Identification of key biomarkers and potential signaling pathway associated with poor progression of gastric cancer.

ABSTRACT:

Background

We aimed to identify the key differentially expressed genes (DEGs) associated with poor prognosis in gastric cancer (GC) and to elucidate the underlying molecular mechanisms in order to provide a therapeutic target for this disease.

Methods

The DEGs common in two datasets, GSE54129 and GSE79973, were screened. GO and KEGG enrichment analyses were then performed for these DEGs using DAVID's tool. STRING and the Cytoscope software were also used to analyze the protein-protein interaction (PPI) networks of the DEGs common between the two datasets.

Results

A total of 164 common DEGs were identified from GSE79973 and GSE54129 datasets, 42 were up-regulated and 122 were down-regulated in GC. KEGG analysis demonstrated that up-regulated DEGs were mainly enriched f

SUBMITTER: Hu Y 

PROVIDER: S-EPMC8799033 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature