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Official PDF TranslationActa Biochimica et Biophysica Sinica

Identification and experimental validation of core genes associated with breast cancer brain metastasis via machine learning

Authors: Zhaoda Duan; Chunjiao Yu; Wenjie Yang; Qiaoling Ruan; Rui Zhang; Yongfang Zhao; Shan Yan

DOI: 10.3724/abbs.2026037Status: Verified Translated Edition
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Key Findings in This Report

• 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.