Fig. 1

a Differential expression of the Notch signaling pathway genes in different breast cancer subtypes. Gene expression of the Notch receptors NOTCH1, NOTCH2, NOTCH3; Notch Ligands JAG1, DLL1, and LFNG, ST3GAL6, FBXW11, DTX1, DTX2, DTX4, and CUL1. Data were extracted from the METABRIC dataset and categorized into five subtypes according to Pam50 gene expression subtype classification (Basal/Claudin-low, HER2, Luminal A, and Luminal B). Scatterplots show a significant association between breast cancer subtypes and the level of gene expression in breast cancer patients. Data were analyzed by one-way ANOVA followed by Tukey’s post hoc test. Statistically significant values of (P-value*: P-value < 0.05, **: P-value < 0.001, ***: 0.0001 < P-value = 0.0001, ****: P-value < 0.0001) were determined. b Differential expression of the Notch signaling pathway genes in different breast cancer subtypes. ARRB1, SKP1, RBX1, KAT2A, MAML2, PPARD, TCF7L2, PSENEN, APHIA, PSEN2, PRKCA, and SAP30 gene expression pattern in breast cancer subtypes. Data were extracted from the METABRIC dataset and categorized into five subtypes according to Pam50 gene expression subtype classification (Basal/Claudin-low, HER2, Luminal A, and Luminal B). Scatterplots show a significant association between breast cancer subtypes and the level of gene expression in breast cancer patients. Data were analyzed by one-way ANOVA followed by Tukey’s post hoc test. Statistically significant values of (P-value*: P-value < 0.05, **: P-value < 0.001, ***: 0.0001 < P-value = 0.0001, ****: P-value < 0.0001) were determined. c Differential expression of the Notch signaling pathway genes in different breast cancer subtypes. HEYL, HES1, CCND1, WNT2, WNT5A, FZD1, FZD5, and FZD7 gene expression in different breast cancer subtypes. Data were extracted from the METABRIC dataset and categorized into five subtypes according to Pam50 gene expression subtype classification (Basal/Claudin-low, HER2, Luminal A, and Luminal B). Scatterplots show a significant association between breast cancer subtypes and the level of gene expression in breast cancer patients. Data were analyzed by one-way ANOVA followed by Tukey’s post hoc test. Statistically significant values of (P-value*: P-value < 0.05, **: P-value < 0.001, ***: 0.0001 < P-value = 0.0001, ****: P-value < 0.0001) were determined