{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wang L"],"funding":["People's Livelihood Science and Technology Project of Qingdao","Natural Science Foundation of Shandong Province"],"pagination":["e70749"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11891932"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(5)"],"pubmed_abstract":["<h4>Background</h4>Although Proline-rich Protein 11 (PRR11) abnormalities are closely associated with carcinogenesis, the precise mechanism of bladder cancer remains unclear. Here, we sought to elucidate the molecular mechanisms of PRR11 in bladder cancer.<h4>Methods</h4>We performed differential expression analysis of PRR11 from the TCGA and GEO databases, followed by validation with clinical samples. Survival analysis was employed to assess the correlation between PRR11 and patient prognosis. The effects of PRR11 on bladder cancer cells were examined through both in vitro and in vivo experiments. Additionally, Gene Set Enrichment Analysis (GSEA) was used to predict the downstream pathways associated with PRR11, which were further validated through subsequent experiments.<h4>Results</h4>P"],"journal":["Cancer medicine"],"pubmed_title":["PRR11 Promotes Bladder Cancer Growth and Metastasis by Facilitating G1/S Progression and Epithelial-Mesenchymal Transition."],"pmcid":["PMC11891932"],"funding_grant_id":["ZR2023MH327","23-2-1-193-zyyd-jch"],"pubmed_authors":["Zhu J","Gao L","Zhu X","Zhu H","Kou Z","Wang L"],"additional_accession":[]},"is_claimable":false,"name":"PRR11 Promotes Bladder Cancer Growth and Metastasis by Facilitating G1/S Progression and Epithelial-Mesenchymal Transition.","description":"<h4>Background</h4>Although Proline-rich Protein 11 (PRR11) abnormalities are closely associated with carcinogenesis, the precise mechanism of bladder cancer remains unclear. Here, we sought to elucidate the molecular mechanisms of PRR11 in bladder cancer.<h4>Methods</h4>We performed differential expression analysis of PRR11 from the TCGA and GEO databases, followed by validation with clinical samples. Survival analysis was employed to assess the correlation between PRR11 and patient prognosis. The effects of PRR11 on bladder cancer cells were examined through both in vitro and in vivo experiments. Additionally, Gene Set Enrichment Analysis (GSEA) was used to predict the downstream pathways associated with PRR11, which were further validated through subsequent experiments.<h4>Results</h4>P","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Mar","modification":"2025-04-22T20:52:29.731Z","creation":"2025-04-06T03:20:58.165Z"},"accession":"S-EPMC11891932","cross_references":{"pubmed":["40062654"],"doi":["10.1002/cam4.70749"]}}