Research Paper Volume 15, Issue 22 pp 13345—13367

Immune microenvironment heterogeneity reveals distinct subtypes in neuroblastoma: insights into prognosis and therapeutic targets

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Figure 1. Analysis of Fges activity scores reveals the heterogeneity of the neuroblastoma microenvironment and its significant impact on prognosis. (A) Circular stacked bar plot shows the distribution of activity scores of 29 Fges in TARGET-NB patients. Different colors represent different gene sets (Supplementary Tables 2 and 3). (B) Box plot shows the distribution of activity scores of Fges in TARGET-NB patients in different groups, with p-values obtained by Wilcoxon rank-sum test. Abbreviation: ns: not significant; *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001. (top panel) COG risk groups; (middle panel) INSS stages; (bottom panel) MYCN amplified or not. (C) Network plot displays the interaction of Fges within the microenvironment of NB and their influence on the prognosis of patients. Positive Pearson correlations between sets of genes are represented by red lines, while significant negative associations are denoted by blue lines. The significance of each gene set in predicting the prognosis of NB patients is depicted by the size of the corresponding circle. Gene sets that have a protective effect are shown in green, while those that pose a risk are represented in red; otherwise, they are shown in gray.