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Screening and Identification of Key Microenvironment-Related Genes in Non-functioning Pituitary Adenoma

PURPOSE: Non-functioning pituitary adenoma (NFPA) is a very common type of intracranial tumor, which can be locally invasive and can have a high recurrence rate. The tumor microenvironment (TME) shows a high correlation with tumor pathogenesis and prognosis. The current study aimed to identify micro...

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Autores principales: Guo, Jing, Fang, Qiuyue, Liu, Yulou, Xie, Weiyan, Li, Chuzhong, Zhang, Yazhuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110910/
https://www.ncbi.nlm.nih.gov/pubmed/33986766
http://dx.doi.org/10.3389/fgene.2021.627117
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author Guo, Jing
Fang, Qiuyue
Liu, Yulou
Xie, Weiyan
Li, Chuzhong
Zhang, Yazhuo
author_facet Guo, Jing
Fang, Qiuyue
Liu, Yulou
Xie, Weiyan
Li, Chuzhong
Zhang, Yazhuo
author_sort Guo, Jing
collection PubMed
description PURPOSE: Non-functioning pituitary adenoma (NFPA) is a very common type of intracranial tumor, which can be locally invasive and can have a high recurrence rate. The tumor microenvironment (TME) shows a high correlation with tumor pathogenesis and prognosis. The current study aimed to identify microenvironment-related genes in NFPAs and assess their prognostic value. METHODS: 73 NFPA tumor samples were collected from Beijing Tiantan Hospital and transcriptional expression profiles were obtained through microarray analysis. The immune and stromal scores of each sample were calculated through the ESTIMATE algorithm, and the patients were divided into high and low immune/stromal score groups. Intersection differentially expressed genes (DEGs) were then obtained to construct a protein–protein interaction (PPI) network. Potential functions and pathways of intersection DEGs were then analyzed through Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes. The prognostic value of these genes was evaluated. The quantitative real-time polymerase chain reaction in another set of NFPA samples was used to confirm the credibility of the bioinformatics analysis. RESULTS: The immune/stromal scores were significantly correlated with cavernous sinus (CS) invasion. The Kaplan–Meier curve indicated that the high immune score group was significantly related to poor recurrence-free survival. We identified 497 intersection DEGs based on the high vs. low immune/stromal score groups. Function enrichment analyses of 497 DEGs and hub genes from the PPI network showed that these genes are mainly involved in the immune/inflammatory response, T cell activation, and the phosphatidylinositol 3 kinase-protein kinase B signaling pathway. Among the intersection DEGs, 88 genes were further verified as significantly expressed between the CS invasive group and the non-invasive group, and five genes were highly associated with NFPA prognosis. CONCLUSION: We screened out a series of critical genes associated with the TME in NFPAs. These genes may play a fundamental role in the development and prognosis of NFPA and may yield new therapeutic targets.
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spelling pubmed-81109102021-05-12 Screening and Identification of Key Microenvironment-Related Genes in Non-functioning Pituitary Adenoma Guo, Jing Fang, Qiuyue Liu, Yulou Xie, Weiyan Li, Chuzhong Zhang, Yazhuo Front Genet Genetics PURPOSE: Non-functioning pituitary adenoma (NFPA) is a very common type of intracranial tumor, which can be locally invasive and can have a high recurrence rate. The tumor microenvironment (TME) shows a high correlation with tumor pathogenesis and prognosis. The current study aimed to identify microenvironment-related genes in NFPAs and assess their prognostic value. METHODS: 73 NFPA tumor samples were collected from Beijing Tiantan Hospital and transcriptional expression profiles were obtained through microarray analysis. The immune and stromal scores of each sample were calculated through the ESTIMATE algorithm, and the patients were divided into high and low immune/stromal score groups. Intersection differentially expressed genes (DEGs) were then obtained to construct a protein–protein interaction (PPI) network. Potential functions and pathways of intersection DEGs were then analyzed through Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes. The prognostic value of these genes was evaluated. The quantitative real-time polymerase chain reaction in another set of NFPA samples was used to confirm the credibility of the bioinformatics analysis. RESULTS: The immune/stromal scores were significantly correlated with cavernous sinus (CS) invasion. The Kaplan–Meier curve indicated that the high immune score group was significantly related to poor recurrence-free survival. We identified 497 intersection DEGs based on the high vs. low immune/stromal score groups. Function enrichment analyses of 497 DEGs and hub genes from the PPI network showed that these genes are mainly involved in the immune/inflammatory response, T cell activation, and the phosphatidylinositol 3 kinase-protein kinase B signaling pathway. Among the intersection DEGs, 88 genes were further verified as significantly expressed between the CS invasive group and the non-invasive group, and five genes were highly associated with NFPA prognosis. CONCLUSION: We screened out a series of critical genes associated with the TME in NFPAs. These genes may play a fundamental role in the development and prognosis of NFPA and may yield new therapeutic targets. Frontiers Media S.A. 2021-04-27 /pmc/articles/PMC8110910/ /pubmed/33986766 http://dx.doi.org/10.3389/fgene.2021.627117 Text en Copyright © 2021 Guo, Fang, Liu, Xie, Li and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Guo, Jing
Fang, Qiuyue
Liu, Yulou
Xie, Weiyan
Li, Chuzhong
Zhang, Yazhuo
Screening and Identification of Key Microenvironment-Related Genes in Non-functioning Pituitary Adenoma
title Screening and Identification of Key Microenvironment-Related Genes in Non-functioning Pituitary Adenoma
title_full Screening and Identification of Key Microenvironment-Related Genes in Non-functioning Pituitary Adenoma
title_fullStr Screening and Identification of Key Microenvironment-Related Genes in Non-functioning Pituitary Adenoma
title_full_unstemmed Screening and Identification of Key Microenvironment-Related Genes in Non-functioning Pituitary Adenoma
title_short Screening and Identification of Key Microenvironment-Related Genes in Non-functioning Pituitary Adenoma
title_sort screening and identification of key microenvironment-related genes in non-functioning pituitary adenoma
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110910/
https://www.ncbi.nlm.nih.gov/pubmed/33986766
http://dx.doi.org/10.3389/fgene.2021.627117
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