Dwianingsih, Ery Kus and Hartanto, Rachmat Andi and Safitri, Sekar and Krisnugraha, Yeshua Putra and Sianipar, Christina Megawimanti and Basuki, Endro and Dananjoyo, Kusumo and Asmedi, Ahmad and Sun, Bo and Malueka, Rusdy Ghazali (2024) Analysis of Circulating Plasma MicroRNA Profile in Low-Grade and High-Grade Glioma – A Cross-Sectional Study. F1000Research, 13. pp. 1-17. ISSN 20461402
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Abstract
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. Copyright: © 2024 Dwianingsih EK et al.
Item Type: | Article |
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Additional Information: | Cited by: 0; All Open Access, Gold Open Access, Green Open Access |
Uncontrolled Keywords: | Adult; Aged; Biomarkers, Tumor; Brain Neoplasms; Case-Control Studies; Circulating MicroRNA; Cross-Sectional Studies; Female; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Glioma; Humans; Male; MicroRNAs; Middle Aged; Neoplasm Grading; biological marker; edetic acid; messenger RNA; microRNA; circulating microRNA; microRNA; tumor marker; apoptosis; area under the curve; Article; astrocytoma; bioinformatics; brain tumor; clinical article; cognitive defect; cross-sectional study; false discovery rate; female; glioblastoma; glioma; histopathology; human; human tissue; male; plasma; receiver operating characteristic; retrospective study; RNA extraction; RNA isolation; adult; aged; blood; brain tumor; cancer grading; case control study; gene expression profiling; gene expression regulation; genetics; middle aged; pathology |
Subjects: | R Medicine > RN Non Surgical Divisions |
Divisions: | Faculty of Medicine, Public Health and Nursing > Non Surgical Divisions |
Depositing User: | Ngesti Gandini |
Date Deposited: | 05 Jun 2025 07:27 |
Last Modified: | 05 Jun 2025 07:27 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/18839 |