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Fig. 7 | Biology Direct

Fig. 7

From: Large-scale bulk and single-cell RNA sequencing combined with machine learning reveals glioblastoma-associated neutrophil heterogeneity and establishes a VEGFA+ neutrophil prognostic model

Fig. 7

Immune infiltration and checkpoint activation in high VNRS risk GBM. (A-D) Violin plots comparing the Stromal Score, Immune Score, Tumor Purity, and ESTIMATE Score between the high- and low-risk groups. These scores reflect the composition of the TME. (E) Boxplot displaying the ssGSEA scores for immune cell gene sets derived from previously published studies. These scores quantify the relative abundance of specific immune cell populations in the high- and low-risk groups, revealing differences in immune cell infiltration and activation. (F) Boxplot showing the scores of pan-cancer immune metagenes, which represent consensus immune-related gene signatures across various cancer types. (G) Correlation matrix illustrating the associations between the expression levels of ICI genes in the high- and low-risk groups. This analysis identifies potential co-expression patterns and interactions among these genes, which may influence immune evasion or response to immunotherapy. (H) Boxplot comparing the expression levels of ICI genes between the high- and low-risk groups. This analysis revealed differences in the expression of key immune checkpoint molecules, providing insights into the immune landscape and potential therapeutic vulnerabilities

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Biology Direct

ISSN: 1745-6150

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