• 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

谷氨酰胺代谢相关基因预测弥漫性胶质瘤的预后并重塑肿瘤微环境免疫特征

Glutamine metabolism-related genes predict prognosis and reshape tumor microenvironment immune characteristics in diffuse gliomas.

作者信息

Fan Huanhuan, Zhang Shuxin, Yuan Yunbo, Chen Siliang, Li Wenhao, Wang Zhihao, Xiang Yufan, Li Junhong, Ma Xiaohong, Liu Yanhui

机构信息

Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.

West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.

出版信息

Front Neurol. 2023 Mar 10;14:1104738. doi: 10.3389/fneur.2023.1104738. eCollection 2023.

DOI:10.3389/fneur.2023.1104738
PMID:36970537
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10036600/
Abstract

BACKGROUND

Diffuse gliomas possess a kind of malignant brain tumor with high mortality. Glutamine represents the most abundant and versatile amino acid in the body. Glutamine not only plays an important role in cell metabolism but also involves in cell survival and malignancies progression. Recent studies indicate that glutamine could also affect the metabolism of immune cells in the tumor microenvironment (TME).

MATERIALS AND METHODS

The transcriptome data and clinicopathological information of patients with glioma were acquired from TCGA, CGGA, and West China Hospital (WCH). The glutamine metabolism-related genes (GMRGs) were retrieved from the Molecular Signature Database. Consensus clustering analysis was used to discover expression patterns of GMRGs, and glutamine metabolism risk scores (GMRSs) were established to model tumor aggressiveness-related GMRG expression signature. ESTIMATE and CIBERSORTx were applied to depict the TME immune landscape. The tumor immunological phenotype analysis and TIDE were utilized for predicting the therapeutic response of immunotherapy.

RESULTS

A total of 106 GMRGs were retrieved. Two distinct clusters were established by consensus clustering analysis, which showed a close association with the IDH mutational status of gliomas. In both IDH-mutant and IDH-wildtype gliomas, cluster 2 had significantly shorter overall survival compared with cluster 1, and the differentially expressed genes between the two clusters enriched in pathways related to malignant transformation as well as immunity. TME analysis of the two IDH subtypes revealed not only significantly different immune cell infiltrations and immune phenotypes between the GMRG expression clusters but also different predicted responses to immunotherapy. After the screening, a total of 10 GMRGs were selected to build the GMRS. Survival analysis demonstrated the independent prognostic role of GMRS. Prognostic nomograms were established to predict 1-, 2-, and 3-year survival rates in the four cohorts.

CONCLUSION

Different subtypes of glutamine metabolism could affect the aggressiveness and TME immune features of diffuse glioma, despite their IDH mutational status. The expression signature of GMRGs could not only predict the outcome of patients with glioma but also be combined into an accurate prognostic nomogram.

摘要

背景

弥漫性胶质瘤是一种死亡率很高的恶性脑肿瘤。谷氨酰胺是人体内含量最丰富、功能最多样的氨基酸。谷氨酰胺不仅在细胞代谢中起重要作用,还参与细胞存活和恶性肿瘤进展。最近的研究表明,谷氨酰胺还可能影响肿瘤微环境(TME)中免疫细胞的代谢。

材料与方法

从TCGA、CGGA和华西医院(WCH)获取胶质瘤患者的转录组数据和临床病理信息。从分子特征数据库中检索谷氨酰胺代谢相关基因(GMRG)。采用一致性聚类分析来发现GMRG的表达模式,并建立谷氨酰胺代谢风险评分(GMRS)以模拟与肿瘤侵袭性相关的GMRG表达特征。应用ESTIMATE和CIBERSORTx来描绘TME免疫格局。利用肿瘤免疫表型分析和TIDE来预测免疫治疗的疗效。

