Identification of Hub Genes and Key Pathways Associated with Two Subtypes of Diffuse Large B-Cell Lymphoma Based on Gene Expression Profiling via Integrated Bioinformatics.

There is a significant difference in prognosis between the germinal center B-cell (GCB) and activated B-cell (ABC) subtypes of diffuse large B-cell lymphoma (DLBCL). However, the signaling pathways and driver genes involved in these disparate subtypes are ambiguous. This study integrated three cohor...

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Publicado en:BioMed Research International Vol. 2018; pp. 1 - 15
Autores principales: Liu, Zijian, Meng, Jingshu, Li, Xiaoqian, Zhu, Fang, Liu, Tao, Wu, Gang, Zhang, Liling
Formato: pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell 5/24/2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 5/24/2018
      vid: 2018
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        129762318
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        10.1155/2018/3574534
        129762318
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        atl: Identification of Hub Genes and Key Pathways Associated with Two Subtypes of Diffuse Large B-Cell Lymphoma Based on Gene Expression Profiling via Integrated Bioinformatics.
      aug:
        au:
          Liu, Zijian
          Meng, Jingshu
          Li, Xiaoqian
          Zhu, Fang
          Liu, Tao
          Wu, Gang
          Zhang, Liling
        affil: Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
      sug:
        subj:
          Lymphoma, B-Cell Familial and Genetic
          Gene Expression Profiling
          Bioinformatics
          Lymphoma, B-Cell Prognosis
          Human
          NF-kappa B
          Signal Transduction
          Software
          Ontologies
          Metabolic Networks and Pathways
          Lymphoma, B-Cell Therapy
          Lymphoid Tissue
      ab: There is a significant difference in prognosis between the germinal center B-cell (GCB) and activated B-cell (ABC) subtypes of diffuse large B-cell lymphoma (DLBCL). However, the signaling pathways and driver genes involved in these disparate subtypes are ambiguous. This study integrated three cohort profile datasets, including 250 GCB samples and 250 ABC samples, to elucidate potential candidate hub genes and key pathways involved in these two subtypes. Differentially expressed genes (DEGs) were identified. After Gene Ontology functional enrichment analysis of the DEGs, protein-protein interaction (PPI) network and sub-PPI network analyses were conducted using the STRING database and Cytoscape software. Subsequently, the Oncomine database and the cBioportal online tool were employed to verify the alterations and differential expression of the 8 hub genes (MME, CD44, IRF4, STAT3, IL2RA, ETV6, CCND2, and CFLAR). Gene set enrichment analysis was also employed to identify the intersection of the key pathways (JAK-STAT, FOXO, and NF-κB pathways) validated in the above analyses. These hub genes and key pathways could improve our understanding of the process of tumorigenesis and the underlying molecular events and may be therapeutic targets for the precise treatment of these two subtypes with different prognoses.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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