Research Paper Volume 10, Issue 4 pp 592—605

Mining TCGA database for genes of prognostic value in glioblastoma microenvironment

Figure 1. Immune scores and stromal scores are associated with GBM subtypes and their overall survival. (A) Distribution of immune scores of GBM subtypes. Box-plot shows that there is significant association between GBM subtypes and the level of immune scores (n=417, p<0.001). (B) Distribution of stromal scores of GBM subtypes. Box-plot shows that there is significant association between GBM subtypes and the level of stromal scores (n=417, p<0.001). (C) Distribution of immune scores for IDH1 mutant and IDH1 wildtype GBM cases. Box-plot shows that there is no significant association between IDH1 mutation status and immune scores (n=417, p=0.2758). (D) Distribution of stromal scores for IDH1 mutant and IDH1 wildtype GBM cases. Box-plot shows that there is no significant association between GBM subtypes and the level of stromal scores (n=417, p=0.3077). (E) GBM cases were divided into two groups based on their immune scores: the top half of 209 cases with higher immune scores and the bottom half of 208 cases with lower immune scores. As shown in the Kaplan-Meier survival curve, median survival of the low score group is longer than high score group (442 days vs. 394 days), as indicated by the log-rank test, p value is 0.0537. (F) Similarly, GBM cases were divided into two groups based on their stromal scores: the top half of 209 cases and the bottom half of 208 cases. The median survival of the low score group is longer than the high score group (442 days vs. 422 days), however, it is not statistically different as indicated by the log-rank test p= 0.1262.