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利用生物信息学分析鉴定与原代胰腺星状细胞互作后胰腺癌(BXPC-3)细胞中关键通路和基因变化。

Identification of key pathways and genes changes in pancreatic cancer cells (BXPC-3) after cross-talk with primary pancreatic stellate cells using bioinformatics analysis.

机构信息

Department of General Surgery, Institute of General Surgery, Northern Jiangsu People's Hospital, Clinical Medical College, Yangzhou University, Yangzhou, China.

Clinical Medical College, Yangzhou University, Yangzhou, China.

出版信息

Neoplasma. 2019 Sep;66(5):681-693. doi: 10.4149/neo_2018_181020N786. Epub 2019 Jun 3.

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is one of the most malignant tumors with poor prognosis, and the interaction between activated pancreatic stellate cells (PSCs) and PDAC cells plays an important role in the development of PDAC. The aim of this study was to identify gene changes in BXPC-3 after cross-talk with PSCs and reveal their potential mechanisms. The gene expression profiling analysis of BXPC-3 was completed after co-culture with primary PSCs for 48 h. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed, and the differentially expressed genes (DEGs) were identified by Agilent GeneSpring GX software. In total, 3657 DEGs were identified in BXPC-3, including 1881 up-regulated genes and 1776 downregulated genes. GO analysis results showed that upregulated DEGs were significantly enriched in biological processes (BP), including peptide metabolic process, response to stress and electron transport chain; the downregulated DEGs were significantly enriched in biological processes, including signaling, multicellular organism development and anatomical structure development. KEGG pathway analysis revealed that 19 pathways were upregulated and 32 pathways were downregulated, and that upregulated DEGs were enriched in protein export and glutathione metabolism, while the downregulated DEGs were enriched in axon guidance and focal adhesion. The top 10 upregulated genes and the top 10 downregulated genes were identified. By constructing PPI network, we selected out 10 key genes (TP53, SRC, IL6, JUN, ISG15, CAD, STAT1, OAS3, OAS1, VIM) and significant pathways. The associated survival analysis was performed and the SRC, IL-6, ISG15, STAT1, OAS3, OAS1 and VIM were proved to be related to worse overall survival time of PDAC patients. In conclusion, the present study indicated that the identified DEGs promote our understanding of the molecular mechanisms underlying the interaction between pancreatic cancer cells and PSCs and might be used as molecular targets in the future to study the role of tumor microenvironment in the progression of PDAC.

摘要

胰腺导管腺癌 (PDAC) 是预后最差的恶性肿瘤之一,活化的胰腺星状细胞 (PSC) 与 PDAC 细胞之间的相互作用在 PDAC 的发展中起着重要作用。本研究旨在鉴定与 PSC 交叉对话后 BXPC-3 中的基因变化,并揭示其潜在机制。在与原代 PSC 共培养 48 小时后,完成了 BXPC-3 的基因表达谱分析。进行了基因本体论 (GO) 和京都基因与基因组百科全书通路 (KEGG) 富集分析,并使用 Agilent GeneSpring GX 软件鉴定差异表达基因 (DEGs)。共鉴定出 BXPC-3 中 3657 个 DEGs,包括 1881 个上调基因和 1776 个下调基因。GO 分析结果表明,上调的 DEGs 在生物学过程 (BP) 中显著富集,包括肽代谢过程、应激反应和电子传递链;下调的 DEGs 在生物过程中显著富集,包括信号转导、多细胞生物发育和解剖结构发育。KEGG 通路分析显示,19 条通路上调,32 条通路下调,上调的 DEGs 富集在蛋白质输出和谷胱甘肽代谢,而下调的 DEGs 富集在轴突导向和焦点粘附。鉴定出前 10 个上调基因和前 10 个下调基因。通过构建 PPI 网络,我们选择了 10 个关键基因 (TP53、SRC、IL6、JUN、ISG15、CAD、STAT1、OAS3、OAS1、VIM) 和显著通路。进行了相关的生存分析,结果表明 SRC、IL-6、ISG15、STAT1、OAS3、OAS1 和 VIM 与 PDAC 患者总体生存时间较差相关。总之,本研究表明,鉴定出的 DEGs 促进了我们对胰腺癌细胞与 PSC 相互作用的分子机制的理解,并且将来可能被用作分子靶点,以研究肿瘤微环境在 PDAC 进展中的作用。

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