Fig. 2
From: Tumor-antigens and immune landscapes identification for prostate adenocarcinoma mRNA vaccine
Identification of immune subtypes and immune landscape of PRAD. A Identification of the clusters of TCGA-PRAD cohort using partition around medoids algorithm. B-C Survival comparison among the PRAD immune subtypes in the training cohort and validation cohort. D The prediction of the response to anti-PD-L1 immunotherapy for PRAD immune subtypes. E The distribution of PIS1, PIS2, and PIS3 in the groups with or without biochemical recurrence. F Association between PRAD immune subtypes and existing pan-cancer immune subtypes. G Copy number variation (CNV) across chromosomes across the PRAD immune subtypes. H-I Mutation counts and tumor mutation burden across PIS1, PIS2, and PIS3. J Homologous recombination deficiency score for each PRAD immune subtype. K The comparison of mRNA stemness index across PIS1 to PIS3. L Immune landscape of PRAD. Each point represents a patient and the immune subtypes are color-coded. M Association between two principal components and immune cells. N Immune landscape of the PIS1 and PIS3 subsets. O Immune landscape of four subsets of samples from extreme locations. P Survival curves of four subsets of samples from extreme locations. * P < 0.01, ** P < 0.001, and *** P < 0.0001