结果

共检索到106个GMRG。通过一致性聚类分析建立了两个不同的聚类,它们与胶质瘤的异柠檬酸脱氢酶(IDH)突变状态密切相关。在IDH突变型和IDH野生型胶质瘤中,聚类2的总生存期均显著短于聚类1,且两个聚类之间的差异表达基因富集于与恶性转化以及免疫相关的通路。对两种IDH亚型的TME分析不仅揭示了GMRG表达聚类之间免疫细胞浸润和免疫表型的显著差异,还揭示了对免疫治疗的不同预测反应。经过筛选,共选择了10个GMRG来构建GMRS。生存分析证明了GMRS的独立预后作用。建立了预后列线图以预测四个队列中1年, 2年和3年生存率。

结论

尽管弥漫性胶质瘤存在IDH突变状态,但不同亚型的谷氨酰胺代谢可能影响其侵袭性和TME免疫特征。GMRG的表达特征不仅可以预测胶质瘤患者的预后,还可以整合到一个准确的预后列线图中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/423732619ed4/fneur-14-1104738-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/7ca509d708f5/fneur-14-1104738-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/f3e2a762a447/fneur-14-1104738-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/aaf24b8e9779/fneur-14-1104738-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/303160e5b3f1/fneur-14-1104738-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/2eea80439d98/fneur-14-1104738-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/a1ef1c7c1d58/fneur-14-1104738-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/423732619ed4/fneur-14-1104738-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/7ca509d708f5/fneur-14-1104738-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/f3e2a762a447/fneur-14-1104738-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/aaf24b8e9779/fneur-14-1104738-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/303160e5b3f1/fneur-14-1104738-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/2eea80439d98/fneur-14-1104738-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/a1ef1c7c1d58/fneur-14-1104738-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bb/10036600/423732619ed4/fneur-14-1104738-g0007.jpg

相似文献

1
Glutamine metabolism-related genes predict prognosis and reshape tumor microenvironment immune characteristics in diffuse gliomas.谷氨酰胺代谢相关基因预测弥漫性胶质瘤的预后并重塑肿瘤微环境免疫特征
Front Neurol. 2023 Mar 10;14:1104738. doi: 10.3389/fneur.2023.1104738. eCollection 2023.
2
Lipid metabolism-related gene signature predicts prognosis and depicts tumor microenvironment immune landscape in gliomas.脂质代谢相关基因特征可预测胶质瘤的预后,并描绘肿瘤微环境免疫图谱。
Front Immunol. 2023 Feb 13;14:1021678. doi: 10.3389/fimmu.2023.1021678. eCollection 2023.
3
Impact of redox-related genes on tumor microenvironment immune characteristics and prognosis of high-grade gliomas.氧化还原相关基因对高级别胶质瘤肿瘤微环境免疫特征及预后的影响
Front Cell Neurosci. 2023 May 12;17:1155982. doi: 10.3389/fncel.2023.1155982. eCollection 2023.
4
Prognosis prediction and tumor immune microenvironment characterization based on tryptophan metabolism-related genes signature in brain glioma.基于色氨酸代谢相关基因特征的脑胶质瘤预后预测及肿瘤免疫微环境特征分析
Front Pharmacol. 2022 Nov 1;13:1061597. doi: 10.3389/fphar.2022.1061597. eCollection 2022.
5
Immune cell gene expression signatures in diffuse glioma are associated with IDH mutation status, patient outcome and malignant cell state, and highlight the importance of specific cell subsets in glioma biology.弥漫性神经胶质瘤中的免疫细胞基因表达特征与 IDH 突变状态、患者预后和恶性细胞状态相关,并强调了特定细胞亚群在神经胶质瘤生物学中的重要性。
Acta Neuropathol Commun. 2022 Feb 10;10(1):19. doi: 10.1186/s40478-022-01323-w.
6
Identification of tryptophan metabolic gene-related subtypes, development of prognostic models, and characterization of tumor microenvironment infiltration in gliomas.胶质瘤中色氨酸代谢基因相关亚型的鉴定、预后模型的建立及肿瘤微环境浸润特征分析
Front Mol Neurosci. 2022 Nov 4;15:1037835. doi: 10.3389/fnmol.2022.1037835. eCollection 2022.
7
PYCR1 regulates glutamine metabolism to construct an immunosuppressive microenvironment for the progression of clear cell renal cell carcinoma.PYCR1通过调节谷氨酰胺代谢,为透明细胞肾细胞癌的进展构建免疫抑制微环境。
Am J Cancer Res. 2022 Aug 15;12(8):3780-3798. eCollection 2022.
8
Prognostic value of lactate metabolism-related gene expression signature in adult primary gliomas and its impact on the tumor immune microenvironment.乳酸代谢相关基因表达特征在成人原发性胶质瘤中的预后价值及其对肿瘤免疫微环境的影响。
Front Oncol. 2022 Sep 20;12:1008219. doi: 10.3389/fonc.2022.1008219. eCollection 2022.
9
Identification of cuproptosis-related subtypes, construction of a prognosis model, and tumor microenvironment landscape in gastric cancer.鉴定胃癌中与铜死亡相关的亚型,构建预后模型和肿瘤微环境景观。
Front Immunol. 2022 Nov 21;13:1056932. doi: 10.3389/fimmu.2022.1056932. eCollection 2022.
10
Purine metabolism-related gene expression signature predicts survival outcome and indicates immune microenvironment profile of gliomas.嘌呤代谢相关基因表达特征预测胶质瘤的生存结果并指示其免疫微环境概况。
Front Pharmacol. 2022 Nov 10;13:1038272. doi: 10.3389/fphar.2022.1038272. eCollection 2022.

