Figure 3: Proteomic landscape of cervical cancer.
From: Integrated genomic and molecular characterization of cervical cancer
a, Clustered heatmap of samples (columns) and 192 antibodies (rows) for 155 samples (112 overlap with the core set of 178; see Extended Data Fig. 1a). Clusters presented from left to right include hormone (dark blue), EMT (red) and PI3K–AKT (green). A subset of proteins differentially expressed between the clusters is highlighted. Tracks for clinical and molecular features are shown for features that were significantly associated with RPPA clusters (P < 0.05). Correlation between RPPA clusters and other categorical variables were detected by χ2 test, whereas correlations with continuous variables were analysed using the non-parametric Kruskal–Wallis test. In the heatmap, blue represents downregulated expression, red represents upregulated expression and white represents no change in expression. NA, data not available. b, Five-year Kaplan–Meier survival curves and log-rank test P value (P = 6.1 × 10−4) comparing overall survival (OS) across all RPPA clusters using 115 silhouette width core samples (silhouette core; see Supplementary Information 8). c, EMT mRNA score levels were calculated for all samples and compared across RPPA clusters. P = 0.001 (one-way ANOVA). d, Pathway scores for EMT, hormone-receptor and PI3K–AKT signalling pathways are presented for all RPPA clusters (x axis); Kruskal–Wallis test used to identify significant pathway score differences between the clusters.
