Bioinformatic evidences and analysis of putative biomarkers in pancreatic ductal adenocarcinoma.

ABSTRACT:

Background

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal human cancers. Aberrant expression of genes plays important role in the procession of PDAC. The analysis of gene expression profile will contribute to the research of carcinoma mechanism.

Objective

This present study is focused to investigate the differentially expressed genes (DEGs) from 3 PDAC microarray datasets, which would provide candidate genes for putative biomarkers to understand the mechanism of PDAC and potential targets of treatment.

Method

Based on the overlap genes obtained from 3 GEO datasets, the hub genes were identified using STRING and Cytoscape plugin MCODE. The enrichment and function analysis were applied using DAVID. The protein-protein interaction network was performed

SUBMITTER: Gu Y 

PROVIDER: S-EPMC6717170 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature