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Fig. 8 | Biology Direct

Fig. 8

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. 8

Robust prognostic assessment and therapeutic insights via the VNRS model. (A-B) The barplot illustrates the favorable prognostic factors for the high-risk and low-risk score groups. These factors highlight key immune cells associated with better clinical outcomes in each group. (C-D) The dot plot displays the cell-type pairs that are beneficial for prognosis based on cell-cell interaction analysis in the high-risk and low-risk score groups. (E) Boxplot showing the metabolic differences between the high-risk and low-risk score groups. This analysis identifies key metabolic pathways or metabolites that are dysregulated in each group, providing insights into the metabolic reprogramming associated with risk stratification. (F) Boxplot comparing the expression levels of tumor-associated gene signatures between the high-risk and low-risk score groups. These signatures represent key biological processes or pathways that are differentially activated in each group, offering potential mechanistic explanations for their prognostic differences. (G) OncoPredict drug sensitivity analysis results show the IC50 of drugs (WIKI4 and ZM447439) between the high-risk score group and the low-risk score group

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Biology Direct

ISSN: 1745-6150

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