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Fig. 5 | European Journal of Medical Research

Fig. 5

From: Multi-omics and immunogenomics analysis revealed PFKFB3 as a targetable hallmark and mediates sunitinib resistance in papillary renal cell carcinoma: in silico study with laboratory verification

Fig. 5

Correlation of GIRPI with tumor immune-infiltrating characteristics and screening out the potential therapeutic strategies for pRCC patients based on GIRPI. A The histogram exhibits the different immune cell fractions between high-risk and low-risk groups. B Spearman correlation between risk score and immune infiltration. C The histogram compared several major immune checkpoints gene expression between the high-risk group and low-risk group. D Sensitivity prediction of four commonly used chemotherapeutic drugs. E The 3D structure tomography of candidate small-molecule drugs targeting GIRPI signature (Prestwick-984, resveratrol, 15-delta prostaglandin J2, 6-bromoindirubin-3'-oxime, methotrexate, and butoconazole). F CMap mode-of-action (MoA) analysis of potential compounds. G Bubble plot of the correlation of NUP43, NUP107, CRTC2, and PFKFB3 in GDSC drug sensitivity database. The color from blue to red represents the correlation between mRNA expression and IC50. The bubble size positively correlates with the FDR significance

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