{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16(10)"],"submitter":["Zuo J"],"pubmed_abstract":["Bladder cancer is characterized by a high recurrence rate and aggressive behavior, with frequent emergence of chemoresistance. Current treatments such as surgery, chemotherapy, and immunotherapy have limited efficacy, underscoring the urgent need for effective early diagnostic biomarkers and novel targeted therapies. <b>Results:</b> In this study, we integrated plasma proteomic data from the UK Biobank Pharma Proteomics Project (UKB-PPP) and the Icelandic deCODE study with genome-wide association study (GWAS) data. We employed two-sample Mendelian randomization (MR), Bayesian colocalization analysis, and SMR/HEIDI tests to systematically identify potential plasma protein targets associated with bladder cancer risk. A total of 199 plasma proteins were found to be significantly associated wi"],"journal":["Journal of Cancer"],"pagination":["3163-3179"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12305583"],"repository":["biostudies-literature"],"pubmed_title":["Comprehensive Mendelian randomization and colocalization analysis of plasma proteomics to identify new therapeutic targets for bladder cancer."],"pmcid":["PMC12305583"],"pubmed_authors":["Fu S","Zuo J","Chen J","Wen L","Tan Z","Fu Y","Wang H","Zhao J","Wang J"],"additional_accession":[]},"is_claimable":false,"name":"Comprehensive Mendelian randomization and colocalization analysis of plasma proteomics to identify new therapeutic targets for bladder cancer.","description":"Bladder cancer is characterized by a high recurrence rate and aggressive behavior, with frequent emergence of chemoresistance. Current treatments such as surgery, chemotherapy, and immunotherapy have limited efficacy, underscoring the urgent need for effective early diagnostic biomarkers and novel targeted therapies. <b>Results:</b> In this study, we integrated plasma proteomic data from the UK Biobank Pharma Proteomics Project (UKB-PPP) and the Icelandic deCODE study with genome-wide association study (GWAS) data. We employed two-sample Mendelian randomization (MR), Bayesian colocalization analysis, and SMR/HEIDI tests to systematically identify potential plasma protein targets associated with bladder cancer risk. A total of 199 plasma proteins were found to be significantly associated wi","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-03-16T08:17:56.899Z","creation":"2025-08-14T03:06:26.306Z"},"accession":"S-EPMC12305583","cross_references":{"pubmed":["40740240"],"doi":["10.7150/jca.116402"]}}