• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

胰岛素样生长因子结合蛋白2是驱动多形性胶质母细胞瘤中导致生存期短的失调基因网络的潜在主要调节因子。

IGFBP2 Is a Potential Master Regulator Driving the Dysregulated Gene Network Responsible for Short Survival in Glioblastoma Multiforme.

作者信息

Kalya Manasa, Kel Alexander, Wlochowitz Darius, Wingender Edgar, Beißbarth Tim

机构信息

Department of Medical Bioinformatics, University Medical Center Göttingen, Göttingen, Germany.

geneXplain GmbH, Wolfenbüttel, Germany.

出版信息

Front Genet. 2021 Jun 15;12:670240. doi: 10.3389/fgene.2021.670240. eCollection 2021.

DOI:10.3389/fgene.2021.670240
PMID:34211498
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8239365/
Abstract

Only 2% of glioblastoma multiforme (GBM) patients respond to standard therapy and survive beyond 36 months (long-term survivors, LTS), while the majority survive less than 12 months (short-term survivors, STS). To understand the mechanism leading to poor survival, we analyzed publicly available datasets of 113 STS and 58 LTS. This analysis revealed 198 differentially expressed genes (DEGs) that characterize aggressive tumor growth and may be responsible for the poor prognosis. These genes belong largely to the Gene Ontology (GO) categories "epithelial-to-mesenchymal transition" and "response to hypoxia." In this article, we applied an upstream analysis approach that involves state-of-the-art promoter analysis and network analysis of the dysregulated genes potentially responsible for short survival in GBM. Binding sites for transcription factors (TFs) associated with GBM pathology like NANOG, NF-κB, REST, FRA-1, PPARG, and seven others were found enriched in the promoters of the dysregulated genes. We reconstructed the gene regulatory network with several positive feedback loops controlled by five master regulators [insulin-like growth factor binding protein 2 (IGFBP2), vascular endothelial growth factor A (VEGFA), VEGF165, platelet-derived growth factor A (PDGFA), adipocyte enhancer-binding protein (AEBP1), and oncostatin M (OSMR)], which can be proposed as biomarkers and as therapeutic targets for enhancing GBM prognosis. A critical analysis of this gene regulatory network gives insights into the mechanism of gene regulation by IGFBP2 several TFs including the key molecule of GBM tumor invasiveness and progression, FRA-1. All the observations were validated in independent cohorts, and their impact on overall survival has been investigated.

摘要

只有2%的多形性胶质母细胞瘤(GBM)患者对标准治疗有反应并存活超过36个月(长期存活者,LTS),而大多数患者存活时间少于12个月(短期存活者,STS)。为了解导致存活率低的机制,我们分析了公开可用的包含113例STS和58例LTS的数据集。该分析揭示了198个差异表达基因(DEG),这些基因表征侵袭性肿瘤生长,可能是预后不良的原因。这些基因主要属于基因本体(GO)类别“上皮-间质转化”和“缺氧反应”。在本文中,我们应用了一种上游分析方法,该方法涉及对可能导致GBM短期存活的失调基因进行最先进的启动子分析和网络分析。在失调基因的启动子中发现与GBM病理学相关的转录因子(TF)如NANOG、NF-κB、REST、FRA-1、PPARG等七个转录因子的结合位点富集。我们重建了由五个主调控因子[胰岛素样生长因子结合蛋白2(IGFBP2)、血管内皮生长因子A(VEGFA)、VEGF165、血小板衍生生长因子A(PDGFA)、脂肪细胞增强子结合蛋白(AEBP1)和制瘤素M(OSMR)]控制的具有多个正反馈环的基因调控网络,这些主调控因子可被提议作为生物标志物和改善GBM预后的治疗靶点。对该基因调控网络的批判性分析深入了解了IGFBP2对基因调控的机制,IGFBP2调控包括GBM肿瘤侵袭和进展的关键分子FRA-1在内的几个TF。所有观察结果均在独立队列中得到验证,并研究了它们对总生存期的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69be/8239365/7d0e5811692d/fgene-12-670240-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69be/8239365/6593c6c02f73/fgene-12-670240-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69be/8239365/2aaca7efa6de/fgene-12-670240-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69be/8239365/99975dc0af20/fgene-12-670240-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69be/8239365/c2906672472f/fgene-12-670240-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69be/8239365/7d0e5811692d/fgene-12-670240-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69be/8239365/6593c6c02f73/fgene-12-670240-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69be/8239365/2aaca7efa6de/fgene-12-670240-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69be/8239365/99975dc0af20/fgene-12-670240-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69be/8239365/c2906672472f/fgene-12-670240-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69be/8239365/7d0e5811692d/fgene-12-670240-g005.jpg

