September 10, 2025BMC Medical GenomicsOpen Access

A lipid metabolism-related gene signature predicts prognosis after tamoxifen treatment in ER + breast cancer and reflects tumor microenvironment heterogeneity through single-cell analysis

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Prognostic model reveals tumor microenvironment heterogeneity and identifies drug sensitivity in patients.

High-risk patients had worse survival outcomes than low-risk individuals, suggesting potential for clinical evaluation.
The five-year overall survival AUC was 0.858, indicating the model's solid performance in predicting outcomes.
Analysis included lipid metabolism gene expression and machine learning methods applied to multiple datasets.
Findings highlight the link between lipid metabolic reprogramming and immune response in tamoxifen-treated patients.

Ma et al. (2025) studied this question.

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September 10, 2025BMC Medical GenomicsOpen Access

View Full Paper

Ask AI

Bookmark

Authors

Prognostic model reveals tumor microenvironment heterogeneity and identifies drug sensitivity in patients.

High-risk patients had worse survival outcomes than low-risk individuals, suggesting potential for clinical evaluation.
The five-year overall survival AUC was 0.858, indicating the model's solid performance in predicting outcomes.
Analysis included lipid metabolism gene expression and machine learning methods applied to multiple datasets.
Findings highlight the link between lipid metabolic reprogramming and immune response in tamoxifen-treated patients.

Ma et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark