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

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 Dong Tang, Qi Wu, Zhongxu Yuan, Jiaming Xu, Hongpeng Zhang, Zhixiang Jin, Qi Zhang, Minghao Xu, Zheng Wang, Zhujiang Dai, Huiwen Fang, Zhen Li, Chaobiao Lin, Chunfeng Shi, Mengyue Xu, Xiaoming Sun,  Daorong Wang

Abstract:

It is well known that as the king of cancer, pancreatic ductal adenocarcinoma (PDAC) has relatively malignant biological behavior and poor prognosis. The interaction between pancreatic stellate cells and PDAC cells promotes the development of PDAC. The aim of this study was to describe gene characteristics in pancreatic stellate cell (PSCs) after cross-talked with BXPC-3 and unravel their underlying mechanisms. The expression profiling analysis of genes in PSCs was completed after co-cultured with primary BXPC-3 for 48h. The Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis and gene ontology (GO) analysis were performed, and the differentially expressed genes (DEGs) were identified by Agilent GeneSpring GX program. In total, 1804 DEGs were filtered out in PSCs, including 958 up-regulated genes and 846 downregulated genes. GO analysis showed that the up-regulated DEGs were significantly enriched in biological processes (BP) such as defense response, immune system process and immune response; the down-regulated DEGs were significantly enriched in biological regulation and cytoskeleton organization. KEGG pathway analysis showed that 28 pathways were upregulated and 5 were downregulated. By constructing PPI network, we selected out 10 key genes (IL6,IL8, IL1B, BCL2, CCL2, CSF2, KIT, ICAM1, PTPRC and IGF1) and significant enriched pathways. In conclusion, the current study suggests that the filtered DEGs contribute to our understanding of the molecular mechanisms underlying the interaction between PSCs and pancreatic cancer cells, and might be used as molecular targets to further the study the role of tumor microenvironment in the progression of PDAC.

Received date: 09/25/2018

Accepted date: 12/19/2018

Ahead of print publish date: 02/15/2019

Issue: 3/2019

Volume: 66

Pages: 446 — 458

Keywords: Bioinformatics analysis, pancreatic duct adenocarcinoma (PDAC), pancreatic stellate cell (PSCs), different expression genes (DEGs)

Supplementary files:
Figure S1a - TE.tif
Figure S1b.pdf

DOI: 10.4149/neo_2018_180925N714

Pubmed

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