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Breast cancer is a heterogeneous diseaseTumor cells and associated healthy cells form ecosystems that determine disease progress and response to treatmentTo characterize the characteristics of the breast cancer ecosystem and its relationship to clinical data, we analyzed 144 human breast tumors and 50 non-tumor tissue samples using mass spectrometryThe expression of 73 proteins in 26 million cells was evaluated using tumors and immune cell-centric antibody groups
The results showed that tumors showed personality in tumor cell composition, including phenotype abnormalities and phenotype advantagesAnalysis of the relationship between tumors and immune cells reveals ecosystem characteristics associated with immunosuppression and prognosisHigh-frequency PD-L1 plus tumor-related macrophages and tired T-cells were found in high-level ER-plus and ER-tumors
In summary, this large-scale single-cell map deepens our understanding of the breast tumor ecosystem and shows that ecosystem-based patient classification sits to help identify individuals with sophisticated medical methods for tumors and their immune environments