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Leucine-rich glioma inactivated 3: integrative analyses support its prognostic role in glioma
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 canc...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5449096/ https://www.ncbi.nlm.nih.gov/pubmed/28579810 http://dx.doi.org/10.2147/OTT.S138912 |
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author | Kwon, Nyoun Soo Kim, Dong-Seok Yun, Hye-Young |
author_facet | Kwon, Nyoun Soo Kim, Dong-Seok Yun, Hye-Young |
author_sort | Kwon, Nyoun Soo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5449096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-54490962017-06-02 Leucine-rich glioma inactivated 3: integrative analyses support its prognostic role in glioma Kwon, Nyoun Soo Kim, Dong-Seok Yun, Hye-Young Onco Targets Ther Original Research 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. Dove Medical Press 2017-05-24 /pmc/articles/PMC5449096/ /pubmed/28579810 http://dx.doi.org/10.2147/OTT.S138912 Text en © 2017 Kwon et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Kwon, Nyoun Soo Kim, Dong-Seok Yun, Hye-Young Leucine-rich glioma inactivated 3: integrative analyses support its prognostic role in glioma |
title | Leucine-rich glioma inactivated 3: integrative analyses support its prognostic role in glioma |
title_full | Leucine-rich glioma inactivated 3: integrative analyses support its prognostic role in glioma |
title_fullStr | Leucine-rich glioma inactivated 3: integrative analyses support its prognostic role in glioma |
title_full_unstemmed | Leucine-rich glioma inactivated 3: integrative analyses support its prognostic role in glioma |
title_short | Leucine-rich glioma inactivated 3: integrative analyses support its prognostic role in glioma |
title_sort | leucine-rich glioma inactivated 3: integrative analyses support its prognostic role in glioma |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5449096/ https://www.ncbi.nlm.nih.gov/pubmed/28579810 http://dx.doi.org/10.2147/OTT.S138912 |
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