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Molecular typing of Meningiomas by Desorption Electrospray Ionization Mass Spectrometry Imaging for Surgical Decision-Making

机译:解吸电喷雾质谱成像技术对脑膜瘤的分子分型

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摘要

Meningiomas are the most frequent intracranial tumors. The majority is benign slow-growing tumors but they can be difficult to treat depending on their location and size. While meningiomas are well delineated on magnetic resonance imaging by their uptake of contrast, surgical limitations still present themselves from not knowing the extent of invasion of the dura matter by meningioma cells. The development of tools to characterize tumor tissue in real or near real time could prevent recurrence after tumor resection by allowing for more precise surgery, i.e. removal of tumor with preservation of healthy tissue. The development of ambient ionization mass spectrometry for molecular characterization of tissue and its implementation in the surgical decision-making workflow carry the potential to fulfill this need. Here, we present the characterization of meningioma and dura mater by desorption electrospray ionization mass spectrometry to validate the technique for the molecular assessment of surgical margins and diagnosis of meningioma from surgical tissue in real-time. Nine stereotactically resected surgical samples and three autopsy samples were analyzed by standard histopathology and mass spectrometry imaging. All samples indicated a strong correlation between results from both techniques. We then highlight the value of desorption electrospray ionization mass spectrometry for the molecular subtyping/subgrouping of meningiomas from a series of forty genetically characterized specimens. The minimal sample preparation required for desorption electrospray ionization mass spectrometry offers a distinct advantage for applications relying on real-time information such as surgical decision-making. The technology here was tested to distinguish meningioma from dura mater as an approach to precisely define surgical margins. In addition we classify meningiomas into fibroblastic and meningothelial subtypes and more notably recognize meningiomas with NF2 genetic aberrations.
机译:脑膜瘤是最常见的颅内肿瘤。多数是良性缓慢生长的肿瘤,但根据其位置和大小可能难以治疗。尽管脑膜瘤通过吸收造影剂在磁共振成像中得到了很好的描述,但由于不知道脑膜瘤细胞对硬脑膜物质的侵犯程度,外科手术仍然存在局限性。实时或接近实时地表征肿瘤组织的工具的开发可以通过允许进行更精确的手术,即在保留健康组织的同时切除肿瘤,来防止肿瘤切除后的复发。用于组织分子表征的环境电离质谱技术的发展及其在外科手术决策工作流程中的实施,具有满足这一需求的潜力。在这里,我们介绍了通过解吸电喷雾电离质谱法表征脑膜瘤和硬脑膜的方法,以验证用于手术切缘的分子评估和从手术组织中实时诊断脑膜瘤的技术。通过标准组织病理学和质谱成像分析了九个立体定向切除的手术样本和三个尸检样本。所有样品均表明两种技术的结果之间具有很强的相关性。然后,我们强调了从一系列40个具有遗传特征的标本中解吸电喷雾电离质谱对脑膜瘤的分子亚型/亚组的价值。解吸电喷雾电离质谱所需的最少样品制备为依赖实时信息(例如手术决策)的应用提供了明显的优势。经过测试的技术可以区分脑膜瘤和硬脑膜,从而精确定义手术切缘。此外,我们将脑膜瘤分为成纤维细胞和脑膜内皮亚型,并且更明显地认识到具有NF2遗传畸变的脑膜瘤。

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