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Fig. 2 | Journal of Translational Medicine

Fig. 2

From: Identification of ISG15 and ZFP36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification

Fig. 2

Construction and evaluation of prognostic signature based on DE-HRGs and DE-IRGs in the training set. A Hypoxia- and immune-related DEGs were obtained by the Venn analysis. B, C The top 20 enriched biological processes (BPs) of GO terms and KEGG pathways based on hypoxia- and immune-related DEGs. D Forest plot of univariate Cox analysis. E Forest plot of stepwise multivariate regression analysis. F The K–M curves of the ISG15 and ZFP36. G, H The distribution of risk scores for each patient and the expression of the two prognostic genes in high- and low- risk groups. I Kaplan–Meier curve of high- and low-risk groups in the training set. J ROC curves of 1/3/5 years predictions in training set

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Journal of Translational Medicine

ISSN: 1479-5876

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