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通过综合生物信息学分析鉴定子宫内膜癌中的关键候选基因和通路

Identification of Key Candidate Genes and Pathways in Endometrial Cancer by Integrated Bioinformatical Analysis.

作者信息

Liu Lihong, Chen Fangxu, Xiu Aihui, Du Bo, Ai Hao, Xie Wei

机构信息

Department of Gynecological Ward, The Third Affiliated Hospital ,Jinzhou Medical University, Jinzhou, China.

Liaoning Provincial Key Laboratory of Follicle Development and Reproductive Health (Office of Science and Technology) , Jinzhou, China. Email:

出版信息

Asian Pac J Cancer Prev. 2018 Apr 25;19(4):969-975. doi: 10.22034/APJCP.2018.19.4.969.

DOI:10.22034/APJCP.2018.19.4.969
PMID:29693365
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6031768/
Abstract

Endometrial Cancer is the most common female genital tract malignancy, its pathogenesis is complex, not yet fully described. To identify key genes of Endometrial Cancer we downloaded the gene chip GSE17025 from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified through the GEO2R analysis tool. Functional and pathway enrichment analysis were performed for DEGs using DAVID database. The network of protein–protein-interaction (PPI) was established by STRING website and visualized by Cytoscape. Then, functional and pathway enrichment analysis of DEGS were performed by DAVID database. A total of 1000 significant differences genes were obtained, contain 362 up-regulated genes and 638 down-regulated genes. PCDH10, SLC6A2, OGN, SFRP4, TRH, ANGPTL, FOSB are down-regulated genes. The gene of IGH, CCL20, ELF5, LTF, ASPM expression level in tumor patients are up-regulated. Biological function of enrichment include metabolism of xenobiotics by cytochrome P450, MAPK signaling pathway, Serotonergic synapse, Protein digestion and absorption, IL-17 signaling pathway, Chemokine signaling pathway, HIF-1 signaling pathway, p53 signaling pathway. All in all, the current study to determine endometrial differentially expressed genes and biological function, comprehensive analysis of intrauterine membrane carcinoma pathogenesis mechanism, and might be used as molecular targets and diagnostic biomarkers for the treatment of endometrial cancer.

摘要

子宫内膜癌是最常见的女性生殖道恶性肿瘤,其发病机制复杂,尚未完全阐明。为了鉴定子宫内膜癌的关键基因,我们从基因表达综合数据库下载了基因芯片GSE17025。通过GEO2R分析工具鉴定差异表达基因(DEGs)。使用DAVID数据库对DEGs进行功能和通路富集分析。通过STRING网站建立蛋白质-蛋白质相互作用(PPI)网络,并通过Cytoscape进行可视化。然后,通过DAVID数据库对DEGs进行功能和通路富集分析。共获得1000个差异显著的基因,其中包括362个上调基因和638个下调基因。PCDH10、SLC6A2、OGN、SFRP4、TRH、ANGPTL、FOSB是下调基因。IGH、CCL20、ELF5、LTF、ASPM在肿瘤患者中的基因表达水平上调。富集的生物学功能包括细胞色素P450对外源生物的代谢、MAPK信号通路、5-羟色胺能突触、蛋白质消化和吸收、IL-17信号通路、趋化因子信号通路、HIF-1信号通路、p53信号通路。总之,本研究确定了子宫内膜的差异表达基因和生物学功能,全面分析了子宫内膜癌的发病机制,可能作为子宫内膜癌治疗的分子靶点和诊断生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca38/6031768/86f5b7449f98/APJCP-19-969-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca38/6031768/510e2c60734d/APJCP-19-969-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca38/6031768/f62bddea9494/APJCP-19-969-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca38/6031768/7d969f12bae8/APJCP-19-969-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca38/6031768/86f5b7449f98/APJCP-19-969-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca38/6031768/510e2c60734d/APJCP-19-969-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca38/6031768/f62bddea9494/APJCP-19-969-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca38/6031768/7d969f12bae8/APJCP-19-969-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca38/6031768/86f5b7449f98/APJCP-19-969-g004.jpg

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