To show that explored genes presented in Table interact closely with the metabolites from the original open-source dataset and impact mammalian breast cancer, we used MetaboAnalyst's 5.0 Network Analysis, especially its Metabolite-Gene-Disease Interaction Network application. This network provides a scheme of potential functional relationships between metabolites, connected genes, and target diseases. The breast cancer node has connectivity degree 2 and betweenness centrality 72.02. The two nodes to which it connected are CDH1 and TP53 with connectivity degree 4 and 12 and betweenness centrality 306.39 and 1052.70, accordingly. The higher is connectivity of a node, the more significant it is. Centrality is used to measure the importance of various nodes in a network. Betweenness centrality defines and measures the importance of a node in a network based upon how many times it occurs in the shortest path between all pairs of nodes in the network. Nodes with a high betweenness centrality can represent important proteins in signaling pathways and can form targets for drug discovery. The network helps to elucidate The significance of pathway is determined by p-value and impact. The lower the p-value, the more significant is pathway. Pathway impact represents a combination of centrality and pathway enrichment results. Centrality assigns the importance to nodes in pathway. To calculate the impact, we use the degree MAPK signaling pathway plays an important role in cancer development because its abnormal activation leads to increased/uncontrolled cell proliferation and resistance to apoptosis. Its activation is responsible for around 40% of all cancers. Pathways in cancer pathway includes 14 significant pathways, which functions are necessary for cancer growth and progression. JAK-STAT signaling pathway is involved in the proliferation, progression, metastasis, and survival in various types of tumor cells. It plays an important role in mammary cancer development. ErbB signaling pathway regulates cell proliferation, migration, differentiation, apoptosis, and cell motility. It includes four family members: ERBB1 (EGFR, or HER1), ERBB2 (HER2), ERBB3 (HER3), and ERBB4 (HER4). They are over-expressed, amplified, or mutated in many forms of cancer, especially in breast cancer. There are also some metabolism pathways: Choline metabolism, Focal adhesion, Central carbon metabolism, Proteoglycans in cancer, Phospholipase D signaling pathway, and GAP junction, which are important in cancer development.