Development and Validation of an Immune-Related Prognostic Signature for Ovarian Cancer Based on Weighted Gene Coexpression Network Analysis

Figure 1

Coexpression module construction of ovarian cancer data arrays of TCGA dataset. (a) Clustering dendrograms of the top 25% variant genes based on a dissimilarity measure (1-TOM). (b) A heatmap of the correlations between module eigengenes and ovarian cancer clinical traits. The row represents distinct eigengene modules, and the column represents distinct clinical traits. The corresponding correlation and value are shown in each cell. The table is color-coded by correlation according to the color legend. (c) Bar graphs showing the distribution of the average gene significance and error in the modules associated with ovarian cancer progression. The left graph shows the association between modules and ovarian cancer lymphatic invasion, and the right graph shows the association between modules and ovarian cancer stages. (d) Scatter plots of gene significance (GS) for lymphatic invasion or clinical stage vs. module membership (MM) in the turquoise or blue modules using linear regression.

(a)

(b)

(c)

(d)