A total of nine core targets of baicalin in the treatment of triple-negative breast cancer, including AKT1, ESR1, TNF-α, SRC, EGFR, MMP9, JAK2, PPARG, and GSK3B, were identified through the construction of the PPI protein interactions network and the ‘Traditional Chinese Medicine-Component-Target-Disease’ network, and a total of 252 targets related to the intersected targets were identified in the GO analysis. This evidence concerns the gene JAK2 and triple-negative breast carcinoma.