Publications by authors named "Meng-Bo Wang"
Diffuse large B-cell lymphoma (DLBCL) is the most common type of B-cell non-Hodgkin lymphoma in adults and the pathogenesis of DLBCL is multifactorial and complex. Understanding the molecular mechanisms involved in DLBCL is important to identify new therapeutic targets. The present study aimed to screen and identify differentially expressed microRNAs (miRNAs/miRs) between diffuse large B-cell lymphoma (DLBCL) and control [lymph node reactive hyperplasia (LRH)] groups, and to investigate whether miRNAs associated with DLBCL could serve as potential therapeutic targets.
View Article and Find Full Text PDFTopologically associating domains (TADs) are the organizational units of chromosome structures. TADs can contain TADs, thus forming a hierarchy. TAD hierarchies can be inferred from Hi-C data through coding trees.
View Article and Find Full Text PDFPeripheral T-cell lymphoma (PTCL) is a very aggressive and heterogeneous hematological malignancy and has no effective targeted therapy. The molecular pathogenesis of PTCL remains unknown. In this study, we chose the gene expression profile of GSE6338 from the Gene Expression Omnibus (GEO) database to identify hub genes and key pathways and explore possible molecular pathogenesis of PTCL by bioinformatic analysis.
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- - This study investigated the role of the TCL1 protein in the PI3K/AKT signaling pathway within diffuse large B-cell lymphoma (DLBCL), focusing on its expression levels and prognostic significance.
- - Using proteomic analysis and immunohistochemistry on 137 DLBCL tissue samples, the study found strong positive correlations between TCL1 and other proteins (AKT1+2+3, IKKβ), as well as associations with various clinical factors affecting prognosis.
- - The results suggest that high TCL1 expression is linked to poorer survival outcomes in DLBCL patients and could serve as a valuable prognostic biomarker and treatment target for future therapies.
Differentially methylated genes (DMGs) serve a crucial role in the pathogenesis of glioma via the regulation of the cell cycle, proliferation, apoptosis, migration, infiltration, DNA repair and signaling pathways. This study aimed to identify aberrant DMGs and pathways by comprehensive bioinformatics analysis. The gene expression profile of GSE28094 was downloaded from the Gene Expression Omnibus (GEO) database, and the GEO2R online tool was used to find DMGs.
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