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本文引用的文献

1
Roles of HOTAIR Long Non-coding RNA in Gliomas and Other CNS Disorders.HOTAIR 长链非编码 RNA 在神经胶质瘤和其他中枢神经系统疾病中的作用。
Cell Mol Neurobiol. 2024 Feb 16;44(1):23. doi: 10.1007/s10571-024-01455-8.
2
Hyper-methylation of ABCG1 as an epigenetics biomarker in non-small cell lung cancer.ABCG1 高甲基化作为非小细胞肺癌的表观遗传学标志物。
Funct Integr Genomics. 2023 Jul 31;23(3):256. doi: 10.1007/s10142-023-01185-y.
3
HOTAIR in solid tumors: Emerging mechanisms and clinical strategies.固体肿瘤中的 HOTAIR:新兴机制与临床策略。
Biomed Pharmacother. 2022 Oct;154:113594. doi: 10.1016/j.biopha.2022.113594. Epub 2022 Aug 31.
4
Standard clinical approaches and emerging modalities for glioblastoma imaging.胶质母细胞瘤成像的标准临床方法和新兴模式
Neurooncol Adv. 2022 May 26;4(1):vdac080. doi: 10.1093/noajnl/vdac080. eCollection 2022 Jan-Dec.
5
Serum-derived extracellular vesicles facilitate temozolomide resistance in glioblastoma through a HOTAIR-dependent mechanism.血清来源的细胞外囊泡通过 HOTAIR 依赖的机制促进脑胶质母细胞瘤对替莫唑胺的耐药性。
Cell Death Dis. 2022 Apr 13;13(4):344. doi: 10.1038/s41419-022-04699-8.
6
HOXC11 positively regulates the long non-coding RNA HOTAIR and is associated with poor prognosis in colon adenocarcinoma.HOXC11正向调控长链非编码RNA HOTAIR,且与结肠腺癌的不良预后相关。
Exp Ther Med. 2021 Nov;22(5):1310. doi: 10.3892/etm.2021.10745. Epub 2021 Sep 16.
7
Construction and comprehensive analysis of a competitive endogenous RNA network to reveal potential biomarkers for the malignant differentiation of glioma.构建并综合分析竞争性内源 RNA 网络,揭示胶质瘤恶性分化的潜在标志物。
Medicine (Baltimore). 2021 Oct 1;100(39):e27248. doi: 10.1097/MD.0000000000027248.
8
Identifying GPSM Family Members as Potential Biomarkers in Breast Cancer: A Comprehensive Bioinformatics Analysis.鉴定GPSM家族成员作为乳腺癌潜在生物标志物:一项全面的生物信息学分析。
Biomedicines. 2021 Sep 3;9(9):1144. doi: 10.3390/biomedicines9091144.
9
Glioblastoma: clinical presentation, diagnosis, and management.胶质母细胞瘤:临床表现、诊断与治疗
BMJ. 2021 Jul 14;374:n1560. doi: 10.1136/bmj.n1560.
10
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.

长链非编码RNA HOTAIR作为多形性胶质母细胞瘤生物标志物的研究:当前证据的综合荟萃分析

HOTAIR expression as a biomarker in glioblastoma multiforme: a comprehensive meta-analysis of current evidence.

作者信息

Bahranian Arefeh, Koshki Mehdi, Farahmandi Fargol, Eftekharian Kourosh, Hemmati Samaneh, Sattari Mahboobe, Zali Alireza, Panahi Ghodratollah

机构信息

School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

出版信息

Biomark Med. 2025 Feb;19(4):129-137. doi: 10.1080/17520363.2025.2455925. Epub 2025 Jan 27.

DOI:10.1080/17520363.2025.2455925
PMID:39868624
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11834459/
Abstract

PURPOSE

Glioblastoma multiforme (GBM) is an aggressive brain tumor. This meta-analysis investigates the association between HOTAIR expression levels and GBM.

METHODS

We searched the literature for studies on HOTAIR expression in GBM patients. A meta-analysis of nine studies assessed standardized mean difference (SMD) and 95% confidence intervals (CIs) using a random-effects model. Subgroup analyses were performed based on sample source, country, and study design. Additionally, we conducted meta-regression and publication bias analyses.

RESULTS

The meta-analysis found a significant positive association between elevated HOTAIR expression and GBM (SMD = 8.3, 95% CI 5.8-10.8,  = 0.00). Considerable heterogeneity was observed (Q-value: 1174.2, df = 9, I = 99.2%,  = 0.00). Subgroup analyses indicated significant associations in tissue samples and studies from the USA and China. Meta-regression revealed that study design and country contributed to the observed heterogeneity, with no significant publication bias detected.

CONCLUSION

This analysis confirms the significant link between HOTAIR expression and GBM, highlighting HOTAIR as a potential therapeutic target and biomarker. Further research is necessary to clarify the biological mechanisms involved in this association.

摘要

目的

多形性胶质母细胞瘤(GBM)是一种侵袭性脑肿瘤。本荟萃分析旨在研究HOTAIR表达水平与GBM之间的关联。

方法

我们检索了关于GBM患者HOTAIR表达的研究文献。采用随机效应模型对9项研究进行荟萃分析,评估标准化均值差(SMD)和95%置信区间(CI)。根据样本来源、国家和研究设计进行亚组分析。此外,我们还进行了荟萃回归和发表偏倚分析。

结果

荟萃分析发现HOTAIR表达升高与GBM之间存在显著正相关(SMD = 8.3,95% CI 5.8 - 10.8,P = 0.00)。观察到相当大的异质性(Q值:1174.2,自由度 = 9,I² = 99.2%,P = 0.00)。亚组分析表明,在美国和中国的组织样本及研究中存在显著关联。荟萃回归显示,研究设计和国家导致了观察到的异质性,未检测到显著的发表偏倚。

结论

本分析证实了HOTAIR表达与GBM之间的显著联系,突出了HOTAIR作为潜在治疗靶点和生物标志物的地位。有必要进一步研究以阐明这种关联所涉及的生物学机制。