• 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

DDOST 与脑胶质瘤中的恶性肿瘤和免疫微环境相关。

DDOST Correlated with Malignancies and Immune Microenvironment in Gliomas.

机构信息

Department of Radiotherapy, the Second Hospital of Hebei Medical University, Shijiazhuang, China.

Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States.

出版信息

Front Immunol. 2022 Jun 23;13:917014. doi: 10.3389/fimmu.2022.917014. eCollection 2022.

DOI:10.3389/fimmu.2022.917014
PMID:35812432
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9260604/
Abstract

Among the most common types of brain tumor, gliomas are the most aggressive and have the poorest prognosis. Dolichyl-diphosphooligosaccharide protein glycosyltransferase non-catalytic subunit (DDOST) encodes a component of the oligosaccharide transferase complex and is related to the N-glycosylation of proteins. The role of DDOST in gliomas, however, is not yet known. First, we performed a pan cancer analysis of DDOST in the TCGA cohort. The expression of DDOST was compared between glioma and normal brain tissues in the GEO and Chinese Glioma Genome Atlas (CGGA) databases. In order to explore the role of DDOST in glioma, we analyze the impact of DDOST on the prognosis of glioma patients, with the CGGA 325 dataset as a test set and the CGGA 693 dataset as a validation set. Immunohistochemistry was performed on tissue microarrays to examine whether DDOST has an impact on glioma patient survival. Next, using single-cell sequencing analysis, GSEA, immune infiltration analysis, and mutation analysis, we explored how DDOST affected the glioma tumor microenvironment. Finally, we evaluated the clinical significance of DDOST for glioma treatment by constructing nomograms and decision curve analysis (DCA) curves. We found that DDOST was overexpressed in patients with high grade, IDH wild type, 1p19q non-codel and MGMT un-methylated, which was associated with poor prognosis. Patients with high levels of DDOST, regardless of their clinical characteristics, had a worse prognosis. Immunohistochemical analysis confirmed the results of the above bioinformatics analysis. Mechanistic analysis revealed that DDOST was closely associated with the glioma microenvironment and negatively related to tumor-infiltrating B cells and CD4+ T cells and positively related to CAFs and tumor-associated macrophages. In conclusion, these findings suggested that DDOST mediated the immunosuppressive microenvironment of gliomas and could be an important biomarker in diagnosing and treating gliomas.

摘要

在最常见的脑肿瘤类型中,神经胶质瘤的侵袭性最强,预后最差。Dolichyl-diphosphooligosaccharide protein glycosyltransferase non-catalytic subunit (DDOST) 编码寡糖转移酶复合物的一个组成部分,与蛋白质的 N-糖基化有关。然而,DDOST 在神经胶质瘤中的作用尚不清楚。首先,我们在 TCGA 队列中对 DDOST 进行了泛癌症分析。在 GEO 和中国神经胶质瘤基因组图谱 (CGGA) 数据库中比较了神经胶质瘤和正常脑组织中 DDOST 的表达。为了探讨 DDOST 在神经胶质瘤中的作用,我们分析了 DDOST 对神经胶质瘤患者预后的影响,以 CGGA 325 数据集作为测试集,CGGA 693 数据集作为验证集。通过组织微阵列进行免疫组织化学检测,以研究 DDOST 是否对神经胶质瘤患者的生存产生影响。接下来,我们通过单细胞测序分析、GSEA、免疫浸润分析和突变分析,探讨了 DDOST 如何影响神经胶质瘤肿瘤微环境。最后,我们通过构建列线图和决策曲线分析 (DCA) 曲线评估了 DDOST 对神经胶质瘤治疗的临床意义。我们发现,在高级别、IDH 野生型、1p19q 非共缺失和 MGMT 未甲基化的患者中,DDOST 表达上调,与预后不良相关。无论患者的临床特征如何,高水平的 DDOST 患者预后更差。免疫组织化学分析证实了上述生物信息学分析的结果。机制分析表明,DDOST 与神经胶质瘤微环境密切相关,与肿瘤浸润性 B 细胞和 CD4+T 细胞呈负相关,与 CAFs 和肿瘤相关巨噬细胞呈正相关。总之,这些发现表明 DDOST 介导了神经胶质瘤的免疫抑制微环境,可能是诊断和治疗神经胶质瘤的重要生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/4362d9af9e88/fimmu-13-917014-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/baf561213a1d/fimmu-13-917014-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/c0596e152e6d/fimmu-13-917014-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/73788c068a8b/fimmu-13-917014-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/885ed8083884/fimmu-13-917014-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/5d094e86be04/fimmu-13-917014-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/4b67555769bd/fimmu-13-917014-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/959d5ec3e761/fimmu-13-917014-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/d8646d29bdb1/fimmu-13-917014-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/3e7c7f4289f8/fimmu-13-917014-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/8c7e060416fa/fimmu-13-917014-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/4362d9af9e88/fimmu-13-917014-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/baf561213a1d/fimmu-13-917014-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/c0596e152e6d/fimmu-13-917014-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/73788c068a8b/fimmu-13-917014-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/885ed8083884/fimmu-13-917014-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/5d094e86be04/fimmu-13-917014-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/4b67555769bd/fimmu-13-917014-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/959d5ec3e761/fimmu-13-917014-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/d8646d29bdb1/fimmu-13-917014-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/3e7c7f4289f8/fimmu-13-917014-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/8c7e060416fa/fimmu-13-917014-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c1f/9260604/4362d9af9e88/fimmu-13-917014-g011.jpg

