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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...

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Autores principales: WANG, WEIMIN, XU, ZHIMING, FU, LI, LIU, WEI, LI, XINGANG
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2014
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.
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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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