miR-497 and 219 in blood aid meningioma classification.

Abstract

INTRODUCTION:

The current WHO classification and methylation status help predict meningioma recurrence and prognosis. However, up to date, there is no circulating biomarker showing clinical value in meningioma diagnosis or classification. Circulating miRNAs showed the potential to be used as cancer biomarkers in various tumours. This research evaluated specific miRNAs, miR-497 and miR-219, as convenient and efficient predictors of meningioma grades.

METHODS:

We studied serum and exosomal levels of miR-497 in 74 meningioma samples (WHO grade I = 25, WHO grade II = 25, and WHO grade III = 24) and 53 healthy controls. The serum level of miR-219 was studied in 56 meningioma samples WHO grade I = 22, WHO grade II = 14, and WHO grade III = 20). We used qPCR for miRNA quantification. We also tested two different normalisers, endogenous and external, and evaluated their impact on the diagnostic value of miR-497.

RESULTS:

The serum and exosomal levels of miR-497 distinguished meningioma from the control samples. Moreover, miR-497 was a suitable identifier for meningioma grade. When we combined miR-497 and miR-219, the efficacy of the combined biomarker was higher than miR-497 or miR-219 when used individually in meningioma classification. Both miR-497 and miR-219 showed a noticeable change with the methylation class of meningioma.

CONCLUSION:

This study shows that serum miR-497 is an effective and easy-to-measure biomarker for meningioma diagnosis and classification. Moreover, when we combined miR-497 and miR-219, the combined biomarker showed enhanced accuracy in meningioma classification. Furthermore, this is the first study to evaluate the correlation between serum circulating miRNA and the methylation status in meningioma.

• Authors: Ahmed Abdelrahman, Caterina Negroni, Felix Sahm, Claire L Adams, Tadeja Urbanic-Purkart, Michael Khalil, Raffaellla Vergura, Cristina Morelli, Clemens Oliver Hanemann
• Journal: Journal of neuro-oncology (J Neurooncol) Vol. 160 Issue 1 Pg. 137-147 (Oct 2022) ISSN: 1573-7373 [Electronic] United States
• PMID: 36076132 (Publication Type: Journal Article)
• Copyright: © 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Chemical References

• MicroRNAs
• Biomarkers, Tumor
• MIRN219 microRNA, human
• MIRN497 microRNA, human

Topics

• Humans
• Meningioma (diagnosis, genetics, pathology)
• MicroRNAs (genetics)
• Biomarkers, Tumor (genetics)
• Prognosis
• Meningeal Neoplasms (diagnosis, genetics, pathology)
• Exosomes