Identification of a ceRNA Network Regulating Malignant Transformation of Isocitrate Dehydrogenase Mutant Astrocytoma: An Integrated Bioinformatics Study.

Yaqian Cui, Hongquan Zheng, Zhengwei Zhou, Suo Liu, Mingxue Shen, Runze Qiu, Xiong Zhang, Yingbin Li, Hongwei Fan
{"title":"Identification of a ceRNA Network Regulating Malignant Transformation of Isocitrate Dehydrogenase Mutant Astrocytoma: An Integrated Bioinformatics Study.","authors":"Yaqian Cui, Hongquan Zheng, Zhengwei Zhou, Suo Liu, Mingxue Shen, Runze Qiu, Xiong Zhang, Yingbin Li, Hongwei Fan","doi":"10.2174/0115734099293010240810181446","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Astrocytoma is the most common glioma, accounting for about 65% of glioblastoma. Its malignant transformation is also one of the important causes of patient mortality, making it the most prevalent and difficult to treat in primary brain tumours. However, little is known about the underlying mechanisms of this transformation.</p><p><strong>Methods: </strong>In this study, we established a ceRNA network to screen out the potential regulatory pathways involved in the malignant transformation of IDH-mutant astrocytomas. Firstly, the Chinese Glioma Genome Atlas (CGGA) was employed to compare the expression levels of the differential expressed genes (DEGs) in astrocytomas. Then, the ceRNA-regulated network was constructed based on the interaction of lncRNA-miRNA-mRNA. The Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to explore the main functions of the differentially expressed genes. COX regression analysis and log-rank test were combined to screen the ceRNA network further. In addition, quantitative real-time PCR (qRT-PCR) was conducted to identify the potential regulatory mechanisms of malignant transformation in IDH-mutant astrocytoma. We constructed a ceRNA network with 34 lncRNAs, 29 miRNAs, and 71 mRNAs.</p><p><strong>Results: </strong>GO and KEGG analyses results suggested that DEGs were associated with tumor-associated molecular functions and pathways. In addition, we screened two ceRNA regulatory networks using Cox regression analysis and log-rank test. QRT-PCR assay identified the NAA11/hsa- miR-142-3p/GS1-39E22.2 regulatory axis of the ceRNA network to be associated with the malignant transformation of IDH-mutant astrocytoma.</p><p><strong>Conclusion: </strong>The discovery of this mechanism deepens our understanding of the molecular mechanisms of malignant transformation in astrocytomas and provides new perspectives for exploring glioma progression and targeted therapies.</p>","PeriodicalId":93961,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current computer-aided drug design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0115734099293010240810181446","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Astrocytoma is the most common glioma, accounting for about 65% of glioblastoma. Its malignant transformation is also one of the important causes of patient mortality, making it the most prevalent and difficult to treat in primary brain tumours. However, little is known about the underlying mechanisms of this transformation.

Methods: In this study, we established a ceRNA network to screen out the potential regulatory pathways involved in the malignant transformation of IDH-mutant astrocytomas. Firstly, the Chinese Glioma Genome Atlas (CGGA) was employed to compare the expression levels of the differential expressed genes (DEGs) in astrocytomas. Then, the ceRNA-regulated network was constructed based on the interaction of lncRNA-miRNA-mRNA. The Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to explore the main functions of the differentially expressed genes. COX regression analysis and log-rank test were combined to screen the ceRNA network further. In addition, quantitative real-time PCR (qRT-PCR) was conducted to identify the potential regulatory mechanisms of malignant transformation in IDH-mutant astrocytoma. We constructed a ceRNA network with 34 lncRNAs, 29 miRNAs, and 71 mRNAs.

Results: GO and KEGG analyses results suggested that DEGs were associated with tumor-associated molecular functions and pathways. In addition, we screened two ceRNA regulatory networks using Cox regression analysis and log-rank test. QRT-PCR assay identified the NAA11/hsa- miR-142-3p/GS1-39E22.2 regulatory axis of the ceRNA network to be associated with the malignant transformation of IDH-mutant astrocytoma.

Conclusion: The discovery of this mechanism deepens our understanding of the molecular mechanisms of malignant transformation in astrocytomas and provides new perspectives for exploring glioma progression and targeted therapies.

调控异柠檬酸脱氢酶突变星形细胞瘤恶性转化的ceRNA网络的鉴定:一项综合生物信息学研究。
星形细胞瘤是最常见的胶质瘤,约占胶质母细胞瘤的65%。它的恶性转化也是患者死亡的重要原因之一,使其成为原发性脑肿瘤中最普遍和最难治疗的肿瘤。然而,人们对这种转变的潜在机制知之甚少。方法:在本研究中,我们建立了ceRNA网络,筛选idh突变星形细胞瘤恶性转化的潜在调控途径。首先,采用中国胶质瘤基因组图谱(CGGA)比较星形细胞瘤中差异表达基因(DEGs)的表达水平。然后,构建基于lncRNA-miRNA-mRNA相互作用的cerna调控网络。使用基因本体(GO)和京都基因与基因组百科全书(KEGG)来探索差异表达基因的主要功能。结合COX回归分析和log-rank检验进一步筛选ceRNA网络。此外,我们还利用实时荧光定量PCR (qRT-PCR)技术鉴定idh突变型星形细胞瘤恶性转化的潜在调控机制。我们构建了一个包含34个lncrna, 29个mirna和71个mrna的ceRNA网络。结果:GO和KEGG分析结果表明,DEGs与肿瘤相关的分子功能和途径有关。此外,我们使用Cox回归分析和log-rank检验筛选了两个ceRNA调控网络。QRT-PCR检测发现,ceRNA网络的NAA11/hsa- miR-142-3p/GS1-39E22.2调控轴与idh突变型星形细胞瘤的恶性转化有关。结论:该机制的发现加深了我们对星形细胞瘤恶性转化分子机制的认识,为探索胶质瘤的进展和靶向治疗提供了新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信