{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ohandjo AQ"],"funding":["U.S. Department of Health & Human Services | NIH | National Institute on Minority Health and Health Disparities (NIMHD)","U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI)","U.S. Department of Health & Human Services | NIH | National Cancer Institute","U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS)","U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences","U.S. Department of Health & Human Services | NIH | National Institute on Minority Health and Health Disparities"],"pagination":["14963"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6802083"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9(1)"],"pubmed_abstract":["The tumor immune microenvironment (TIME) consists of multiple cell types that contribute to the heterogeneity and complexity of prostate cancer (PCa). In this study, we sought to understand the gene-expression signature of patients with primary prostate tumors by investigating the co-expression profiles of patient samples and their corresponding clinical outcomes, in particular \"disease-free months\" and \"disease reoccurrence\". We tested the hypothesis that the CXCL13-CXCR5 axis is co-expressed with factors supporting TIME and PCa progression. Gene expression counts, with clinical attributes from PCa patients, were acquired from TCGA. Profiles of PCa patients were used to identify key drivers that influence or regulate CXCL13-CXCR5 signaling. Weighted gene co-expression network analysis (WG"],"journal":["Scientific reports"],"pubmed_title":["Transcriptome Network Analysis Identifies CXCL13-CXCR5 Signaling Modules in the Prostate Tumor Immune Microenvironment."],"pmcid":["PMC6802083"],"funding_grant_id":["R41MD010320","UL1TR002378","U54CA118638"],"pubmed_authors":["Carey KM","Liu Z","Hinton DE","Dill CD","Dammer EB","Meller R","Ohandjo AQ","Lillard JW","Griffen TL"],"additional_accession":[]},"is_claimable":false,"name":"Transcriptome Network Analysis Identifies CXCL13-CXCR5 Signaling Modules in the Prostate Tumor Immune Microenvironment.","description":"The tumor immune microenvironment (TIME) consists of multiple cell types that contribute to the heterogeneity and complexity of prostate cancer (PCa). In this study, we sought to understand the gene-expression signature of patients with primary prostate tumors by investigating the co-expression profiles of patient samples and their corresponding clinical outcomes, in particular \"disease-free months\" and \"disease reoccurrence\". We tested the hypothesis that the CXCL13-CXCR5 axis is co-expressed with factors supporting TIME and PCa progression. Gene expression counts, with clinical attributes from PCa patients, were acquired from TCGA. Profiles of PCa patients were used to identify key drivers that influence or regulate CXCL13-CXCR5 signaling. Weighted gene co-expression network analysis (WG","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Oct","modification":"2026-05-06T22:31:28.742Z","creation":"2019-11-05T08:08:37Z"},"accession":"S-EPMC6802083","cross_references":{"pubmed":["31628349"],"doi":["10.1038/s41598-019-46491-3"]}}