosen for verification experiment in vitro and in vivo. 78 DEGs were selected from 54676 genes, including 46 up- and 32 down- regulation. GO term showed that these genes were related to epidermal growth (biological processes), extracellular region (cellular components) and cytokines activity (molecular function). Protein network interaction demonstrated that OSCC was closely allied to the five key genes including CXCL10, IFI6, IFI27, ADAMTS2 and COL5A1, which was consistent with the RT-PCR data. High-expressed gene CXCL10 was chosen for further cell experiment, and the results indicated that CXCL10 can promote the proliferation, migration and invasion of normal cells and inhibited the cancer cells after si-RNA transfection. Moreover, it has been proven that CXCL10 was possibly related to the occurrence and development of OSCC. Understanding the regulation of OSCC expression will shed light on the screening of cancer biomarker.