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ABSTRACT: Introduction
We undertook an in-depth investigation of the data pertaining to pancreatic adenocarcinoma (PAAD) to identify potential targets for the development of precision therapies.Material and methods
The construction of a protein-protein interaction (PPI) network was based on overlapping differentially expressed genes (DEGs) identified in the GSE16515, GSE32676, and GSE125158 datasets. A subsequent bioinformatic analysis was performed on the interconnected genes within the PPI network, leading to the identification of the central gene, CENPN. In vitro experimentation such as CCK8 and Transwell experiments was employed to elucidate the impact of CENPN expression patterns on PAAD cell proliferation, migration, and invasion. Furthermore, the investigation revealed
SUBMITTER: Xu M
PROVIDER: S-EPMC11623148 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature