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Primary liver cancer ranks among the most prevalent and refractory malignant tumors globally. This investigation delves into the role of Epstein-Barr virus nuclear antigen 2-binding protein (EBP2) in hepatocellular carcinoma (HCC). Significantly, EBP2 exhibits marked overexpression in HCC tissues, a finding that correlates with advanced tumor staging and unfavorable prognostic outcomes. In HCC cells, EBP2 silencing led to attenuated proliferation, enhanced apoptosis, and reduced migratory capacity, coupled with reversal of epithelial-mesenchymal transition (EMT). In vivo studies further demonstrated that EBP2 depletion potently suppressed tumor growth in xenograft models. Mechanistically, EBP2 interacts with CENPA to transcriptionally upregulate minichromosome maintenance protein family member 8 (MCM8), thereby stabilizing the MCM8/MCM9 complex and enhancing homologous recombination-mediated DNA repair. Functional rescue experiments revealed that MCM8 overexpression abrogated the suppressive effects of EBP2 knockdown on HCC cell proliferation and migration. In parallel, EBP2 regulates HMGB1 expression through the CENPA/YY1 transcriptional complex, thereby participating in the progression of HCC. Collectively, these findings highlight EBP2 as a crucial regulator of HCC progression via the dual axes-EBP2-CENPA-MCM8 and EBP2-CENPA/YY1-HMGB1, offering a promising therapeutic target for HCC intervention.
Pubmed ID: 41935051
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Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.
View all literature mentionsA web-based software application that enables users to analyze, integrate, and understand data derived from gene expression, microRNA, and SNP microarrays, metabolomics, proteomics, and RNA-Seq experiments, and small-scale experiments that generate gene and chemical lists. Users can search for targeted information on genes, proteins, chemicals, and drugs, and build interactive models of experimental systems. IPA allows exploration of molecular, chemical, gene, protein and miRNA interactions, creation of custom molecular pathways, and the ability to view and modify metabolic, signaling, and toxicological canonical pathways. In addition to the networks and pathways that can be created, IPA can provide multiple layering of additional information, such as drugs, disease genes, expression data, cellular functions and processes, or a researchers own genes or chemicals of interest.
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View all literature mentionsA portal that provides visualization, analysis and download of large-scale cancer genomics data sets.
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