Using machine learning algorithms on multi-omics data from over 6,000 breast cancer patients, we identified six key genes significantly associated with VM and patient risk scores: EP300, PIK3CA, DMXL1, LS, ABL2, and CDK4. The gene discussed is DMXL1; the disease is breast carcinoma.