title: Uncovering the pathogenesis and identifying novel targets of pancreatic cancer using bioinformatics approach.
abstract: Pancreatic cancer is a uniformly lethal disease that can be difficult to diagnose at its early stage. Thus, our present study aimed to explore the underlying mechanism and identify new targets for this disease. The data GSE16515, including 36 tumor and 16 normal samples were available from Gene Expression Omnibus. Differentially expressed genes (DEGs) were screened out using Robust Multichip Averaging and LIMMA package. Moreover, gene ontology and pathway enrichment analyses were performed to DEGs. Followed with protein-protein interaction (PPI) network construction by STRING and Cytoscape, module analysis was conducted using ClusterONE. Finally, based on PubMed, text mining about these DEGs was carried out. Total 274 up-regulated and 93 down-regulated genes were identified as the common DEGs and these genes were discovered significantly enriched in cell adhesion and extracellular region terms, as well as ECM-receptor interaction pathway. In addition, five modules were screened out from the up-regulated PPI network with none in down-regulated network. Finally, the up-regulated genes, including MIA, MET and CEACAMS, and down-regulated genes, such as FGF, INS and LAPP, had the most references in text mining analysis. Our findings demonstrate that the up- and down-regulated genes play important roles in pancreatic cancer development and might be new targets for the therapy.
authors.affiliation: Department of Gastroenterology, The Fourth Affiliated Hospital of Harbin Medical University, No. 37 Yiyuan Street, Nangang District, Harbin, 150001, Heilongjiang, China.
authors.forename: Li-Li
authors.initials: LL
authors.lastname: Zhao
authors.forename: Tong
authors.initials: T
authors.lastname: Zhang
authors.forename: Li-Wei
authors.initials: LW
authors.lastname: Zhuang
authors.forename: Bing-Zhu
authors.initials: BZ
authors.lastname: Yan
authors.forename: Rui-Feng
authors.initials: RF
authors.lastname: Wang
authors.forename: Bing-Rong
authors.initials: BR
authors.lastname: Liu
mesh_terms: D019295:Computational Biology; D057225:Data Mining; D030541:Databases, Genetic; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D006801:Humans; D053858:Metabolic Networks and Pathways / Q000235:genetics; D009363:Neoplasm Proteins / Q000235:genetics* / Q000378:metabolism; D010190:Pancreatic Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology; D025941:Protein Interaction Mapping; D015398:Signal Transduction
chemical_list: D009363:Neoplasm Proteins
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