biostudies-literatureLu DNatural Science Foundation of Hubei Provincethe PhD fellowship of Nanchang Hangkong University1749https://www.ebi.ac.uk/biostudies/studies/S-EPMC12480192biostudies-literatureUnknown16(1)<h4>Background</h4>The impact of tyrosine metabolism on the early diagnosis and treatment of breast cancer remains unclear. This underlines importance of exploring its mechanisms.<h4>Methods</h4>This study conducted an integrated analysis of breast cancer transcriptome data from the TCGA and GEO databases, utilizing differential expression analysis, enrichment analysis, immune infiltration analysis, single-cell RNA sequencing analysis, hdWGCNA analysis, and molecular docking to investigate the role of tyrosine metabolism in breast cancer and its relationship with chemotherapy response.<h4>Results</h4>The co-expression prognosis model of tyrosine metabolism developed in this study demonstrated superior performance in the prognostic assessment of breast cancer, achieving an AUC value of 0.73Discover oncologyDeciphering key chemotherapeutic drug targets within tyrosine metabolism for breast cancer and advancing a wide-ranging diagnostic strategy.PMC124801922019CFB391EA202008259Shi HHYang JWu RMChen DJLu DYi CCao SHJiang SXie ZLfalseDeciphering key chemotherapeutic drug targets within tyrosine metabolism for breast cancer and advancing a wide-ranging diagnostic strategy.<h4>Background</h4>The impact of tyrosine metabolism on the early diagnosis and treatment of breast cancer remains unclear. This underlines importance of exploring its mechanisms.<h4>Methods</h4>This study conducted an integrated analysis of breast cancer transcriptome data from the TCGA and GEO databases, utilizing differential expression analysis, enrichment analysis, immune infiltration analysis, single-cell RNA sequencing analysis, hdWGCNA analysis, and molecular docking to investigate the role of tyrosine metabolism in breast cancer and its relationship with chemotherapy response.<h4>Results</h4>The co-expression prognosis model of tyrosine metabolism developed in this study demonstrated superior performance in the prognostic assessment of breast cancer, achieving an AUC value of 0.732025-01-01T00:00:00Z2025 Sep2026-07-15T09:48:06.721Z2026-07-02T03:11:50.02ZS-EPMC124801924102117310.1007/s12672-025-03577-x