{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["37(1)"],"submitter":["Ding T"],"pubmed_abstract":["<h4>Objective</h4>Prostate cancer (PCa) is a complex disease characterized by diverse cellular ecosystems within the tumor microenvironment (TME) and high tumor heterogeneity, which challenges clinically stratified management and reinforces the need for novel strategies to fight against castration-resistant PCa (CRPC).<h4>Methods</h4>We performed single-cell RNA sequencing (scRNA-seq) on 10 untreated primary PCa tissues and integrated public scRNA-seq resources from three normal prostate tissues, two untreated primary PCa tissues, and six CRPC tumors to portray a comprehensive cellular and molecular interaction atlas of PCa. We further integrated the single-cell and bulk transcriptomes of PCa to establish a molecular classification system.<h4>Results</h4>scRNA-seq profiles revealed substan"],"journal":["Chinese journal of cancer research = Chung-kuo yen cheng yen chiu"],"pagination":["90-114"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11893346"],"repository":["biostudies-literature"],"pubmed_title":["Integrated analysis of single-cell and bulk transcriptomes uncovers clinically relevant molecular subtypes in human prostate cancer."],"pmcid":["PMC11893346"],"pubmed_authors":["Xu L","Liu X","Zheng J","Guo J","Zhu Y","Zuo Z","Ding T","Lin G","Lei F","He L","Wang X"],"additional_accession":[]},"is_claimable":false,"name":"Integrated analysis of single-cell and bulk transcriptomes uncovers clinically relevant molecular subtypes in human prostate cancer.","description":"<h4>Objective</h4>Prostate cancer (PCa) is a complex disease characterized by diverse cellular ecosystems within the tumor microenvironment (TME) and high tumor heterogeneity, which challenges clinically stratified management and reinforces the need for novel strategies to fight against castration-resistant PCa (CRPC).<h4>Methods</h4>We performed single-cell RNA sequencing (scRNA-seq) on 10 untreated primary PCa tissues and integrated public scRNA-seq resources from three normal prostate tissues, two untreated primary PCa tissues, and six CRPC tumors to portray a comprehensive cellular and molecular interaction atlas of PCa. We further integrated the single-cell and bulk transcriptomes of PCa to establish a molecular classification system.<h4>Results</h4>scRNA-seq profiles revealed substan","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jan","modification":"2026-05-18T03:11:49.008Z","creation":"2025-04-04T00:21:35.383Z"},"accession":"S-EPMC11893346","cross_references":{"pubmed":["40078560"],"doi":["10.21147/j.issn.1000-9604.2025.01.07"]}}