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Dataset Information

Identifying Hub Genes and Pathways in Pancreatic Ductal Adenocarcinoma (PAAD): A comprehensive in silico study.


ABSTRACT:

Background

One of the most aggressive tumors is pancreatic ductal adenocarcinoma (PAAD), which is usually discovered at an advanced stage and is linked to a poor response to current treatment options and a significant risk of metastasis.

Methods

The Gene Expression Omnibus (GEO) database selected GSE15471, GSE28735, GSE62165, and GSE16515. Differentially expressed genes (DEGs) were defined as having a logFC of >1 and ≤ -1 and an adjusted p-value of less than 0.05. Differentially expressed genes (DEGs) from the four datasets were identified using the GEO2R tool. KEGG and GO databases were used to identify related pathways. PPIs were analyzed using Cytoscape and Gephi. A GEPIA analysis confirmed the target genes.

Results

The analysis of protein-protein interactions (PPI

SUBMITTER: Karimi E 

PROVIDER: S-EPMC11794163 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature