• 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

抗血管生成治疗反应与胶质母细胞瘤和低级别胶质瘤中AIMP蛋白家族表达相关。

Response to Antiangiogenic Therapy Is Associated with AIMP Protein Family Expression in Glioblastoma and Lower-Grade Gliomas.

作者信息

Noor Humaira, Zheng Yuanning, Itakura Haruka, Gevaert Olivier

机构信息

Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, California.

Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, California.

出版信息

Cancer Res Commun. 2025 Sep 1;5(9):1651-1663. doi: 10.1158/2767-9764.CRC-25-0170.

DOI:10.1158/2767-9764.CRC-25-0170
PMID:40874786
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12438089/
Abstract

UNLABELLED

Glioblastoma (GBM) is a highly vascularized, heterogeneous tumor, yet antiangiogenic therapies have yielded limited survival benefits. The lack of validated predictive biomarkers for treatment response stratification remains a major challenge. Aminoacyl tRNA synthetase complex-interacting multicomplex proteins (AIMP) 1/2/3 have been implicated in central nervous system diseases, but their roles in gliomas remain unexplored. We investigated their association with angiogenesis and their significance as predictive biomarkers for antiangiogenic treatment response. In this multi-cohort retrospective study, we analyzed glioma samples from The Cancer Genome Atlas, Chinese Glioma Genome Atlas, REMBRANDT, Gravendeel, BELOB, and REGOMA trials, and four single-cell transcriptomic datasets. Multiomic analyses incorporated transcriptomic, epigenetic, and proteomic data. Kaplan-Meier and Cox proportional hazards models were used to assess the potential prognostic value of AIMPs in heterogeneous and homogeneous treatment groups. Using single-cell transcriptomics, we explored spatial and cell type-specific AIMP2 expression in GBM. AIMP1/2/3 expressions correlated significantly with angiogenesis across The Cancer Genome Atlas cancers. In gliomas, AIMPs were upregulated in tumor versus normal tissues, higher- versus lower-grade gliomas, and recurrent versus primary tumors (P < 0.05). Upon retrospective analysis of two clinical trials assessing different antiangiogenic drugs, we found that high-AIMP2 subgroups had improved response to therapies in GBM [REGOMA: HR, 4.75 (1.96-11.5), P < 0.001; BELOB: HR, 2.3 (1.17-4.49), P = 0.015]. AIMP2-cg04317940methylation emerged as a clinically applicable stratification marker. Single-cell analysis revealed homogeneous AIMP2 expression in tumor tissues, particularly in astrocyte-like cells, suggesting a mechanistic link to tumor angiogenesis. These findings provide novel insights into the role of AIMPs in angiogenesis, offering improved patient stratification and therapeutic outcomes in recurrent GBM.

SIGNIFICANCE

This study identifies AIMP2 as a novel biomarker predictive of antiangiogenic treatment response in recurrent GBM. Through multiomic and single-cell analyses, AIMP2 is shown to be upregulated in aggressive gliomas and linked to angiogenesis. Its expression and methylation status offer a clinically applicable stratification tool, enabling more personalized therapeutic approaches and improved outcomes in patients receiving antiangiogenic therapies.

摘要

未标记

胶质母细胞瘤(GBM)是一种血管高度丰富的异质性肿瘤,但抗血管生成疗法带来的生存获益有限。缺乏用于治疗反应分层的经过验证的预测生物标志物仍然是一个重大挑战。氨酰tRNA合成酶复合物相互作用多复合物蛋白(AIMP)1/2/3与中枢神经系统疾病有关,但其在胶质瘤中的作用仍未得到探索。我们研究了它们与血管生成的关联以及作为抗血管生成治疗反应预测生物标志物的意义。在这项多队列回顾性研究中,我们分析了来自癌症基因组图谱(The Cancer Genome Atlas)、中国胶质瘤基因组图谱(Chinese Glioma Genome Atlas)、REMBRANDT、Gravendeel、BELOB和REGOMA试验的胶质瘤样本,以及四个单细胞转录组数据集。多组学分析纳入了转录组、表观遗传和蛋白质组数据。使用Kaplan-Meier和Cox比例风险模型评估AIMPs在异质性和同质性治疗组中的潜在预后价值。通过单细胞转录组学,我们探索了GBM中AIMP2的空间和细胞类型特异性表达。在癌症基因组图谱中的各种癌症中,AIMP1/2/3的表达与血管生成显著相关。在胶质瘤中,与正常组织相比、高级别与低级别胶质瘤相比、复发与原发性肿瘤相比,AIMPs在肿瘤组织中上调(P < 0.05)。在对两项评估不同抗血管生成药物的临床试验进行回顾性分析时,我们发现高AIMP2亚组在GBM中对治疗的反应有所改善[REGOMA:风险比(HR),4.75(1.96 - 11.5),P < 0.001;BELOB:HR,2.3(1.17 - 4.49),P = 0.015]。AIMP2-cg04317940甲基化成为一种临床适用的分层标志物。单细胞分析显示肿瘤组织中AIMP2表达均匀,特别是在星形胶质细胞样细胞中,这表明与肿瘤血管生成存在机制上的联系。这些发现为AIMPs在血管生成中的作用提供了新的见解,有望改善复发性GBM患者的分层和治疗效果。

意义

本研究确定AIMP2是复发性GBM中抗血管生成治疗反应的一种新型生物标志物。通过多组学和单细胞分析,表明AIMP2在侵袭性胶质瘤中上调并与血管生成相关。其表达和甲基化状态提供了一种临床适用的分层工具,能够在接受抗血管生成治疗的患者中实现更个性化的治疗方法并改善治疗效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c312/12438089/072bf3463abe/crc-25-0170_f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c312/12438089/eb7ad267b15d/crc-25-0170_f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c312/12438089/82c9dfe5b93c/crc-25-0170_f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c312/12438089/e40904669ceb/crc-25-0170_f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c312/12438089/d8bf8dc27c91/crc-25-0170_f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c312/12438089/f74d6a71cf3a/crc-25-0170_f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c312/12438089/072bf3463abe/crc-25-0170_f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c312/12438089/eb7ad267b15d/crc-25-0170_f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c312/12438089/82c9dfe5b93c/crc-25-0170_f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c312/12438089/e40904669ceb/crc-25-0170_f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c312/12438089/d8bf8dc27c91/crc-25-0170_f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c312/12438089/f74d6a71cf3a/crc-25-0170_f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c312/12438089/072bf3463abe/crc-25-0170_f6.jpg

相似文献

1
Response to Antiangiogenic Therapy Is Associated with AIMP Protein Family Expression in Glioblastoma and Lower-Grade Gliomas.抗血管生成治疗反应与胶质母细胞瘤和低级别胶质瘤中AIMP蛋白家族表达相关。
Cancer Res Commun. 2025 Sep 1;5(9):1651-1663. doi: 10.1158/2767-9764.CRC-25-0170.
2
Response to anti-angiogenic therapy is affected by AIMP protein family activity in glioblastoma and lower-grade gliomas.胶质母细胞瘤和低级别胶质瘤中,抗血管生成治疗的反应受AIMP蛋白家族活性的影响。
bioRxiv. 2025 Mar 14:2025.03.13.643116. doi: 10.1101/2025.03.13.643116.
3
Antiangiogenic therapy for high-grade glioma.高级别胶质瘤的抗血管生成治疗
Cochrane Database Syst Rev. 2014 Sep 22(9):CD008218. doi: 10.1002/14651858.CD008218.pub3.
4
Systematic Analysis of an Immune-Related Gene Signature for Predicting Prognosis and Immune Characteristics in Primary Lower Grade Glioma.用于预测原发性低级别胶质瘤预后和免疫特征的免疫相关基因特征的系统分析
Biomed Res Int. 2025 Aug 12;2025:6180391. doi: 10.1155/bmri/6180391. eCollection 2025.
5
Autophagy-related CMTM6 promotes glioblastoma progression by activating Wnt/β-catenin pathway and acts as an onco-immunological biomarker.自噬相关的CMTM6 通过激活 Wnt/β-catenin 通路促进胶质母细胞瘤的进展,并作为一种癌免疫生物学标志物。
J Gene Med. 2024 May;26(5):e3685. doi: 10.1002/jgm.3685.
6
Immune intrinsic escape signature stratifies prognosis, characterizes the tumor immune microenvironment, and identifies tumorigenic PPP1R8 in glioblastoma multiforme patients.免疫内在逃逸特征可对多形性胶质母细胞瘤患者的预后进行分层,描绘肿瘤免疫微环境,并鉴定致瘤性PPP1R8。
Front Immunol. 2025 Aug 6;16:1577920. doi: 10.3389/fimmu.2025.1577920. eCollection 2025.
7
Expression of the IL-18-related gene PTX3 correlates with clinicopathological features and prognosis in glioma patients.白细胞介素-18相关基因PTX3的表达与胶质瘤患者的临床病理特征及预后相关。
PeerJ. 2025 Jul 10;13:e19675. doi: 10.7717/peerj.19675. eCollection 2025.
8
New insights for precision treatment of glioblastoma from analysis of single-cell lncRNA expression.从单细胞 lncRNA 表达分析中获得胶质母细胞瘤精准治疗的新见解。
J Cancer Res Clin Oncol. 2021 Jul;147(7):1881-1895. doi: 10.1007/s00432-021-03584-9. Epub 2021 Mar 11.
9
The effectiveness and cost-effectiveness of carmustine implants and temozolomide for the treatment of newly diagnosed high-grade glioma: a systematic review and economic evaluation.卡莫司汀植入剂与替莫唑胺治疗新诊断的高级别胶质瘤的有效性和成本效益:一项系统评价与经济学评估
Health Technol Assess. 2007 Nov;11(45):iii-iv, ix-221. doi: 10.3310/hta11450.
10
Systemic treatments for metastatic cutaneous melanoma.转移性皮肤黑色素瘤的全身治疗
Cochrane Database Syst Rev. 2018 Feb 6;2(2):CD011123. doi: 10.1002/14651858.CD011123.pub2.

本文引用的文献

1
Digital profiling of gene expression from histology images with linearized attention.线性注意力下基于组织学图像的基因表达数字分析。
Nat Commun. 2024 Nov 14;15(1):9886. doi: 10.1038/s41467-024-54182-5.
2
REGOMA-OSS: a large, Italian, multicenter, prospective, observational study evaluating the efficacy and safety of regorafenib in patients with recurrent glioblastoma.REGOMA-OSS:一项大型的、意大利的、多中心的、前瞻性的、观察性研究,评估regorafenib 在复发性胶质母细胞瘤患者中的疗效和安全性。
ESMO Open. 2024 Apr;9(4):102943. doi: 10.1016/j.esmoop.2024.102943. Epub 2024 Mar 15.
3
Pan-cancer Analysis Identifies AIMP2 as a Potential Biomarker for Breast Cancer.
泛癌分析确定AIMP2为乳腺癌的潜在生物标志物。
Curr Genomics. 2023 Dec 20;24(5):307-329. doi: 10.2174/0113892029255941231014142050.
4
Bevacizumab Alone and in Combination With Irinotecan in Recurrent Glioblastoma.贝伐单抗单药治疗及联合伊立替康治疗复发性胶质母细胞瘤。
J Clin Oncol. 2023 Nov 10;41(32):4945-4952. doi: 10.1200/JCO.22.02772.
5
EpiMix is an integrative tool for epigenomic subtyping using DNA methylation.EpiMix 是一种使用 DNA 甲基化进行表观基因组亚型分析的综合工具。
Cell Rep Methods. 2023 Jun 22;3(7):100515. doi: 10.1016/j.crmeth.2023.100515. eCollection 2023 Jul 24.
6
Spatial cellular architecture predicts prognosis in glioblastoma.空间细胞结构预测胶质母细胞瘤的预后。
Nat Commun. 2023 Jul 11;14(1):4122. doi: 10.1038/s41467-023-39933-0.
7
Shaping the brain vasculature in development and disease in the single-cell era.单细胞时代发育和疾病中脑脉管系统的形成。
Nat Rev Neurosci. 2023 May;24(5):271-298. doi: 10.1038/s41583-023-00684-y. Epub 2023 Mar 20.
8
Proteomic analysis predicts anti-angiogenic resistance in recurred glioblastoma.蛋白质组学分析预测复发性脑胶质瘤的抗血管生成耐药性。
J Transl Med. 2023 Feb 2;21(1):69. doi: 10.1186/s12967-023-03936-8.
9
Pharmacological inhibition of AIMP2 aggregation attenuates α-synuclein aggregation and toxicity in Parkinson's disease.药理学抑制 AIMP2 聚集可减轻帕金森病中 α-突触核蛋白的聚集和毒性。
Biomed Pharmacother. 2022 Dec;156:113908. doi: 10.1016/j.biopha.2022.113908. Epub 2022 Oct 22.
10
Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma.空间分辨多组学解析胶质母细胞瘤中肿瘤-宿主的双向相互依赖关系。
Cancer Cell. 2022 Jun 13;40(6):639-655.e13. doi: 10.1016/j.ccell.2022.05.009.