A Framework to Predict the Molecular Classification and Prognosis of Breast Cancer Patients and Characterize the Landscape of Immune Cell Infiltration

Figure 2

Identification and comprehensive analysis of immunogenic gene clusters. (a) Heatmap with unsupervised clustering analysis of all DEGs in the three ICI patterns, dividing TCGA-BRCA patients into three genomic clusters, defined as ICI gene clusters A-C. Rows represent genes and columns represent samples. (b) Survival analysis for the three ICI gene clusters in TCGA-BRCA patients using Kaplan-Meier curves. The log-rank test showed that . Functional annotation of ICI gene clusters (c) A and (d) B using GO enrichment analysis. The circle size of the bubble plots represented the number of enriched genes. (e) Box plot for abundance of each immune infiltrating cell in the three ICI gene clusters. The asterisks represented the statistical value (Kruskal-Wallis test, ). Violin plots of the differential expression of (f) PD1 and (g) PD-L1 among the three ICI gene clusters. The statistical differences among ICI gene clusters were compared by Kruskal-Wallis test ().

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