• Identified 89 BCBM-related candidate genes via WGCNA and differential expression analysis, with 29 overlapping genes further refined by LASSO and random forest.
• Machine learning approaches pinpointed core genes with high diagnostic and therapeutic potential for breast cancer brain metastasis.
• The study provides a bioinformatics framework integrating WGCNA and ML to uncover biomarkers, potentially improving BCBM prognosis and treatment.
• Experimental validation of core genes is emphasized, bridging computational predictions with clinical applicability.