Network and pathway-based analysis of candidate genes associated with esophageal adenocarcinoma

ABSTRACT:

Background

Previous studies have made some headway in analyzing esophageal adenocarcinoma (EA) with respect to pathogenic factors, treatment methods, and prognosis. However, far less is known about the molecular mechanisms. Thus, a comprehensive analysis focusing on the biological function and interaction of EA genes would provide valuable information for understanding the pathogenesis of EA, which may provide new insights into gene function as well as potential therapy targets.

Methods

We selected 109 genes related to EA by reviewing 458 publications from the PubMed database. In addition, performing gene enrichment assays, pathway enrichment assays, pathway crosstalk analysis, and extraction of EA-specific subnetwork were used to describe the relevant biochemical process

SUBMITTER: Li J 

PROVIDER: S-EPMC10007923 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature