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通过整合TCGA数据对子宫内膜癌进行表达谱分析

Expression Profiles of Endometrial Carcinoma by Integrative Analysis of TCGA Data.

作者信息

Sun Huizhen, Yan Li, Tu Ruiqin, Zhang Yuqin, Ma Li, Tang Wenbin, Li Long, Chen Wei, Zhan Cheng, Zang Rongyu

机构信息

Department of Radiation Oncology, Eye and ENT Hospital, Shanghai, China.

出版信息

Gynecol Obstet Invest. 2017;82(1):30-38. doi: 10.1159/000445073. Epub 2016 Mar 18.

DOI:10.1159/000445073
PMID:26986489
Abstract

BACKGROUND

This study was to explore the expression profile of endometrial carcinoma (EC) and identify the potential molecular mechanism and therapeutic targets.

METHODS

Differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were identified in EC using mRNA and miRNA sequencing data released by the Cancer Genome Atlas database; then, gene function and pathway of DEGs were analyzed based on the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway databases; finally, the transcription factors (TFs) latently regulating the DEGs and DEMs were predicted and a TF-miRNA-Gene network was then established to summarize the regulatory links between TFs, DEMs and DEGs.

RESULTS

One thousand five hundred and forty two upregulated and 1,885 downregulated DEGs, 34 upregulated and 12 downregulated DEMs were identified. The principal DEGs-enriched functions were cell differentiation, cell migration, and cell surface receptor signaling pathway. The DEGs-enriched cell signaling pathways including the MAPK, Wnt signaling pathway, and the p53 signaling pathway. As shown in the TF-miRNA-Gene network, TFs such as CPBP and GKLF, miRNAs such as miR-141-3p and miR-130b-3p, regulated most of DEGs and DEMs.

CONCLUSION

These results may contribute to the study of the molecular mechanism and therapeutic targets in EC, and facilitate the discovery of new biomarkers for screening, diagnosis and monitoring.

摘要

背景

本研究旨在探索子宫内膜癌(EC)的表达谱,确定潜在的分子机制和治疗靶点。

方法

利用癌症基因组图谱数据库发布的mRNA和miRNA测序数据,在EC中鉴定差异表达基因(DEGs)和差异表达miRNA(DEMs);然后,基于基因本体论和京都基因与基因组百科全书通路数据库分析DEGs的基因功能和通路;最后,预测潜在调控DEGs和DEMs的转录因子(TFs),并建立TF-miRNA-基因网络以总结TFs、DEMs和DEGs之间的调控联系。

结果

鉴定出1542个上调和1885个下调的DEGs,34个上调和12个下调的DEMs。主要的DEGs富集功能为细胞分化、细胞迁移和细胞表面受体信号通路。DEGs富集的细胞信号通路包括MAPK、Wnt信号通路和p53信号通路。如TF-miRNA-基因网络所示,CPBP和GKLF等TFs,miR-141-3p和miR-130b-3p等miRNAs调控了大多数DEGs和DEMs。

结论

这些结果可能有助于研究EC的分子机制和治疗靶点,并促进发现用于筛查、诊断和监测的新生物标志物。

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