Genes and pathways associated with the occurrence of malignancy in benign lymphoepithelial lesions

Mol Med Rep. 2018 Feb;17(2):2177-2186. doi: 10.3892/mmr.2017.8149. Epub 2017 Nov 24.

Abstract

There is increasing evidence concerning the occurrence of malignant lymphoma among people suffering from Mikulicz disease, also termed benign lymphoepithelial lesion (BLEL) and immunoglobulin G4‑associated disease. However, the underlying molecular mechanism of the malignant transformation remains unclear. The present study aimed to investigate the gene expression profile between BLEL and malignant lymphoepithelial lesion (MLEL) conditions using tissue microarray analysis, to identify genes and pathways which may be associated with the risk of malignant transformation. Comparing gene expression profiles between BLEL tissues (n=13) and MLEL (n=14), a total of 1,002 differentially expressed genes (DEGs) were identified including 364 downregulated and 638 upregulated DEGs in BLEL. The downregulated DEGs in BLEL were frequently associated with immune‑based functions, immune cell differentiation, proliferation and survival, and metabolic functions, whereas the upregulated DEGs were primarily associated with organ, gland and tissue developmental processes. The B cell receptor signaling pathway, the transcription factor p65 signaling pathway, low affinity immunoglobulin γ Fc region receptor II‑mediated phagocytosis, the high affinity immunoglobulin ε receptor subunit γ signaling pathway and Epstein‑Barr virus infection, and pathways in cancer, were the pathways associated with the downregulated DEGs. The upregulated DEGs were associated with three pathways, including glutathione metabolism, salivary secretion and mineral absorption pathways. These results suggested that the identified signaling pathways and their associated genes may be crucial for understanding the molecular mechanisms underlying malignant transformation from BLEL, and they may be considered to be markers for predicting malignancy among the BLEL group.

MeSH terms

  • Cell Transformation, Neoplastic / genetics*
  • Cell Transformation, Neoplastic / metabolism*
  • Computational Biology / methods
  • Disease Progression
  • Gene Expression Profiling
  • Gene Expression Regulation*
  • Gene Regulatory Networks
  • Humans
  • Mikulicz' Disease / pathology*
  • Protein Interaction Mapping
  • Protein Interaction Maps
  • Signal Transduction*