Fig. 2From: Identification and validation of an individualized metabolic prognostic signature for predicting the biochemical recurrence of prostate cancer based on the immune microenvironmentThe 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 groupsBack to article page