Figure 3.
Panel A: A heat map displays the top 25 and bottom 25 differentially expressed genes in NEPC and non-NEPC tumors from NPp53-SB(plus) and NPp53-SB mice. The heat map uses a color scale from blue (low expression) to yellow (high expression) to indicate gene expression levels. The rows represent genes, and the columns represent individual tumors. The tumors are grouped by phenotype (NEPC or non-NEPC), genotype NPp53-SB(plus) or NPp53-SB (minus), and metastatic status (YES or NO). Panel B: A scatter plot shows the results of principal component analysis (PCA) of the RNA-seq data. The x-axis represents the first principal component (PC1) with 45.67 percent variance, and the y-axis represents the second principal component (PC2) with 17.65 percent variance. The plot includes data points for NEPC and non-NEPC tumors, differentiated by shape and color based on phenotype and genotype. Panel C: Another heat map shows the relative expression of mouse orthologs of gene markers associated with AR-driven and neuroendocrine prostate cancer phenotypes. The heat map uses a similar color scale as Panel A. The rows represent specific gene markers, and the columns represent individual tumors, grouped by phenotype, genotype, and metastatic status.
Transcriptomic analysis of SB mouse prostate tumors. Analyses of RNA-seq data from histologically defined non-NEPC and NEPC tumors from NPp53-SB(−) (n = 8) and NPp53-SB(+) (n = 27) mice. (A) Unsupervised clustering visualized by heatmap analyses. Shown are the top 25 and bottom 25 differentially expressed genes. (B) PCAs. (C) Heatmap showing relative expression of mouse orthologs of gene markers associated with AR-driven and NEPC phenotypes, as defined in human tumors (Labrecque et al., 2019). Phenotype, genotype, and metastatic status are indicated above. See also Tables S1 and S2.