Bai Guiying, Wu Chenxuan, Gao Yingtang, Shu Guiming
Department of Oncology, Tianjin Third Central Hospital, Tianjin 300179, China ; Key Laboratory of Artificial Cell Institute of Hepatobiliary Disease, Tianjin Third Central Hospital, Tianjin 300179, China.
Department of Oncology, Tianjin Third Central Hospital, Tianjin 300179, China.
Int J Genomics. 2015;2015:197603. doi: 10.1155/2015/197603. Epub 2015 Sep 3.
This study has analyzed the gene expression patterns of an IPMN microarray dataset including normal pancreatic ductal tissue (NT), intraductal papillary mucinous adenoma (IPMA), intraductal papillary mucinous carcinoma (IPMC), and invasive ductal carcinoma (IDC) samples. And eight clusters of differentially expressed genes (DEGs) with similar expression pattern were detected by k-means clustering. Then a survey map of functional disorder in IPMN progression was established by functional enrichment analysis of these clusters. In addition, transcription factors (TFs) enrichment analysis was used to detect the key TFs in each cluster of DEGs, and three TFs (FLI1, ERG, and ESR1) were found to significantly regulate DEGs in cluster 1, and expression of these three TFs was validated by qRT-PCR. All these results indicated that these three TFs might play key roles in the early stages of IPMN progression.
本研究分析了一个IPMN微阵列数据集的基因表达模式,该数据集包括正常胰腺导管组织(NT)、导管内乳头状黏液性瘤(IPMA)、导管内乳头状黏液性癌(IPMC)和浸润性导管癌(IDC)样本。通过k均值聚类检测到八组具有相似表达模式的差异表达基因(DEG)。然后,通过对这些聚类进行功能富集分析,建立了IPMN进展过程中的功能紊乱概况图。此外,利用转录因子(TF)富集分析来检测每组DEG中的关键TF,发现三个TF(FLI1、ERG和ESR1)显著调节聚类1中的DEG,并且通过qRT-PCR验证了这三个TF的表达。所有这些结果表明,这三个TF可能在IPMN进展的早期阶段起关键作用。