Exploration of Molecular Mechanisms of Diffuse Large B-cellLymphoma Development Using a Microarray

Abstract


Objective: We aimed to identify key genes, pathways and function modules in the development of diffuse largeB-cell lymphoma (DLBCL) with microarray data and interaction network analysis.
Methods: Microarray datasets for 7 DLBCL samples and 7 normal controls was downloaded from the Gene Expression Omnibus (GEO)database and differentially expressed genes (DEGs) were identified with Student’s t-test. KEGG functionalenrichment analysis was performed to uncover their biological functions. Three global networks were establishedfor immune system, signaling molecules and interactions and cancer genes. The DEGs were compared with thenetworks to observe their distributions and determine important key genes, pathways and modules.
Results: Atotal of 945 DEGs were obtained, 272 up-regulated and 673 down-regulated. KEGG analysis revealed that twogroups of pathways were significantly enriched: immune function and signaling molecules and interactions.Following interaction network analysis further confirmed the association of DEGs in immune system, signalingmolecules and interactions and cancer genes.
Conclusions: Our study could systemically characterize geneexpression changes in DLBCL with microarray technology. A range of key genes, pathways and function moduleswere revealed. Utility in diagnosis and treatment may be expected with further focused research.

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