低级别和高级别胶质瘤循环血浆MicroRNA谱分析-横断面研究。

Q2 Pharmacology, Toxicology and Pharmaceutics

F1000Research Pub Date : 2024-11-13 eCollection Date: 2024-01-01 DOI:10.12688/f1000research.153731.1

Ery Kus Dwianingsih, Rachmat Andi Hartanto, Sekar Safitri, Yeshua Putra Krisnugraha, Christina Megawimanti Sianipar, Endro Basuki, Kusumo Dananjoyo, Ahmad Asmedi, Bo Sun, Rusdy Ghazali Malueka

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引用次数: 0

摘要

背景：胶质瘤是第二常见的脑肿瘤类型，占所有脑肿瘤病例的24%。目前的诊断程序是通过侵入性组织取样来获得组织病理学分析，然而，并不是所有的患者都能够接受高风险的程序。由于其敏感性、特异性和非侵入性，循环microRNAs （miRNAs）被认为是神经胶质瘤的有前途的生物标志物。目前还没有明确的miRNA谱有助于确定胶质瘤的等级。本研究旨在寻找“是否存在能够区分胶质瘤不同级别的显著miRNA”的答案。方法：本研究比较低级别胶质瘤（LGG）和高级别胶质瘤（HGG）中mirna的表达。采用NanoString nCounter human v3 miRNA表达分析技术，对18例胶质瘤患者和6名健康对照者的血浆样本进行798个人miRNA表达谱分析。然后分析miRNA的差异表达，以确定LGG和HGG之间miRNA表达的差异。结果：分析显示LGG和HGG之间有12个mirna表达显著，且均下调。在这些重要的mirna中，miR-518b、miR-1271-3p和miR-598-3p在区分HGG和LGG方面表现出最高的潜力，曲线下面积（AUC）分别为0.912、0.889和0.991。结论：miR-518b、miR-1271-3p和miR-598-3p在鉴别LGG和HGG方面具有显著潜力。

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Analysis of Circulating Plasma MicroRNA Profile in Low-Grade and High-Grade Glioma - A Cross-Sectional Study.

Background: Glioma is the second most common type of brain tumor, accounting for 24% of all brain tumor cases. The current diagnostic procedure is through an invasive tissue sampling to obtain histopathological analysis, however, not all patients are able to undergo a high-risk procedure. Circulating microRNAs (miRNAs) are considered as promising biomarkers for glioma due to their sensitivity, specificity, and non-invasive properties. There is currently no defined miRNA profile that contributes to determining the grade of glioma. This study aims to find the answer for "Is there any significant miRNA that able to distinguish different grades of glioma?".

Methods: This study was conducted to compare the expression of miRNAs between low-grade glioma (LGG) and high-grade glioma (HGG). Eighteen blood plasma samples from glioma patients and 6 healthy controls were analyzed for 798 human miRNA profiles using NanoString nCounter Human v3 miRNA Expression Assay. The differential expressions of miRNAs were then analyzed to identify the differences in miRNA expression between LGG and HGG.

Results: Analyses showed significant expressions in 12 miRNAs between LGG and HGG, where all of them were downregulated. Out of these significant miRNAs, miR-518b, miR-1271-3p, and miR-598-3p showed the highest potential for distinguishing HGG from LGG, with area under curve (AUC) values of 0.912, 0.889, and 0.991, respectively.

Conclusion: miR-518b, miR-1271-3p, and miR-598-3p demonstrate significant potentials in distinguishing LGG and HGG.

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来源期刊

F1000Research Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)

CiteScore

5.00

自引率

0.00%

发文量

1646

审稿时长

1 weeks

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