Bulk RNA-seq and molecular subtype dataset from a multi-region prostate cancer cohort

The study analyzed 93 prostate cancer lesions from 63 patients, together with 74 matched adjacent tissues, and integrated these data with TCGA, GTEx and multiple independent validation cohorts to establish and validate an epithelial lineage-based molecular classification framework.

Using gene set enrichment analysis, unsupervised clustering and a random forest classifier, samples were assigned to four molecular subtypes: C4 Luminal, C3 Epithelial, C2 Stem-neuro and C1 Stromal. The dataset supports analyses of epithelial lineage programs, androgen receptor signaling, metabolic pathways, immune microenvironment features, clinicopathological variables, predicted therapeutic responses, PSA progression outcomes and associations with PSMA/FDG PET-CT imaging phenotypes.