{"title":"Transcriptomic Profile of Isocitrate Dehydrogenase Mutant Type of Lower-Grade Glioma Reveals Molecular Changes for Prognosis.","authors":"Seong Beom Cho","doi":"10.3390/biomedicines13092263","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background/Objectives:</b> Lower-grade glioma (LGG) is a type of brain tumor with a relatively better prognosis than glioblastoma. However, identifying therapeutic targets for LGGs remains elusive. To uncover the molecular features of LGGs, functional genomics data have been investigated. <b>Methods</b>: Using public transcriptomics data of LGGs (The Cancer Genome Atlas and GSE107850), differentially expressed genes (DEGs) and differentially co-expressed (DCE) gene pairs between IDH mutation statuses were determined. Gene set enrichment analysis identified the molecular mechanisms of isocitrate dehydrogenase (IDH) mutation in LGGs. Furthermore, the identified DEGs and DCE gene pairs were used for drug repurposing analysis. <b>Results</b>: Two public datasets revealed an overlap of 1527 DEGs. Whereas only seven gene pairs showed significant differential co-expression in both datasets, 1016 genes were simultaneously involved in differential co-expression. Gene set enrichment revealed that biological processes related to neuronal tissue formation were significantly associated with the DEGs. Using drug repurposing analysis, it was found that NVP-TAE684 and bisindolylmaleimide were possible chemical compounds for the LGG treatment. <b>Conclusions:</b> Using transcriptomics data, molecular mechanisms associated with LGG prognosis were identified. This work provides clues for future research on LGG treatment.</p>","PeriodicalId":8937,"journal":{"name":"Biomedicines","volume":"13 9","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12467759/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedicines","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3390/biomedicines13092263","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background/Objectives: Lower-grade glioma (LGG) is a type of brain tumor with a relatively better prognosis than glioblastoma. However, identifying therapeutic targets for LGGs remains elusive. To uncover the molecular features of LGGs, functional genomics data have been investigated. Methods: Using public transcriptomics data of LGGs (The Cancer Genome Atlas and GSE107850), differentially expressed genes (DEGs) and differentially co-expressed (DCE) gene pairs between IDH mutation statuses were determined. Gene set enrichment analysis identified the molecular mechanisms of isocitrate dehydrogenase (IDH) mutation in LGGs. Furthermore, the identified DEGs and DCE gene pairs were used for drug repurposing analysis. Results: Two public datasets revealed an overlap of 1527 DEGs. Whereas only seven gene pairs showed significant differential co-expression in both datasets, 1016 genes were simultaneously involved in differential co-expression. Gene set enrichment revealed that biological processes related to neuronal tissue formation were significantly associated with the DEGs. Using drug repurposing analysis, it was found that NVP-TAE684 and bisindolylmaleimide were possible chemical compounds for the LGG treatment. Conclusions: Using transcriptomics data, molecular mechanisms associated with LGG prognosis were identified. This work provides clues for future research on LGG treatment.
背景/目的:低级别胶质瘤(LGG)是一种预后相对于胶质母细胞瘤较好的脑肿瘤。然而,确定lgg的治疗靶点仍然难以捉摸。为了揭示LGGs的分子特征,对功能基因组学数据进行了研究。方法:利用公开的LGGs (The Cancer Genome Atlas和GSE107850)转录组学数据,确定IDH突变状态之间的差异表达基因(DEGs)和差异共表达基因(DCE)对。基因集富集分析确定了LGGs异柠檬酸脱氢酶(IDH)突变的分子机制。此外,将鉴定的DEGs和DCE基因对用于药物再利用分析。结果:两个公共数据集显示重叠1527度。虽然在两个数据集中只有7对基因显示显著的差异共表达,但1016个基因同时参与差异共表达。基因集富集表明,与神经元组织形成相关的生物过程与deg显著相关。通过药物再利用分析,发现NVP-TAE684和双吲哚酰马来酰亚胺可能是治疗LGG的化合物。结论:利用转录组学数据,确定了与LGG预后相关的分子机制。这项工作为今后LGG治疗的研究提供了线索。
BiomedicinesBiochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
5.20
自引率
8.50%
发文量
2823
审稿时长
8 weeks
期刊介绍:
Biomedicines (ISSN 2227-9059; CODEN: BIOMID) is an international, scientific, open access journal on biomedicines published quarterly online by MDPI.