CCNB2 Expression and Prognosis in Breast Cancer: Insights into Therapeutic Targets

In this study, an intersection analysis was conducted on differentially expressed genes (DEGs) between tumor tissues of breast cancer (BC) and normal controls from The Cancer Genome Atlas (TCGA) database. Genes screened by survival analysis were selected, and protein-protein interaction was analyzed using the STRING database to determine hub DEGs. The candidate gene identified was CCNB2. There is a strong association between high expression of CCNB2 and poor prognosis of BC. Additionally, potential mechanisms contributing to this association include the cell cycle signaling pathway, microsatellite instability (MSI), tumor mutation burden (TMB), and tumor infiltrating immune cells (TIICs), particularly Treg and MDSCs. Furthermore, the correlation between CCNB2 and immune checkpoint molecules was explored, and the relationship between the sensitivity of major anticancer drugs and the expression of CCNB2 was predicted. The findings of this study are expected to provide valuable insights for the development of effective therapies for the treatment of BC.