Identification of Key Genes in Breast Cancer by Gene Co-expression Network Analysis and Betweeness Centrality

In this paper, breast cancer gene markers were studied by betweeness centrality and weighted gene co-expression network analysis. The key genes ABCA5and BLOC1S6 were identified by weighted gene co-expression network analysis. Through betweeness centrality, key genes of breast cancer HSPDl and DICERI were screened, which have been proved to be related to the proliferation and metastasis of breast cancer. Kaplan-Meier survival analysis was used to analyze the prognosis of two groups of key genes. The results showed that the key genes identified by betweeness centrality have better prognosis than those identified by weighted gene co-expression network analysis.