After constructing the regulatory network in Cytoscape software, we used the CytoNCA tool to calculate various network centrality measures for each node, resulting in six core targets: AKT1, MMP9, PPARG, MMP2, KDR, and ALB. We analyzed the expression levels of these targets in breast cancer and normal tissues and found that only AKT1 and MMP9 were significantly upregulated in breast cancer tissues compared to normal tissues, suggesting that they may be the most promising targets for proton pump inhibitors. Here, MMP2 is linked to breast carcinoma.