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Pathogenesis analysis of pituitary adenoma based on gene expression profiling
The aim of the current study was to investigate the pathogenesis of pituitary adenoma through screening of the differentially-expressed genes (DEGs) and proteins in normal pituitary and pituitary adenoma tissues, and analyzing the interactions among them. Following the acquisition of gene expression...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4214395/ https://www.ncbi.nlm.nih.gov/pubmed/25360166 http://dx.doi.org/10.3892/ol.2014.2613 |
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author | WANG, WEIMIN XU, ZHIMING FU, LI LIU, WEI LI, XINGANG |
author_facet | WANG, WEIMIN XU, ZHIMING FU, LI LIU, WEI LI, XINGANG |
author_sort | WANG, WEIMIN |
collection | PubMed |
description | The aim of the current study was to investigate the pathogenesis of pituitary adenoma through screening of the differentially-expressed genes (DEGs) and proteins in normal pituitary and pituitary adenoma tissues, and analyzing the interactions among them. Following the acquisition of gene expression profiling data from a public functional genomics data repository, Gene Expression Omnibus, DEGs were screened in normal pituitary and pituitary adenoma tissues. Upregulated and downregulated DEGs were further identified through gene ontology functional enrichment analysis. Subsequently, the DEGs were mapped to the Search Tool for the Retrieval of Interacting Genes database, and the protein-protein interaction (PPI) networks of the upregulated and downregulated DEGs were constructed. Finally, the functional modules of the PPI network of the downregulated DEGs were analyzed. In total, 211 upregulated and 413 downregulated DEGs were screened between the normal pituitary and pituitary adenoma samples. Downregulated DEGs were associated with certain functions, including the immune response, hormone regulation and cell proliferation. Upregulated genes were associated with cation transport functions. Five modules were acquired from the PPI network of the downregulated DEGs. Transcription factors, including signal transducer and activator of transcription 3 (STAT3), interleukin 6 (IL-6), B-cell lymphoma 6 protein, early growth response 1, POU1F1, jun B proto-oncogene and FOS were the core nodes in the functional modules. In summary, the DEGs and proteins were identified through screening gene expression profiling and PPI networks. The results of the present study indicated that low expression levels of hormone- and immune-related genes facilitated the occurrence of pituitary adenoma. Low expression levels of IL-6 and STAT3 were significant in the dysimmunity of pituitary adenoma. Furthermore, the low expression level of POU1F1 contributed to the reduction in pituitary hormone secretion. |
format | Online Article Text |
id | pubmed-4214395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-42143952014-10-30 Pathogenesis analysis of pituitary adenoma based on gene expression profiling WANG, WEIMIN XU, ZHIMING FU, LI LIU, WEI LI, XINGANG Oncol Lett Articles The aim of the current study was to investigate the pathogenesis of pituitary adenoma through screening of the differentially-expressed genes (DEGs) and proteins in normal pituitary and pituitary adenoma tissues, and analyzing the interactions among them. Following the acquisition of gene expression profiling data from a public functional genomics data repository, Gene Expression Omnibus, DEGs were screened in normal pituitary and pituitary adenoma tissues. Upregulated and downregulated DEGs were further identified through gene ontology functional enrichment analysis. Subsequently, the DEGs were mapped to the Search Tool for the Retrieval of Interacting Genes database, and the protein-protein interaction (PPI) networks of the upregulated and downregulated DEGs were constructed. Finally, the functional modules of the PPI network of the downregulated DEGs were analyzed. In total, 211 upregulated and 413 downregulated DEGs were screened between the normal pituitary and pituitary adenoma samples. Downregulated DEGs were associated with certain functions, including the immune response, hormone regulation and cell proliferation. Upregulated genes were associated with cation transport functions. Five modules were acquired from the PPI network of the downregulated DEGs. Transcription factors, including signal transducer and activator of transcription 3 (STAT3), interleukin 6 (IL-6), B-cell lymphoma 6 protein, early growth response 1, POU1F1, jun B proto-oncogene and FOS were the core nodes in the functional modules. In summary, the DEGs and proteins were identified through screening gene expression profiling and PPI networks. The results of the present study indicated that low expression levels of hormone- and immune-related genes facilitated the occurrence of pituitary adenoma. Low expression levels of IL-6 and STAT3 were significant in the dysimmunity of pituitary adenoma. Furthermore, the low expression level of POU1F1 contributed to the reduction in pituitary hormone secretion. D.A. Spandidos 2014-12 2014-10-13 /pmc/articles/PMC4214395/ /pubmed/25360166 http://dx.doi.org/10.3892/ol.2014.2613 Text en Copyright © 2014, Spandidos Publications http://creativecommons.org/licenses/by/3.0 This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited. |
spellingShingle | Articles WANG, WEIMIN XU, ZHIMING FU, LI LIU, WEI LI, XINGANG Pathogenesis analysis of pituitary adenoma based on gene expression profiling |
title | Pathogenesis analysis of pituitary adenoma based on gene expression profiling |
title_full | Pathogenesis analysis of pituitary adenoma based on gene expression profiling |
title_fullStr | Pathogenesis analysis of pituitary adenoma based on gene expression profiling |
title_full_unstemmed | Pathogenesis analysis of pituitary adenoma based on gene expression profiling |
title_short | Pathogenesis analysis of pituitary adenoma based on gene expression profiling |
title_sort | pathogenesis analysis of pituitary adenoma based on gene expression profiling |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4214395/ https://www.ncbi.nlm.nih.gov/pubmed/25360166 http://dx.doi.org/10.3892/ol.2014.2613 |
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