A Glycolysis and gluconeogenesis-related model for breast cancer prognosis
Abstract Background: Breast cancer is a malignant tumor with high morbidity and mortality, which seriously endangers the health of women around the world. Biomarker-based exploration will be effective for better diagnosis, prediction and targeted therapy. Objective: To construct biomarker models related to glycolysis and gluconeogenesis in breast cancer. Methods: The gene expression of 932 breast cancer patients in the Cancer Genome Atlas (TCGA) database was analyzed by Gene Set Variation Analysis (GSVA) using glycolysis and gluconeogenesis-related pathways. Differential expression genes
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