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ABSTRACT: Purpose
It is important to comprehend how the molecular mechanisms shift when gastric cancer in its early stages (GC). We employed integrative bioinformatics approaches to locate various biological signalling pathways and molecular fingerprints to comprehend the pathophysiology of the GC. To facilitate the discovery of their possible biomarkers, a rapid diagnostic may be made, which leads to an improved diagnosis and improves the patient's prognosis.Methods
Through protein-protein interaction networks, functional differentially expressed genes (DEGs), and pathway enrichment studies, we examined the gene expression profiles of individuals with chronic atrophic gastritis and GC.Results
A total of 17 DEGs comprising 8 upregulated and 9 down-regulated genes were identif
SUBMITTER: Selvan TG
PROVIDER: S-EPMC10439097 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature