Fig. 4: Clinical and molecular parameters associated with discordant risk assignment.

a Venn diagram depicting the number of overlapping genes among each of the four multigene prognostic classifiers. b Dot plot of clinical parameters significantly associated with high and low risk. Statistical analysis was performed using a Chi-square test. Stacked bar graphs illustrate the proportion of selected clinical parameters associated with discordance in either high or low risk, including tumor size (n = 575) (c), node status (n = 575) (d), tumor grade (n = 573) (e), histological subtypes (n = 509) (f), clinical risk as described in the MINDACT trial (n = 568) (g), and treatment with chemotherapy (n = 556) (h). The percentages at the top of each bar denote the proportion of patients with pT2-pT3 tumors (c), node positive status (d), grade 1 (G1) tumors (e), invasive lobular carcinoma (f), low clinical risk (g), and adjuvant chemotherapy treatment (h). Missing or ambiguous clinical data resulted in some clinical parameters having <575 patients. The heatmaps (i) show the significant genes/gene signatures associated with discordance in 1 or 2 prognostic classifiers relative to patients with unanimous agreement (group labeled as 0) for either high (left heatmap) or low (right heatmap) risk. The legends refer to the row metadata for gene/gene signature group, −log₁₀ (adjusted p-value) for all significant Kruskal-Wallis tests (adjusted p-value < 0.05), results from Dunn’s multiple comparison tests for each pairwise comparison (gray box, adjusted p-value < 0.05; white box, adjusted p-value > 0.05), and the z-score normalized expression. Note that the data in the high- and low-risk heatmaps are the same as presented in Supplementary Fig. 11, but the labels for low risk have been changed from 5, 4, and 3 to 0, 1, and 2. Source data are provided as a Source Data file.