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Fig. 5 | Cancer Cell International

Fig. 5

From: Pancancer landscape analysis of the thymosin family identified TMSB10 as a potential prognostic biomarker and immunotherapy target in glioma

Fig. 5

Multiomics regulatory profile of TMSB10 in glioma. A waterfall plot of the tumor somatic mutation landscape in the low-TMSB10 and high-TMSB10 samples in the TCGA-LGG (left) and GBM (right) datasets. Each bar represents the mutation information for an individual patient. The top bar plot shows TMB, and the numbers on the right indicate the mutation frequency of each gene. The bar plot on the right shows the proportion of each mutation type. B KEGG enrichment analysis of proteins with significantly different phosphorylation levels in GBM samples with high TMSB10 expression. The right represents the upregulated pathway, and the left represents the downregulated pathway. C Heatmap showing somatic mutation-based alterations in specific proteins and their downstream protein phosphorylation sites. Yellow represents a high level, and blue represents a low level. D KEGG enrichment analysis of proteins with significantly different acetylation levels in GBM samples with high TMSB10 expression. The right represents the upregulated pathway, and the left represents the downregulated pathway. E Interaction of TMSB10-associated miRNAs, mRNA, protein and transcription factor (TF). Upregulated mRNAs (claybank bars in the upper panel) and proteins (blue bars in the lower panel) in TMSB10-high GBM were positively correlated (purple lines) with the expression of 19 TFs (Pearson R > 0.5, p < 0.05). Downregulated miRNAs (red bars, left panel) negatively correlated (green lines) with TF expression (Pearson R< − 0.3, p < 0.05). The targeted pathways of TFs are listed in the panel to the right. The blue line indicates miRNA-targeted mRNAs

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