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胶质瘤诊断、治疗及预后中的潜在生物标志物与挑战

Potential biomarkers and challenges in glioma diagnosis, therapy and prognosis.

作者信息

Kan Liyen Katrina, Drummond Kate, Hunn Martin, Williams David, O'Brien Terence J, Monif Mastura

机构信息

Department of Neuroscience, Monash University Faculty of Medicine, Nursing and Health Sciences, Melbourne, Victoria, Australia.

Department of Physiology, The University of Melbourne, Melbourne, Victoria, Australia.

出版信息

BMJ Neurol Open. 2020 Aug 24;2(2):e000069. doi: 10.1136/bmjno-2020-000069. eCollection 2020.

DOI:10.1136/bmjno-2020-000069
PMID:33681797
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7871709/
Abstract

Gliomas are the most common central nervous system malignancies and present with significant morbidity and mortality. Treatment modalities are currently limited to surgical resection, chemotherapy and radiotherapy. Increases in survival rate over the previous decades are negligible, further pinpointing an unmet clinical need in this field. There is a continual struggle with the development of effective glioma diagnostics and therapeutics, largely due to a multitude of factors, including the presence of the blood-brain barrier and significant intertumoural and intratumoural heterogeneity. Importantly, there is a lack of reliable biomarkers for glioma, particularly in aiding tumour subtyping and measuring response to therapy. There is a need for biomarkers that would both overcome the complexity of the disease and allow for a minimally invasive means of detection and analysis. This is a comprehensive review evaluating the potential of current cellular, proteomic and molecular biomarker candidates for glioma. Significant hurdles faced in glioma diagnostics and therapy are also discussed here.

摘要

胶质瘤是最常见的中枢神经系统恶性肿瘤,具有较高的发病率和死亡率。目前的治疗方式仅限于手术切除、化疗和放疗。与过去几十年相比,生存率的提高微乎其微,这进一步凸显了该领域尚未满足的临床需求。在有效胶质瘤诊断和治疗方法的开发方面一直存在困难,这主要是由于多种因素,包括血脑屏障的存在以及肿瘤间和肿瘤内的显著异质性。重要的是,缺乏可靠的胶质瘤生物标志物,尤其是在辅助肿瘤亚型分类和评估治疗反应方面。需要能够克服疾病复杂性并允许采用微创检测和分析方法的生物标志物。这是一篇全面的综述,评估了当前胶质瘤细胞、蛋白质组学和分子生物标志物候选物的潜力。本文还讨论了胶质瘤诊断和治疗中面临的重大障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d576/7871709/8abca1d74cbf/bmjno-2020-000069f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d576/7871709/8abca1d74cbf/bmjno-2020-000069f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d576/7871709/8abca1d74cbf/bmjno-2020-000069f01.jpg

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Front Oncol. 2019 Aug 22;9:806. doi: 10.3389/fonc.2019.00806. eCollection 2019.
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Cell-derived extracellular vesicles can be used as a biomarker reservoir for glioblastoma tumor subtyping.细胞衍生的细胞外囊泡可用作胶质母细胞瘤肿瘤亚分型的生物标志物库。
Commun Biol. 2019 Aug 19;2:315. doi: 10.1038/s42003-019-0560-x. eCollection 2019.
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Evaluation of serum extracellular vesicles as noninvasive diagnostic markers of glioma.
胶质瘤中的基质金属蛋白酶:侵袭驱动因素与治疗靶点
BioTech (Basel). 2025 Apr 15;14(2):28. doi: 10.3390/biotech14020028.
4
Increased nuclear expression of DNA damage inducible transcript 4 can serve as a potential prognostic biomarker in patients with gliomas: a study based on data mining and experimental tools.DNA损伤诱导转录本4的核表达增加可作为胶质瘤患者潜在的预后生物标志物:一项基于数据挖掘和实验工具的研究
Discov Oncol. 2025 Feb 6;16(1):124. doi: 10.1007/s12672-025-01865-0.
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Development of a prognostic model related to homologous recombination deficiency in glioma based on multiple machine learning.基于多种机器学习方法的胶质瘤同源重组缺陷相关预后模型的建立。
Front Immunol. 2024 Oct 7;15:1452097. doi: 10.3389/fimmu.2024.1452097. eCollection 2024.
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Sci Rep. 2024 Jul 26;14(1):17195. doi: 10.1038/s41598-024-68291-0.
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