ஐ.எஸ்.எஸ்.என்: 2167-0420
Esther Sauria*
The occurrence of ductal carcinoma in situ (DCIS) as an early type of neoplasia has increased since the implementation of breast screening programmes. Despite the good prognosis, 20%-50% of DCIS patients will develop invasive ductal carcinoma (IDC) if not treated. It is critical to look for promising biomarkers for predicting the prognosis of DCIS. In this study, the Gene Expression Omnibus (GEO) database was used to investigate the expression of genes that differed between DCIS and normal tissue. To characterise the biological role and intrinsic process pathway, enrichment analysis was used. The hub genes were classified using the Cancer Genome Atlas Breast Cancer Dataset, and the results were confirmed using the Cytoscape plugins CytoHubba and MCODE. The core gene signature's prognostic ability was determined using time-dependent receiver operating characteristic (ROC), Kaplan-Meier survival curve, Oncomine databases, and UALCAN databases. Furthermore, the prognostic value of core genes was demonstrated in proliferation assays. In the current study, we discovered 217 common differentially expressed genes (DEGs), with 101 upregulated and 138 downregulated genes. The PPI network was used to obtain the top genes (protein–protein interaction).