To validate the reliability of combining bioinformatics and machine learning analysis, we employed in vitro gene silencing and overexpression techniques to observe the effects of SLC2A1 knockdown, TXNIP upregulation, and ATF3 upregulation on the growth of breast cancer cells and ferroptosis-related indicators. The gene discussed is TXNIP; the disease is breast cancer.