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基于细胞外囊泡的液体活检中 MGMT 甲基化的临床应用评价作为胶质母细胞瘤患者管理的工具。

Evaluation of the clinical use of MGMT methylation in extracellular vesicle-based liquid biopsy as a tool for glioblastoma patient management.

机构信息

Cancer Epigenetics Laboratory, INGEMM, La Paz University Hospital, Paseo La Castellana 261, Edificio Bloque Quirúrgico Planta-2, 28046, Madrid, Spain.

Biomarkers and Experimental Therapeutics in Cancer, IdiPAZ, Madrid, Spain.

出版信息

Sci Rep. 2024 May 18;14(1):11398. doi: 10.1038/s41598-024-62061-8.


DOI:10.1038/s41598-024-62061-8
PMID:38762534
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11102540/
Abstract

Glioblastoma (GB) is a devastating tumor of the central nervous system characterized by a poor prognosis. One of the best-established predictive biomarker in IDH-wildtype GB is O6-methylguanine-DNA methyltransferase (MGMT) methylation (mMGMT), which is associated with improved treatment response and survival. However, current efforts to monitor GB patients through mMGMT detection have proven unsuccessful. Small extracellular vesicles (sEVs) hold potential as a key element that could revolutionize clinical practice by offering new possibilities for liquid biopsy. This study aimed to determine the utility of sEV-based liquid biopsy as a predictive biomarker and disease monitoring tool in patients with IDH-wildtype GB. Our findings show consistent results with tissue-based analysis, achieving a remarkable sensitivity of 85.7% for detecting mMGMT in liquid biopsy, the highest reported to date. Moreover, we suggested that liquid biopsy assessment of sEV-DNA could be a powerful tool for monitoring disease progression in IDH-wildtype GB patients. This study highlights the critical significance of overcoming molecular underdetection, which can lead to missed treatment opportunities and misdiagnoses, possibly resulting in ineffective therapies. The outcomes of our research significantly contribute to the field of sEV-DNA-based liquid biopsy, providing valuable insights into tumor tissue heterogeneity and establishing it as a promising tool for detecting GB biomarkers. These results have substantial implications for advancing predictive and therapeutic approaches in the context of GB and warrant further exploration and validation in clinical settings.

摘要

胶质母细胞瘤(GB)是一种中枢神经系统的破坏性肿瘤,预后不良。在 IDH 野生型 GB 中,最成熟的预测生物标志物之一是 O6-甲基鸟嘌呤-DNA 甲基转移酶(MGMT)甲基化(mMGMT),它与改善治疗反应和生存相关。然而,目前通过 mMGMT 检测来监测 GB 患者的努力已经证明是不成功的。小细胞外囊泡(sEVs)作为一种关键元素具有潜力,可以通过为液体活检提供新的可能性来彻底改变临床实践。本研究旨在确定基于 sEV 的液体活检作为 IDH 野生型 GB 患者的预测生物标志物和疾病监测工具的效用。我们的研究结果与组织分析一致,在液体活检中检测 mMGMT 的灵敏度达到了惊人的 85.7%,这是迄今为止报道的最高水平。此外,我们建议液体活检评估 sEV-DNA 可能是监测 IDH 野生型 GB 患者疾病进展的有力工具。本研究强调了克服分子检测不足的重要性,这可能导致错失治疗机会和误诊,从而导致无效治疗。我们的研究结果对基于 sEV-DNA 的液体活检领域具有重要意义,为肿瘤组织异质性提供了有价值的见解,并确立了其作为检测 GB 生物标志物的有前途的工具。这些结果对推进 GB 背景下的预测和治疗方法具有重要意义,并值得在临床环境中进一步探索和验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e791/11102540/2b93bc497381/41598_2024_62061_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e791/11102540/80d52a52f6b4/41598_2024_62061_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e791/11102540/3318a404190c/41598_2024_62061_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e791/11102540/8a0e393b4b72/41598_2024_62061_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e791/11102540/2b93bc497381/41598_2024_62061_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e791/11102540/80d52a52f6b4/41598_2024_62061_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e791/11102540/3318a404190c/41598_2024_62061_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e791/11102540/8a0e393b4b72/41598_2024_62061_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e791/11102540/2b93bc497381/41598_2024_62061_Fig4_HTML.jpg

相似文献

[1]
Evaluation of the clinical use of MGMT methylation in extracellular vesicle-based liquid biopsy as a tool for glioblastoma patient management.

Sci Rep. 2024-5-18

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[4]
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[6]
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[7]
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[10]
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引用本文的文献

[1]
The Quest for Non-Invasive Diagnosis: A Review of Liquid Biopsy in Glioblastoma.

Cancers (Basel). 2025-8-19

[2]
Liquid biopsy - a narrative review with an update on current US governmental clinical trials targeting immunotherapy.

Future Sci OA. 2025-12

[3]
Liquid Biopsy-Derived Tumor Biomarkers for Clinical Applications in Glioblastoma.

Biomolecules. 2025-5-2

[4]
Liquid Biopsy as a Diagnostic and Monitoring Tool in Glioblastoma.

Medicina (Kaunas). 2025-4-13

[5]
The detection, biological function, and liquid biopsy application of extracellular vesicle-associated DNA.

Biomark Res. 2024-10-14

[6]
PDCD10 Is a Key Player in TMZ-Resistance and Tumor Cell Regrowth: Insights into Its Underlying Mechanism in Glioblastoma Cells.

Cells. 2024-8-28

[7]
Role of Extracellular Vesicles in the Progression of Brain Tumors.

Biology (Basel). 2024-8-2

本文引用的文献

[1]
MIBlood-EV: Minimal information to enhance the quality and reproducibility of blood extracellular vesicle research.

J Extracell Vesicles. 2023-12

[2]
Extracellular-Vesicle-Based Cancer Panels Diagnose Glioblastomas with High Sensitivity and Specificity.

Cancers (Basel). 2023-7-26

[3]
Exosomes as Novel Diagnostic Biomarkers and Therapeutic Tools in Gliomas.

Int J Mol Sci. 2023-6-15

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Effect of Extent of Resection on Survival of Patients with Glioblastoma, IDH-Wild-Type, WHO Grade 4 (WHO 2021): Systematic Review and Meta-Analysis.

World Neurosurg. 2023-3

[5]
ESMO recommendations on the use of circulating tumour DNA assays for patients with cancer: a report from the ESMO Precision Medicine Working Group.

Ann Oncol. 2022-8

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Definition of the Prognostic Role of MGMT Promoter Methylation Value by Pyrosequencing in Newly Diagnosed IDH Wild-Type Glioblastoma Patients Treated with Radiochemotherapy: A Large Multicenter Study.

Cancers (Basel). 2022-5-13

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Liquid biopsy in gliomas: A RANO review and proposals for clinical applications.

Neuro Oncol. 2022-6-1

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Longitudinal Bottom-Up Proteomics of Serum, Serum Extracellular Vesicles, and Cerebrospinal Fluid Reveals Candidate Biomarkers for Early Detection of Glioblastoma in a Murine Model.

Molecules. 2021-10-2

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Extent of resection and survival in patients with glioblastoma multiforme: Systematic review and meta-analysis.

Medicine (Baltimore). 2021-6-25

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