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Gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes

Diffuse low-grade glioma (DLGG) is a well-differentiated, slow-growing tumour with an inherent tendency to progress to high-grade glioma. The potential roles of genetic alterations in DLGG development have not yet been fully delineated. Therefore, the current study performed an integrated gene expre...

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Autores principales: Wang, Siqi, Jin, Feng, Fan, Wenliang, Liu, Fang, Zou, Yan, Hu, Xuehan, Xu, Haibo, Han, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603565/
https://www.ncbi.nlm.nih.gov/pubmed/28924174
http://dx.doi.org/10.1038/s41598-017-12087-y
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author Wang, Siqi
Jin, Feng
Fan, Wenliang
Liu, Fang
Zou, Yan
Hu, Xuehan
Xu, Haibo
Han, Ping
author_facet Wang, Siqi
Jin, Feng
Fan, Wenliang
Liu, Fang
Zou, Yan
Hu, Xuehan
Xu, Haibo
Han, Ping
author_sort Wang, Siqi
collection PubMed
description Diffuse low-grade glioma (DLGG) is a well-differentiated, slow-growing tumour with an inherent tendency to progress to high-grade glioma. The potential roles of genetic alterations in DLGG development have not yet been fully delineated. Therefore, the current study performed an integrated gene expression meta-analysis of eight independent, publicly available microarray datasets including 291 DLGGs and 83 non-glioma (NG) samples to identify gene expression signatures associated with DLGG. Using INMEX, 708 differentially expressed genes (DEGs) (385 upregulated and 323 downregulated genes) were identified in DLGG compared to NG. Furthermore, 497 DEGs (222 upregulated and 275 downregulated genes) corresponding to two histological types were identified. Of these, high expression of HIP1R significantly correlated with increased overall survival, whereas high expression of TBXAS1 significantly correlated with decreased overall survival. Additionally, network-based meta-analysis identified FN1 and APP as the key hub genes in DLGG compared with NG. PTPN6 and CUL3 were the key hub genes identified in the astrocytoma relative to the oligodendroglioma. Further immunohistochemical validation revealed that MTHFD2 and SPARC were positively expressed in DLGG, whereas RBP4 was positively expressed in NG. These findings reveal potential molecular biomarkers for diagnosis and therapy in patients with DLGG and provide a rich and novel candidate reservoir for future studies.
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spelling pubmed-56035652017-09-20 Gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes Wang, Siqi Jin, Feng Fan, Wenliang Liu, Fang Zou, Yan Hu, Xuehan Xu, Haibo Han, Ping Sci Rep Article Diffuse low-grade glioma (DLGG) is a well-differentiated, slow-growing tumour with an inherent tendency to progress to high-grade glioma. The potential roles of genetic alterations in DLGG development have not yet been fully delineated. Therefore, the current study performed an integrated gene expression meta-analysis of eight independent, publicly available microarray datasets including 291 DLGGs and 83 non-glioma (NG) samples to identify gene expression signatures associated with DLGG. Using INMEX, 708 differentially expressed genes (DEGs) (385 upregulated and 323 downregulated genes) were identified in DLGG compared to NG. Furthermore, 497 DEGs (222 upregulated and 275 downregulated genes) corresponding to two histological types were identified. Of these, high expression of HIP1R significantly correlated with increased overall survival, whereas high expression of TBXAS1 significantly correlated with decreased overall survival. Additionally, network-based meta-analysis identified FN1 and APP as the key hub genes in DLGG compared with NG. PTPN6 and CUL3 were the key hub genes identified in the astrocytoma relative to the oligodendroglioma. Further immunohistochemical validation revealed that MTHFD2 and SPARC were positively expressed in DLGG, whereas RBP4 was positively expressed in NG. These findings reveal potential molecular biomarkers for diagnosis and therapy in patients with DLGG and provide a rich and novel candidate reservoir for future studies. Nature Publishing Group UK 2017-09-18 /pmc/articles/PMC5603565/ /pubmed/28924174 http://dx.doi.org/10.1038/s41598-017-12087-y Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Wang, Siqi
Jin, Feng
Fan, Wenliang
Liu, Fang
Zou, Yan
Hu, Xuehan
Xu, Haibo
Han, Ping
Gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes
title Gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes
title_full Gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes
title_fullStr Gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes
title_full_unstemmed Gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes
title_short Gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes
title_sort gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603565/
https://www.ncbi.nlm.nih.gov/pubmed/28924174
http://dx.doi.org/10.1038/s41598-017-12087-y
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