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    Home > Active Ingredient News > Blood System > Clin Cancer Res: Cell cycle protein D1 dependent transcription program predicts clinical prognosis in patients with heterocytic lymphoma.

    Clin Cancer Res: Cell cycle protein D1 dependent transcription program predicts clinical prognosis in patients with heterocytic lymphoma.

    • Last Update: 2020-10-20
    • Source: Internet
    • Author: User
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    Membrane cell lymphoma (MCL) is characterized by t (11;14) (q13;q32) subseignation resulting in over-expression of the cell cycle protein D1 (Cyclin D1).
    Cyclin D1 is a major cell cycle regulatory factor and can also regulate transcription, but the effect of Cyclin D1-mediated transcription disorders on the pathogenesis of MCL is not yet clear.
    study aims to define gene expression procedures for cyclin D1 dependence and analyze their prognostic value.
    researchers combined whole genome expression analysis of cyclin D1 silent and over-expression cells with cyclin D1 chromatin binding spectrometry to identify cyclin D1-dependent transcription procedures in MCL cells.
    the gene procedure in two MCL family exoded blood samples (n-53) and lymphatic tissue (n-106) to determine its biological and clinical relevance.
    also validated its findings in a separate MCL series of exoded blood samples (n-81).
    researchers found that the cyclin D1-dependent transcription program contained 295 genes, mainly involved in cell cycle regulation.
    procedures that are dependent on cyclin D1 are over-expressed in MCL tumors and are directly related to cyclin D1 levels.
    high expression of the procedure can indicate poor prognostication and significantly shorten the overall survival of patients.
    results were validated in the third MCL queue with a simplified 37-gene cyclin D1 signature.
    , cyclin D1-dependent transcription procedures are also present in multiple myelomas and breast tumors over-expressed by cyclin D1.
    , the study found a cell cycle protein D1 (cyclin D1) dependent transcription procedure that was over-expressed in THECL and predicted clinical prognostication in patients.
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