相似文献

1
DDOST Correlated with Malignancies and Immune Microenvironment in Gliomas.DDOST 与脑胶质瘤中的恶性肿瘤和免疫微环境相关。
Front Immunol. 2022 Jun 23;13:917014. doi: 10.3389/fimmu.2022.917014. eCollection 2022.
2
An immune-related multi-omics analysis of dolichyl-diphosphooligosaccharide protein glycosyltransferase in glioma: Prognostic value exploration and competitive endogenous RNA network identification.免疫相关的多组学分析在神经胶质瘤中多萜醇二磷酸寡糖蛋白糖基转移酶:预后价值的探索和竞争性内源性 RNA 网络的鉴定。
IET Syst Biol. 2023 Oct;17(5):271-287. doi: 10.1049/syb2.12075. Epub 2023 Aug 22.
3
MELK is a prognostic biomarker and correlated with immune infiltration in glioma.MELK是一种预后生物标志物,与胶质瘤中的免疫浸润相关。
Front Neurol. 2022 Oct 24;13:977180. doi: 10.3389/fneur.2022.977180. eCollection 2022.
4
MCM10 as a novel prognostic biomarker and its relevance to immune infiltration in gliomas.MCM10 作为一种新型的预后生物标志物及其与胶质瘤免疫浸润的相关性。
Technol Health Care. 2023;31(4):1301-1317. doi: 10.3233/THC-220576.
5
Prognostic Biomarker DDOST and Its Correlation With Immune Infiltrates in Hepatocellular Carcinoma.预后生物标志物DDOST及其与肝细胞癌免疫浸润的相关性
Front Genet. 2022 Jan 31;12:819520. doi: 10.3389/fgene.2021.819520. eCollection 2021.
6
PLEKHA4 Is a Prognostic Biomarker and Correlated with Immune Infiltrates in Glioma.PLEKHA4 是胶质母细胞瘤的预后生物标志物,并与免疫浸润相关。
Biomed Res Int. 2023 Jan 17;2023:4504474. doi: 10.1155/2023/4504474. eCollection 2023.
7
Glioma hexokinase 3 positively correlates with malignancy and macrophage infiltration.神经胶质瘤己糖激酶 3 与恶性程度和巨噬细胞浸润呈正相关。
Metab Brain Dis. 2024 Jun;39(5):719-729. doi: 10.1007/s11011-023-01333-0. Epub 2024 Apr 30.
8
Systematically characterize the clinical and biological significances of 1p19q genes in 1p/19q non-codeletion glioma.系统地描述 1p/19q 非缺失型脑胶质瘤中 1p19q 基因的临床和生物学意义。
Carcinogenesis. 2019 Oct 16;40(10):1229-1239. doi: 10.1093/carcin/bgz102.
9
CKS2 (CDC28 protein kinase regulatory subunit 2) is a prognostic biomarker in lower grade glioma: a study based on bioinformatic analysis and immunohistochemistry.CKS2(CDC28 蛋白激酶调节亚基 2)是低级别胶质瘤的预后生物标志物:基于生物信息学分析和免疫组织化学的研究。
Bioengineered. 2021 Dec;12(1):5996-6009. doi: 10.1080/21655979.2021.1972197.
10
MAPK4 predicts poor prognosis and facilitates the proliferation and migration of glioma through the AKT/mTOR pathway.MAPK4 预测预后不良,并通过 AKT/mTOR 通路促进神经胶质瘤的增殖和迁移。
Cancer Med. 2023 May;12(10):11624-11640. doi: 10.1002/cam4.5859. Epub 2023 Mar 31.

