Research Paper Volume 12, Issue 21 pp 21544—21558

TCGA and ESTIMATE data mining to identify potential prognostic biomarkers in HCC patients

Figure 1. Immune scores and stromal scores are associated with HCC disease-free survival. (A) TCGA liver cancer expression profile data using ESTIMATE method to calculate immune score and matrix score. Box-plot shows that the level of Immune scores and stromal scores. (B) Heatmap of the DEGs of immune scores of top half (high score) vs. bottom half (low score). p<0.05, fold change >1). Genes with higher expression are shown in red, lower expression are shown in green, genes with same expression level are in black. (C) HCC cases were divided into two groups based on their immune scores. Median disease-free survival of the high score group is longer than low score group (log-rank test, p<0.05). (D) Similarly, HCC cases were divided into two groups based on their stromal scores. The median disease-free survival of the low score group is longer than the high score group (log-rank test p=0.43), however, it is not statistically different.