This article explores the expanding role of molecular diagnostics in breast pathology. It emphasizes how immunohistochemistry, fluorescence in situ hybridization, and next-generation sequencing define tumor subtypes with recurrent genetic alterations, while predictive biomarkers such as ESR1, human epidermal growth factor receptor 2, PD-L1, and BRCA1/2 direct targeted therapies. The article highlights the diagnostic value of entity-specific fusions and mutations, the therapeutic implications of rare molecular events, and the promise of artificial intelligence-driven gene expression-based prediction models in cancers of unknown primary. These advances illustrate how molecular tools complement morphology, refine classification, and enable precision medicine in breast cancer care.
山东省济南市章丘区文博路2号
齐鲁师范学院 genelibs生信实验室
山东省济南市高新区舜华路750号
大学科技园北区F座4单元2楼
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