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Fig. 2 | European Journal of Medical Research

Fig. 2

From: Identification and validation of an individualized metabolic prognostic signature for predicting the biochemical recurrence of prostate cancer based on the immune microenvironment

Fig. 2

The tumor microenvironment and immunophenotype of patients with PCa in the TCGA cohort. A The ssGSEA algorithm and hierarchical cluster analysis were used to determine the immune characteristics and tumor microenvironment landscape of PCa patients. B Differences in the infiltration of 22 immune cells between the low-immunity and high-immunity groups were determined based on the CIBERSORT algorithm. The violin plot displays the ImmuneScore (C), StromalScore (D), EstimateScore (E), TumourPurity (F) between the low-immunity and high-immunity groups

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