Identification of Arginine biosynthesis protein involved in breast cancer based on microarray

Breast cancer is a complex disease characterized by significant alterations in gene expression. This study identified differentially expressed genes (DEGs) across three datasets (GSE۴۲۵۶۸, GSE۲۹۴۳۱, and GSE۱۰۸۱۰), revealing ۴۶ upregulated and ۲۵۰ downregulated genes. Protein-protein interaction (PPI) network analysis highlighted key hub genes, with upregulated genes primarily involved in cell cycle regulation and mitosis, while downregulated genes were linked to lipid metabolism and cellular differentiation. Functional enrichment analysis using Gene Ontology (GO) and KEGG pathway analysis demonstrated that upregulated DEGs were enriched in mitotic cell cycle processes and p۵۳ signaling, whereas downregulated DEGs were associated with metabolic pathways such as AMPK and PPAR signaling. These findings suggest potential targets for breast cancer diagnosis and therapy. Further experimental validation is needed to confirm the functional roles of the identified DEGs, and integrating multi-omics data could enhance our understanding of breast cancer biology, paving the way for improved treatment strategies.

کلیدواژه ها:

Breast cancer ، Differentially expressed genes ، Protein-protein interaction network