相似文献

1
IGFBP2 Is a Potential Master Regulator Driving the Dysregulated Gene Network Responsible for Short Survival in Glioblastoma Multiforme.胰岛素样生长因子结合蛋白2是驱动多形性胶质母细胞瘤中导致生存期短的失调基因网络的潜在主要调节因子。
Front Genet. 2021 Jun 15;12:670240. doi: 10.3389/fgene.2021.670240. eCollection 2021.
2
[Master regulators associated with poor prognosis in glioblastoma multiforme].[与多形性胶质母细胞瘤预后不良相关的主调控因子]
Biomed Khim. 2021 May;67(3):201-212. doi: 10.18097/PBMC20216703201.
3
Comparative analysis of deeply phenotyped GBM cohorts of 'short-term' and 'long-term' survivors.深度表型分析“短期”和“长期”生存胶质母细胞瘤队列的比较。
J Neurooncol. 2023 Jun;163(2):327-338. doi: 10.1007/s11060-023-04341-3. Epub 2023 May 26.
4
Annexin A2-STAT3-Oncostatin M receptor axis drives phenotypic and mesenchymal changes in glioblastoma.膜联蛋白 A2-STAT3-孤啡肽受体轴驱动胶质母细胞瘤的表型和间充质变化。
Acta Neuropathol Commun. 2020 Apr 5;8(1):42. doi: 10.1186/s40478-020-00916-7.
5
IGFBP2 promotes immunosuppression associated with its mesenchymal induction and FcγRIIB phosphorylation in glioblastoma.IGFBP2 通过其间充质诱导和 FcγRIIB 磷酸化促进胶质母细胞瘤中的免疫抑制。
PLoS One. 2019 Sep 27;14(9):e0222999. doi: 10.1371/journal.pone.0222999. eCollection 2019.
6
Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.脑胶质母细胞瘤中显著基因、相关通路和候选预后生物标志物的生物信息学分析。
Mol Med Rep. 2018 Nov;18(5):4185-4196. doi: 10.3892/mmr.2018.9411. Epub 2018 Aug 21.
7
Identification of hub genes and regulatory factors of glioblastoma multiforme subgroups by RNA-seq data analysis.通过RNA测序数据分析鉴定多形性胶质母细胞瘤亚组的核心基因和调控因子
Int J Mol Med. 2016 Oct;38(4):1170-8. doi: 10.3892/ijmm.2016.2717. Epub 2016 Aug 26.
8
Expression Profile Analysis Identifies a Novel Five-Gene Signature to Improve Prognosis Prediction of Glioblastoma.表达谱分析鉴定出一种新型五基因特征以改善胶质母细胞瘤的预后预测。
Front Genet. 2019 May 3;10:419. doi: 10.3389/fgene.2019.00419. eCollection 2019.
9
Molecular profiling of short-term and long-term surviving patients identifies CD34 mRNA level as prognostic for glioblastoma survival.对短期和长期存活患者的分子谱分析确定 CD34 mRNA 水平可作为胶质母细胞瘤生存的预后指标。
J Neurooncol. 2018 May;137(3):533-542. doi: 10.1007/s11060-017-2739-7. Epub 2018 Jan 5.
10
Large-Scale Analysis Reveals Gene Signature for Survival Prediction in Primary Glioblastoma.大规模分析揭示原发性胶质母细胞瘤生存预测的基因特征。
Mol Neurobiol. 2020 Dec;57(12):5235-5246. doi: 10.1007/s12035-020-02088-w. Epub 2020 Sep 1.

引用本文的文献

1
IGFBP-2 and IGF-II: Key Components of the Neural Stem Cell Niche? Implications for Glioblastoma Pathogenesis.胰岛素样生长因子结合蛋白-2与胰岛素样生长因子-II:神经干细胞生态位的关键组成部分?对胶质母细胞瘤发病机制的影响
Int J Mol Sci. 2025 May 15;26(10):4749. doi: 10.3390/ijms26104749.
2
Analysis of transcription profiles for the identification of master regulators as the key players in glioblastoma.分析转录谱以鉴定作为胶质母细胞瘤关键参与者的主调控因子。
Comput Struct Biotechnol J. 2024 Sep 28;23:3559-3574. doi: 10.1016/j.csbj.2024.09.022. eCollection 2024 Dec.
3
Deciphering the Hypoxia-immune interface in esophageal squamous carcinoma: a prognostic network model.

