Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015 Sep;19(18):3367-74.

Microarray based analysis of gene expression patterns in pancreatic neuroendocrine tumors

D-D Wang  1 , Z-W Liu, M-M Han, Z-M Zhu, Y-L Tu, C-Q Dou, X Jin, S-W Cai, N Du
Affiliations
  • PMID: 26439030
Free article

Microarray based analysis of gene expression patterns in pancreatic neuroendocrine tumors

D-D Wang et al. Eur Rev Med Pharmacol Sci. 2015 Sep.
Free article

Erratum in

  • Erratum.
    Wang DD, Liu ZW, Han MM, Zhu ZM, Tu YL, Dou CQ, Jin X, Cai SW, Du N. Wang DD, et al. Eur Rev Med Pharmacol Sci. 2016 Mar;20(5):788. Eur Rev Med Pharmacol Sci. 2016. PMID: 27010128 No abstract available.

Abstract

Objective: Pancreatic neuroendocrine tumors (PanNETs) are a small subgroup of tumors with a variety of biological behaviors.

Materials and methods: We sought to identify the specially expressed genes and characterize significant pathways in PanNETs compared with non-neoplastic samples. Gene expression profile GSE43795 was obtained from Gene Expression Omnibus database, which included 6 PanNETs and 5 non-neoplastic samples. The differentially expressed genes (DEGs) were identified using Limma package. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used to enrich the functions and pathways of DEGs. Transcription factors (TFs) and tumor-associated genes (TAGs) were also identified. Finally, a protein-protein interaction (PPI) network was constructed, and hub proteins and functional module were screened out.

Results: Total of 821 DEGs (421 down-regulated, 400 up-regulated) were selected. GO and KEGG enrichment analyses showed that up-regulated DEGs were related to several pathways, including type 2 diabetes mellitus, Ca2+ signaling pathway, long-term potentiation, and long-term depression pathways. Down-regulated DEGs were enriched in several pathways, such as pancreatic secretion, protein digestion and absorption, and metabolic pathway. Interferon-stimulated gene protein 15 (ISG15), somatostatin (SST), and synaptosomal-associated protein 25 kDa (SNAP25) were identified as hub proteins.

Conclusions: The genes involved in type 2 diabetes mellitus pathway may play important roles in the development of PanNETs. SNAP25, SST, and ISG15 may be used as potential targets for treatment of PanNETs.

PubMed Disclaimer

MeSH terms

Substances