引用本文的文献

1
Progress in research on DDOST dysregulation in related diseases.DDOST在相关疾病中失调的研究进展。
Glycoconj J. 2025 Jul 2. doi: 10.1007/s10719-025-10188-9.
2
Characterization and prognostic of CD8 + TIM3 + CD101 + T cells in glioblastoma multiforme.多形性胶质母细胞瘤中CD8 + TIM3 + CD101 + T细胞的特征与预后分析
Cell Biosci. 2025 May 15;15(1):60. doi: 10.1186/s13578-025-01390-1.
3
Limitations of nomogram models in predicting survival outcomes for glioma patients.列线图模型在预测神经胶质瘤患者生存结局方面的局限性。

本文引用的文献

1
ITGA5 Is a Novel Oncogenic Biomarker and Correlates With Tumor Immune Microenvironment in Gliomas.整合素α5是一种新型致癌生物标志物,与胶质瘤的肿瘤免疫微环境相关。
Front Oncol. 2022 Mar 18;12:844144. doi: 10.3389/fonc.2022.844144. eCollection 2022.
2
Tenascin-C can Serve as an Indicator for the Immunosuppressive Microenvironment of Diffuse Low-Grade Gliomas.Tenascin-C 可作为弥漫性低级别神经胶质瘤免疫抑制微环境的标志物。
Front Immunol. 2022 Mar 16;13:824586. doi: 10.3389/fimmu.2022.824586. eCollection 2022.
3
Prognostic Biomarker DDOST and Its Correlation With Immune Infiltrates in Hepatocellular Carcinoma.
Front Immunol. 2025 Mar 18;16:1547506. doi: 10.3389/fimmu.2025.1547506. eCollection 2025.
4
A VAT1-related gene signature predicts radioresistance in gliomas.一种与VAT1相关的基因特征可预测胶质瘤的放射抗性。
Heliyon. 2025 Feb 8;11(4):e42583. doi: 10.1016/j.heliyon.2025.e42583. eCollection 2025 Feb 28.
5
An 11-gene glycosyltransferases-related model for the prognosis of patients with bladder urothelial carcinoma: development and validation based on TCGA and GEO datasets.一种用于预测膀胱尿路上皮癌患者预后的11基因糖基转移酶相关模型:基于TCGA和GEO数据集的构建与验证
Transl Androl Urol. 2024 Dec 31;13(12):2771-2786. doi: 10.21037/tau-2024-632. Epub 2024 Dec 28.
6
Induction of oxidative- and endoplasmic-reticulum-stress dependent apoptosis in pancreatic cancer cell lines by DDOST knockdown.通过 DDOST 敲低诱导胰腺癌细胞系中的氧化应激和内质网应激依赖性细胞凋亡。
Sci Rep. 2024 Sep 2;14(1):20388. doi: 10.1038/s41598-024-68510-8.
7
DDOST is associated with tumor immunosuppressive microenvironment in cervical cancer.DDOST与宫颈癌的肿瘤免疫抑制微环境相关。
Discov Oncol. 2024 Mar 9;15(1):69. doi: 10.1007/s12672-024-00927-z.
8
ARPC5 acts as a potential prognostic biomarker that is associated with cell proliferation, migration and immune infiltrate in gliomas.ARPC5作为一种潜在的预后生物标志物,与胶质瘤中的细胞增殖、迁移和免疫浸润相关。
