Special role of JUN in papillary thyroid carcinoma based on bioinformatics analysis.
Special role of JUN in papillary thyroid carcinoma based on bioinformatics analysis.
复制标题
基于生物信息学分析JUN在甲状腺乳头状癌中的特殊作用
DOI：
10.1186/s12957-017-1190-8
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发表时间：
2017-07-03
影响因子：
3.2
通讯作者：
Yu J
中科院分区：
文献类型：
--
作者：
Chen W;Liu Q;Lv Y;Xu D;Chen W;Yu J
背景：甲状腺乳头状癌（Papillary thyroid carcinoma，PTC）是甲状腺组织中最常见的恶性肿瘤，近年来其发病率呈上升趋势。方法：从基因表达数据库（GEO）中下载GSE 3467和GSE 3678数据集，利用RT-PCR技术，对PTC的发生、发展机制进行研究。用Limma软件包对差异表达基因（DEG）进行鉴定。用大卫工具进行GO功能和KEGG途径富集。用Cytoscape插件BisoGenet进行DEG与其他基因的相互作用网络分析，用Cytoscape插件BisoGenet进行聚类分析。DEG的富集分析发现，在三个本体中的前三个富集的GO术语和四个显著富集的KEGG通路主要涉及细胞间连接和细胞外基质组分。相互作用网络分析发现，转录因子肝细胞核因子4 α（HNF 4A）和DEG JUN的连接度较高。聚类分析表明，JUN在PTC发生发展中起着重要作用，与PTC的发生发展密切相关。结论：JUN可作为PTC特异性诊断标志物/治疗分子靶点。然而，还需要进一步的实验来证实我们的结果。
Background:Papillary thyroid carcinoma (PTC) is the most common malignancy in thyroid tissue, and the number of patients with PTC has been increasing in recent years. Discovering the mechanism of PTC genesis and progression and finding new potential diagnostic biomarkers/therapeutic target genes of PTC are of great significance.Methods:In this work, the datasets GSE3467 and GSE3678 were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified with the limma package in R. GO function and KEGG pathway enrichment were conducted with DAVID tool. The interaction network of the DEGs and other genes was performed with Cytoscape plugin BisoGenet, while clustering analysis was performed with Cytoscape plugin ClusterOne.Results:A total of 1800 overlapped DEGs were detected in two datasets. Enrichment analysis of the DEGs found that the top three enriched GO terms in three ontologies and four significantly enriched KEGG pathways were mainly concerned with intercellular junction and extracellular matrix components. Interaction network analysis found that transcription factor hepatocyte nuclear factor 4, alpha (HNF4A) and DEG JUN had higher connection degrees. Clustering analysis indicated that two function modules, in which JUN was playing a central role, were highly relevant to PTC genesis and progression.Conclusions:JUN may be used as a specific diagnostic biomarker/therapeutic molecular target of PTC. However, further experiments are still needed to confirm our results.