2026-10-14T20:22:28Z https://www.scidb.cn/oai

10.57760/sciencedb.37998 2026-06-23T19:41:28Z

2026-06-23 Bulk RNA-seq and molecular subtype dataset from a multi-region prostate cancer cohort doi:10.57760/sciencedb.37998 en This dataset contains bulk RNA sequencing (RNA-seq) and molecular subtype information generated from a multi-region, multi-modal 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. Data files may include gene-expression matrices, sample clinical annotations, molecular subtype labels, GSVA/pathway activity scores, immune infiltration scores, drug-response prediction outputs, PET imaging metrics and downstream statistical result tables. prostate cancer; bulk RNA sequencing; molecular subtype; epithelial lineage; GSVA; PET-CT Xingbo Long RESTRICTED dataset Science Data Bank