Analysis of Circulating Plasma MicroRNA Profile in Low-Grade and High-Grade Glioma – A Cross-Sectional Study [version 1; peer review: 2 approved, 1 approved with reservations, 1 not approved]
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...
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F1000 Research Ltd
2024-11-01
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| Online Access: | https://f1000research.com/articles/13-1361/v1 |
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| author | Sekar Safitri Rachmat Andi Hartanto Rusdy Ghazali Malueka Bo Sun Ery Kus Dwianingsih Kusumo Dananjoyo Ahmad Asmedi Endro Basuki Christina Megawimanti Sianipar Yeshua Putra Krisnugraha |
| author_facet | Sekar Safitri Rachmat Andi Hartanto Rusdy Ghazali Malueka Bo Sun Ery Kus Dwianingsih Kusumo Dananjoyo Ahmad Asmedi Endro Basuki Christina Megawimanti Sianipar Yeshua Putra Krisnugraha |
| author_sort | Sekar Safitri |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-cb958b122b284cf7af12fd93f605bc1a |
| institution | Kabale University |
| issn | 2046-1402 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
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| spelling | doaj-art-cb958b122b284cf7af12fd93f605bc1a2025-01-12T01:00:01ZengF1000 Research LtdF1000Research2046-14022024-11-0113168661Analysis of Circulating Plasma MicroRNA Profile in Low-Grade and High-Grade Glioma – A Cross-Sectional Study [version 1; peer review: 2 approved, 1 approved with reservations, 1 not approved]Sekar Safitri0https://orcid.org/0000-0001-6835-0638Rachmat Andi Hartanto1Rusdy Ghazali Malueka2https://orcid.org/0000-0001-6835-0638Bo Sun3Ery Kus Dwianingsih4https://orcid.org/0000-0002-0484-7773Kusumo Dananjoyo5Ahmad Asmedi6Endro Basuki7Christina Megawimanti Sianipar8Yeshua Putra Krisnugraha9Department of Neurology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Dr. Sardjito General Hospital, Special Region of Yogyakarta, 55281, IndonesiaDivision of Neurosurgery, Department of Surgery, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Dr. Sardjito General Hospital, Special Region of Yogyakarta, 55281, IndonesiaDepartment of Neurology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Dr. Sardjito General Hospital, Special Region of Yogyakarta, 55281, IndonesiaNuffield Department of Clinical Neuroscience, University of Oxford, Oxford, England, OX3 7BN, UKDepartment of Anatomical Pathology, Faculty of Medicine, Universitas Gadjah Mada, Dr. Sardjito General Hospital, Special Region of Yogyakarta, 55281, IndonesiaDepartment of Neurology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Dr. Sardjito General Hospital, Special Region of Yogyakarta, 55281, IndonesiaDepartment of Neurology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Dr. Sardjito General Hospital, Special Region of Yogyakarta, 55281, IndonesiaDivision of Neurosurgery, Department of Surgery, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Dr. Sardjito General Hospital, Special Region of Yogyakarta, 55281, IndonesiaDepartment of Neurology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Dr. Sardjito General Hospital, Special Region of Yogyakarta, 55281, IndonesiaDepartment of Neurology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Dr. Sardjito General Hospital, Special Region of Yogyakarta, 55281, IndonesiaBackground 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.https://f1000research.com/articles/13-1361/v1 Glioma; grade; circulating miRNA; blood plasma; NanoString; biomarkereng |
| spellingShingle | Sekar Safitri Rachmat Andi Hartanto Rusdy Ghazali Malueka Bo Sun Ery Kus Dwianingsih Kusumo Dananjoyo Ahmad Asmedi Endro Basuki Christina Megawimanti Sianipar Yeshua Putra Krisnugraha Analysis of Circulating Plasma MicroRNA Profile in Low-Grade and High-Grade Glioma – A Cross-Sectional Study [version 1; peer review: 2 approved, 1 approved with reservations, 1 not approved] F1000Research Glioma; grade; circulating miRNA; blood plasma; NanoString; biomarker eng |
| title | Analysis of Circulating Plasma MicroRNA Profile in Low-Grade and High-Grade Glioma – A Cross-Sectional Study [version 1; peer review: 2 approved, 1 approved with reservations, 1 not approved] |
| title_full | Analysis of Circulating Plasma MicroRNA Profile in Low-Grade and High-Grade Glioma – A Cross-Sectional Study [version 1; peer review: 2 approved, 1 approved with reservations, 1 not approved] |
| title_fullStr | Analysis of Circulating Plasma MicroRNA Profile in Low-Grade and High-Grade Glioma – A Cross-Sectional Study [version 1; peer review: 2 approved, 1 approved with reservations, 1 not approved] |
| title_full_unstemmed | Analysis of Circulating Plasma MicroRNA Profile in Low-Grade and High-Grade Glioma – A Cross-Sectional Study [version 1; peer review: 2 approved, 1 approved with reservations, 1 not approved] |
| title_short | Analysis of Circulating Plasma MicroRNA Profile in Low-Grade and High-Grade Glioma – A Cross-Sectional Study [version 1; peer review: 2 approved, 1 approved with reservations, 1 not approved] |
| title_sort | analysis of circulating plasma microrna profile in low grade and high grade glioma a cross sectional study version 1 peer review 2 approved 1 approved with reservations 1 not approved |
| topic | Glioma; grade; circulating miRNA; blood plasma; NanoString; biomarker eng |
| url | https://f1000research.com/articles/13-1361/v1 |
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