OncoTargets and Therapy (May 2017)

Leucine-rich glioma inactivated 3: integrative analyses support its prognostic role in glioma

  • Kwon NS,
  • Kim DS,
  • Yun HY

Journal volume & issue
Vol. Volume 10
pp. 2721 – 2728

Abstract

Read online

Nyoun Soo Kwon, Dong-Seok Kim, Hye-Young Yun Department of Biochemistry, Chung-Ang University, College of Medicine, Seoul, Republic of Korea Background: Leucine-rich glioma inactivated 3 (LGI3) is a secreted protein member of LGI family. We previously reported that LGI3 was expressed in brain, adipose tissues and skin, where it played roles as a multifunctional cytokine. We postulated that LGI3 may be involved in cytokine network in cancers.Aim: This study aimed to analyze differentially expressed genes in glioma tissues and glioma cohort data to investigate the prognostic role of LGI3 and its receptors.Materials and methods: Expression microarray data from Gene Expression Omnibus and glioma cohort data were analyzed using bioinformatic tools for statistical analysis, protein–protein interactions, functional enrichment and pathway analyses and prognostic association analysis.Results: We found that LGI3 and its receptors, ADAM22 and ADAM23, were significantly downregulated in glioma tissues. Eleven upregulated genes and two downregulated genes in glioma tissues were found to be the previously reported LGI3-regulated genes. Protein–protein interaction network analysis showed that 85% of the LGI3-regulated and glioma-altered genes formed a cluster of interaction network. Functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses revealed the association of these genes with hypoxia responses, p53 and Akt signaling and various cancer-related pathways including glioma. Analysis of expression microarray data of glioma cohorts demonstrated that low expression levels of LGI3, ADAM22 and ADAM23 were significantly associated with poor prognosis of glioma.Conclusion: These results propose that LGI3 and its receptors may play a prognostic role in glioma. Keywords: LGI3, glioma, cytokine, cancer, prognosis

Keywords