本文引用的文献

1
Harnessing Metabolic Reprogramming to Improve Cancer Immunotherapy.利用代谢重编程来改善癌症免疫疗法。
Int J Mol Sci. 2021 Sep 24;22(19):10268. doi: 10.3390/ijms221910268.
2
Correlation Between Prognostic Biomarker and Immune Infiltrates in Various Types of Cancers Including Hepatocellular Carcinoma.包括肝细胞癌在内的各类癌症中预后生物标志物与免疫浸润的相关性
Front Oncol. 2021 Jul 22;11:608641. doi: 10.3389/fonc.2021.608641. eCollection 2021.
3
Identification of SLC38A7 as a Prognostic Marker and Potential Therapeutic Target of Lung Squamous Cell Carcinoma.
鉴定 SLC38A7 为肺鳞癌的预后标志物和潜在治疗靶点。
Ann Surg. 2021 Sep 1;274(3):500-507. doi: 10.1097/SLA.0000000000005001.
4
Enhancing the Efficacy of Glutamine Metabolism Inhibitors in Cancer Therapy.增强谷氨酰胺代谢抑制剂在癌症治疗中的疗效。
Trends Cancer. 2021 Aug;7(8):790-804. doi: 10.1016/j.trecan.2021.04.003. Epub 2021 May 18.
5
Glutaminolysis dynamics during astrocytoma progression correlates with tumor aggressiveness.星形细胞瘤进展过程中的谷氨酰胺分解动力学与肿瘤侵袭性相关。
Cancer Metab. 2021 Apr 28;9(1):18. doi: 10.1186/s40170-021-00255-8.
6
Turning cold tumors into hot tumors by improving T-cell infiltration.通过改善T细胞浸润将冷肿瘤转变为热肿瘤。
Theranostics. 2021 Mar 11;11(11):5365-5386. doi: 10.7150/thno.58390. eCollection 2021.
7
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.
8
Diffuse Glioma Heterogeneity and Its Therapeutic Implications.弥漫性胶质瘤的异质性及其治疗意义。
Cancer Discov. 2021 Mar;11(3):575-590. doi: 10.1158/2159-8290.CD-20-1474. Epub 2021 Feb 8.
9
The cancer metabolic reprogramming and immune response.癌症代谢重编程与免疫应答。
Mol Cancer. 2021 Feb 5;20(1):28. doi: 10.1186/s12943-021-01316-8.
10
Tumor immunological phenotype signature-based high-throughput screening for the discovery of combination immunotherapy compounds.基于肿瘤免疫表型特征的高通量筛选以发现联合免疫治疗化合物。
Sci Adv. 2021 Jan 22;7(4). doi: 10.1126/sciadv.abd7851. Print 2021 Jan.