MUM1 seems also to be a promising target for the treatment of some of the MUM1 positive neoplasms. [Home] Page last revised: 30 August, 2019 Cancer Genetics Web, Established 1999. By highly sensitive protocols, weak nuclear staining may be seen in a fraction of B-cells located in the mantle zone. Nyman H, Jerkeman M, Karjalainen-Lindsberg ML, Banham AH, Leppä S. Prognostic impact of activated B-cell focused classification in diffuse large B-cell lymphoma patients treated with R-CHOP. Bgee allows to automatically compare gene expression patterns between species, by referencing expression data on anatomical ontologies, and designing homology relationships between them. Combined with the immunostaining status of anti-CD10 and anti-bcl6, anti-MUM1 divides DLBCL into 2 main groups: Germinal center type and non-germinal center type (activated B-cell type) with similar 5-year overall survival rates.4 Anti-MUM1 antibody can stain other B-cell lymphomas such as lymphoplasmacytic lymphoma, chronic lymphocytic leukemia, follicular lymphoma (mostly restricted in grade 3 follicular lymphoma; negative in low grade follicular lymphoma)3, marginal zone lymphoma, lymphoblastic lymphoma/leukemia, primary effusion lymphoma, primary central nervous system lymphoma, primary mediastinal large B-cell lymphoma, DLBCL, Burkitt-like lymphoma, and classical Hodgkin lymphoma.5 However, the tumor cells in nodular lymphocyte predominant Hodgkin lymphoma are negative or only weakly positive in less than 10% of neoplastic cells.6 Peripheral T-cell lymphoma (NOS), systemic anaplastic large cell lymphoma (ALK+ or ALK-),7 and CD30+ cutaneous lymphoproliferative disorders8 are the T-cell neoplastic entities that are recognized by anti-MUM1 antibodies.4 MUM1 is also strongly expressed in all cases with plasma cell myeloma.9 Anti-MUM1 antibody immunostains approximately 92% of malignant melanoma cases, including conventional primary melanoma and metastatic melanoma. Cloning of human lymphocyte-specific interferon regulatory factor (hLSIRF/hIRF4) and mapping of the gene to 6p23-p25. Sources of annotations to anatomy and development: melanoma associated antigen (mutated) 1 [Source:RGD Symbol;Acc:1308340]. The MUM1 antibody is specific for the MUM1/IRF4 protein that is overexpressed in late plasma-cell-directed stages of B-cell differentiation. biological terms co-occuring with MUM1 gene in literature-supported statements describing functions of genes from the GeneRIF Biological Term Annotations dataset. 2006; 24:4135-42. Leukemia. 1. MUM1 is useful in a panel with other markers for subclassification of malignant lymphomas and identification of plasma cell differentiation. Tumours and proliferations of other than lymphocytic and melanocytic lineages are negative. 1 Petitjean, B., Jardin, F., Joly, B., Martin-Garcia, N., Tilly, H., Picquenot, J.M., Briere, J., Danel, C., Mehaut, S., Abd-Al-Samad, I., Copie-Bergman, C., Delfau-Larue, M.H. cell lines with high or low expression of MUM1 gene relative to other cell lines from the Heiser et al., PNAS, 2011 Cell Line Gene Expression Profiles dataset. chemicals interacting with MUM1 gene/protein from the curated CTD Gene-Chemical Interactions dataset. MUM1 is a lymphocyte-specific transcriptional factor, a member of the interferon regulatory factor (IRF) family, known to play a role in the regulation of gene expression in response to interferons and other cytokines. Petitjean, B., Jardin, F., Joly, B., Martin-Garcia, N., Tilly, H., Picquenot, J.M., Briere, J., Danel, C., Mehaut, S., Abd-Al-Samad, I., Copie-Bergman, C., Delfau-Larue, M.H. about genes and proteins. Rouillard AD, Gundersen GW, Fernandez NF, Wang Z, Monteiro CD, McDermott MG, Ma'ayan A. BD2K-LINCS Data Coordination and Integration Center, PWWP3A, MUM1 GEO Profiles, NCBI Search the gene expression profiles from curated DataSets in the Gene Expression Omnibus (GEO) repository. Abnormalities: The MUM1/IFR4 gene deficient mice are reported to lack germinal centers and plasma cells, and exhibit profound hypogammaglobulinemia. MUM1 has 3,492 functional associations with biological entities spanning 7 categories (molecular profile, organism, chemical, functional term, phrase or reference, disease, phenotype or trait, cell line, cell type or tissue, gene, protein or microRNA) extracted from 65 datasets.