Research Paper Volume 12, Issue 13 pp 13318—13337
Subtype-specific risk models for accurately predicting the prognosis of breast cancer using differentially expressed autophagy-related genes
Figure 10. Comprehensive analysis of ARGs in subtype-specific prognostic models. (A) OncoPrint showing the copy number alterations and mRNA expression alterations of 12 ARGs in subtype-specific autophagy prognostic models. The analysis was performed by cBioProtal database using MATABRIC dataset. (B) Protein-protein interaction analysis of genes in subtype-specific autophagy prognostic model by STRING database. (C) Clustered heatmap showing the correlation of genes expression in subtype-specific autophagy prognostic model. The correlation was calculated by Pearson’s correlation using log2 (TPM+1). Not statistically significant correlations were defined as P > 0.05 and marked by a black cross. (D) Clustered heatmap showing the genes expression and clinical information in BRCA patients. (E) Violin plots showing identified gene expression in Luminal, Her-2 and Basal-like BRCA. The P values were calculated by Wilcox-test (two groups comparison) and Kruskal- Wallis test (three groups comparison).