fig1

Integrated multi-omics profiling of immune microenvironment and drug resistance signatures for precision prognosis in prostate cancer

Figure 1. TCGA tissue sample clustering. (A) Optimal cluster number selection. The optimal number is determined by calculating the average silhouette value, with the optimal number corresponding to the maximum silhouette value (dotted line); (B) Dimensionality reduction plot resulting from k-means clustering. Each point on the graph signifies an individual sample and each color represents a sample subgroup; (C) Box plot of immune cell infiltration level. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001, and no symbol indicates no significant difference; (D) Stacked bar chart of the proportions of 22 immune cell infiltrations. The format displayed on the X- and Y-axes illustrates sample groups and the proportion of infiltration levels, respectively; (E) Heatmap of the immune infiltration. The colors represent the infiltration levels or scores. TCGA: The Cancer Genome Atlas.

Cancer Drug Resistance
ISSN 2578-532X (Online)

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