本文引用的文献

1
GTRD: an integrated view of transcription regulation.GTRD:转录调控的综合视图。
Nucleic Acids Res. 2021 Jan 8;49(D1):D104-D111. doi: 10.1093/nar/gkaa1057.
2
KEGG: integrating viruses and cellular organisms.KEGG:整合病毒和细胞生物。
Nucleic Acids Res. 2021 Jan 8;49(D1):D545-D551. doi: 10.1093/nar/gkaa970.
3
Large-Scale Analysis Reveals Gene Signature for Survival Prediction in Primary Glioblastoma.大规模分析揭示原发性胶质母细胞瘤生存预测的基因特征。
解析食管鳞状细胞癌中的缺氧-免疫界面:一种预后网络模型。
Front Oncol. 2023 Dec 12;13:1296814. doi: 10.3389/fonc.2023.1296814. eCollection 2023.
4
Tumor and immune cell types interact to produce heterogeneous phenotypes of pediatric high-grade glioma.肿瘤细胞和免疫细胞相互作用产生异质性表型的小儿高级别胶质瘤。
Neuro Oncol. 2024 Mar 4;26(3):538-552. doi: 10.1093/neuonc/noad207.
5
Comparative analysis of deeply phenotyped GBM cohorts of 'short-term' and 'long-term' survivors.深度表型分析“短期”和“长期”生存胶质母细胞瘤队列的比较。
J Neurooncol. 2023 Jun;163(2):327-338. doi: 10.1007/s11060-023-04341-3. Epub 2023 May 26.
6
Insulin-like growth factor binding protein-2 and glucose-regulated protein 78 kDa: Potential biomarkers affect prognosis in IDH-wildtype glioblastoma patients.胰岛素样生长因子结合蛋白-2 和葡萄糖调节蛋白 78kDa:潜在的生物标志物影响 IDH 野生型胶质母细胞瘤患者的预后。
Cancer Med. 2023 Jul;12(13):14426-14439. doi: 10.1002/cam4.6071. Epub 2023 May 22.
7
Signaling Pathways of the Insulin-like Growth Factor Binding Proteins.胰岛素样生长因子结合蛋白的信号通路。
Endocr Rev. 2023 Sep 15;44(5):753-778. doi: 10.1210/endrev/bnad008.
Mol Neurobiol. 2020 Dec;57(12):5235-5246. doi: 10.1007/s12035-020-02088-w. Epub 2020 Sep 1.
4
NF-κB inhibitor with Temozolomide results in significant apoptosis in glioblastoma via the NF-κB(p65) and actin cytoskeleton regulatory pathways.替莫唑胺联合 NF-κB 抑制剂通过 NF-κB(p65)和肌动蛋白细胞骨架调节通路诱导胶质母细胞瘤发生显著凋亡。
Sci Rep. 2020 Aug 7;10(1):13352. doi: 10.1038/s41598-020-70392-5.
5
AEBP1 is a Novel Oncogene: Mechanisms of Action and Signaling Pathways.AEBP1是一种新型癌基因:作用机制与信号通路
J Oncol. 2020 May 27;2020:8097872. doi: 10.1155/2020/8097872. eCollection 2020.
6
The reactome pathway knowledgebase.Reactome 通路知识库。
Nucleic Acids Res. 2020 Jan 8;48(D1):D498-D503. doi: 10.1093/nar/gkz1031.
7
IGFBP2 promotes immunosuppression associated with its mesenchymal induction and FcγRIIB phosphorylation in glioblastoma.IGFBP2 通过其间充质诱导和 FcγRIIB 磷酸化促进胶质母细胞瘤中的免疫抑制。
PLoS One. 2019 Sep 27;14(9):e0222999. doi: 10.1371/journal.pone.0222999. eCollection 2019.
8
Expanding the scope of candidate prognostic marker IGFBP2 in glioblastoma.扩大候选预后标志物 IGFBP2 在胶质母细胞瘤中的应用范围。
Biosci Rep. 2019 Jul 18;39(7). doi: 10.1042/BSR20190770. Print 2019 Jul 31.
9
BioUML: an integrated environment for systems biology and collaborative analysis of biomedical data.BioUML:一个系统生物学和生物医学数据协作分析的集成环境。
Nucleic Acids Res. 2019 Jul 2;47(W1):W225-W233. doi: 10.1093/nar/gkz440.
10
ERK is a Pivotal Player of Chemo-Immune-Resistance in Cancer.ERK 是癌症化疗免疫耐药中的关键参与者。
Int J Mol Sci. 2019 May 21;20(10):2505. doi: 10.3390/ijms20102505.