{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Sun LY"],"funding":["Guangdong Medical Research Foundation","Guangzhou Municipal Science and Technology Project","the Foundation of Guangdong Second Provincial General Hospital","Natural Science Foundation of Guangdong Province","National Natural Science Foundation of China","Doctoral Workstation Foundation of Guangdong Second Provincial General Hospital"],"pagination":["549"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11469992"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(1)"],"pubmed_abstract":["<h4>Background</h4>Epstein-Barr virus (EBV) infection has been closely linked to the development of various types of cancer. EB nuclear antigen 1 binding protein 2 (EBNA1BP2) is a crucial molecule for stable isolation of EBV in latent infection. However, the role of EBNA1BP2 in multiple tumor types is remains unclear. In this study, we comprehensively analyzed the functional characteristics of EBNA1BP2 and investigate its potential as a prognostic biomarker in pan-cancer.<h4>Methods</h4>We utilized data from TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus) databases and employed various bioinformatics analysis tools, including TIMER2.0, HPA, GEPIA2.0, PrognoScan, cBioPortal, CancerSEA, and BioGRID to explore the expression pattern, prognostic value, immune infiltration, and"],"journal":["Discover oncology"],"pubmed_title":["EBNA1BP2 identified as potential prognostic biomarker for multiple tumor types in pan-cancer analysis."],"pmcid":["PMC11469992"],"funding_grant_id":["2023A04J1129","2021BSGZ018","B2023038","3DA2021015","202002030404","82302640","2021A1515012329"],"pubmed_authors":["Zhang XH","Shen J","Sun LY","Xian KX","Liang L","Zeng XX","Xu X","Jiang YY","Xu QA"],"additional_accession":[]},"is_claimable":false,"name":"EBNA1BP2 identified as potential prognostic biomarker for multiple tumor types in pan-cancer analysis.","description":"<h4>Background</h4>Epstein-Barr virus (EBV) infection has been closely linked to the development of various types of cancer. EB nuclear antigen 1 binding protein 2 (EBNA1BP2) is a crucial molecule for stable isolation of EBV in latent infection. However, the role of EBNA1BP2 in multiple tumor types is remains unclear. In this study, we comprehensively analyzed the functional characteristics of EBNA1BP2 and investigate its potential as a prognostic biomarker in pan-cancer.<h4>Methods</h4>We utilized data from TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus) databases and employed various bioinformatics analysis tools, including TIMER2.0, HPA, GEPIA2.0, PrognoScan, cBioPortal, CancerSEA, and BioGRID to explore the expression pattern, prognostic value, immune infiltration, and","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Oct","modification":"2026-07-16T07:05:52.106Z","creation":"2025-04-04T13:54:41.458Z"},"accession":"S-EPMC11469992","cross_references":{"pubmed":["39394548"],"doi":["10.1007/s12672-024-01326-0"]}}