Peninsula Medical School, Faculty of Health, Medicine, Dentistry and Human Sciences, University of Plymouth, The John Bull Building, Plymouth Science Park, Research Way, Plymouth, PL6 8BU, UK.
Department of Neuropathology, Institute of Pathology, University Hospital Heidelberg, 69126, Heidelberg, Germany.
J Neurooncol. 2022 Oct;160(1):137-147. doi: 10.1007/s11060-022-04126-0. Epub 2022 Sep 8.
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.
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.
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.
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.
目前的世界卫生组织(WHO)分类和甲基化状态有助于预测脑膜瘤的复发和预后。然而,迄今为止,尚无具有临床价值的循环生物标志物可用于脑膜瘤的诊断或分类。循环 microRNA(miRNA)显示出作为各种肿瘤的癌症生物标志物的潜力。本研究评估了特定的 miRNA,miR-497 和 miR-219,作为脑膜瘤分级的便捷、高效预测因子。
我们研究了 74 例脑膜瘤样本(WHO 分级 I = 25 例,WHO 分级 II = 25 例,WHO 分级 III = 24 例)和 53 例健康对照者的血清和外泌体 miR-497 水平。我们研究了 56 例脑膜瘤样本(WHO 分级 I = 22 例,WHO 分级 II = 14 例,WHO 分级 III = 20 例)血清 miR-219 水平。我们使用 qPCR 进行 miRNA 定量。我们还测试了两种不同的内参,内源性和外源性,并评估了它们对 miR-497 诊断价值的影响。
血清和外泌体 miR-497 可区分脑膜瘤与对照样本。此外,miR-497 是脑膜瘤分级的合适标志物。当我们将 miR-497 和 miR-219 结合使用时,与单独使用 miR-497 或 miR-219 相比,联合生物标志物在脑膜瘤分类中的效果更高。miR-497 和 miR-219 均随着脑膜瘤的甲基化分类发生明显变化。
本研究表明,血清 miR-497 是一种有效的、易于测量的脑膜瘤诊断和分类的生物标志物。此外,当我们将 miR-497 和 miR-219 结合使用时,联合生物标志物在脑膜瘤分类中的准确性更高。此外,这是首次评估血清循环 miRNA 与脑膜瘤甲基化状态之间相关性的研究。