BMC Cancer. 2023 Oct 3;23(1):937. doi: 10.1186/s12885-023-11433-w.
9
An immune-related multi-omics analysis of dolichyl-diphosphooligosaccharide protein glycosyltransferase in glioma: Prognostic value exploration and competitive endogenous RNA network identification.免疫相关的多组学分析在神经胶质瘤中多萜醇二磷酸寡糖蛋白糖基转移酶:预后价值的探索和竞争性内源性 RNA 网络的鉴定。
IET Syst Biol. 2023 Oct;17(5):271-287. doi: 10.1049/syb2.12075. Epub 2023 Aug 22.
10
Optimized risk stratification strategy for glioma patients based on the feature genes of poor immune cell infiltration patterns.基于免疫细胞浸润模式不良特征基因的胶质瘤患者优化风险分层策略。
J Cancer Res Clin Oncol. 2023 Nov;149(15):13855-13874. doi: 10.1007/s00432-023-05209-9. Epub 2023 Aug 3.
预后生物标志物DDOST及其与肝细胞癌免疫浸润的相关性
Front Genet. 2022 Jan 31;12:819520. doi: 10.3389/fgene.2021.819520. eCollection 2021.
4
Clinical and Prognostic Implications of 1p/19q, Promoter, and Promoter Alterations, and Expression of Ki-67 and p53 in Human Gliomas.1p/19q、启动子及启动子改变以及Ki-67和p53在人类胶质瘤中的表达的临床及预后意义
Cancer Manag Res. 2021 Nov 23;13:8755-8765. doi: 10.2147/CMAR.S336213. eCollection 2021.
5
Upregulated Expression of Cancer-Derived Immunoglobulin G Is Associated With Progression in Glioma.癌症衍生免疫球蛋白G的表达上调与胶质瘤进展相关。
Front Oncol. 2021 Oct 25;11:758856. doi: 10.3389/fonc.2021.758856. eCollection 2021.
6
Surveying brain tumor heterogeneity by single-cell RNA-sequencing of multi-sector biopsies.通过多区域活检的单细胞RNA测序来研究脑肿瘤异质性。
Natl Sci Rev. 2020 Aug;7(8):1306-1318. doi: 10.1093/nsr/nwaa099. Epub 2020 May 30.
7
CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2014-2018.美国 2014-2018 年诊断的原发性脑和其他中枢神经系统肿瘤 CBTRUS 统计报告。
Neuro Oncol. 2021 Oct 5;23(12 Suppl 2):iii1-iii105. doi: 10.1093/neuonc/noab200.
8
Clinical and therapeutic relevance of cancer-associated fibroblasts.癌症相关成纤维细胞的临床和治疗相关性。
Nat Rev Clin Oncol. 2021 Dec;18(12):792-804. doi: 10.1038/s41571-021-00546-5. Epub 2021 Sep 6.
9
The 2021 WHO Classification of Tumors of the Central Nervous System: a summary.2021 年世卫组织中枢神经系统肿瘤分类:概述。
Neuro Oncol. 2021 Aug 2;23(8):1231-1251. doi: 10.1093/neuonc/noab106.
10
Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients.中国脑胶质瘤基因组图谱(CGGA):来自中国脑胶质瘤患者的功能基因组数据的综合资源。
Genomics Proteomics Bioinformatics. 2021 Feb;19(1):1-12. doi: 10.1016/j.gpb.2020.10.005. Epub 2021 Mar 2.