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      Metabolomic profile of aggressive meningiomas by using highresolution magic angle spinning nuclear magnetic resonance

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      Author(s)
      Bender, L.
      Somme, F.
      Ruhland, E.
      Çiçek, A. Ercüment
      Bund, C.
      Namer, I. J.
      Date
      2020
      Source Title
      Journal of Proteome Research
      Print ISSN
      1535-3893
      Publisher
      American Chemical Society
      Volume
      19
      Issue
      1
      Pages
      292 - 299
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      Meningiomas are in most cases benign brain tumors. The WHO 2016 classification defines three grades of meningiomas. This classification had a prognosis value because grade III meningiomas have a worse prognosis value compared to grades I and II meningiomas. However, some benign or atypical meningiomas can have a clinical aggressive behavior. There are currently no reliable markers which allow distinguishing between the meningiomas with a good prognosis and those which may recur. High-resolution magic angle spinning (HRMAS) spectrometry is a noninvasive method able to determine the metabolite profile of a tissue sample. We retrospectively analyzed 62 meningioma samples by using HRMAS spectrometry (43 metabolites). We described a metabolic profile defined by a high concentration for acetate, threonine, N-acetyl-lysine, hydroxybutyrate, myoinositol, ascorbate, scylloinositol, and total choline and a low concentration for aspartate, glucose, isoleucine, valine, adenosine, arginine, and alanine. This metabolomic signature was associated with poor prognosis histological markers [Ki-67 ≥ 40%, high histological grade and negative progesterone receptor (PR) expression]. We also described a similar metabolomic spectrum between grade III and grade I meningiomas. Moreover, all grade I meningiomas with a low Ki-67 expression and a positive PR expression did not have the same metabolomic profile. Metabolomic analysis could be used to determine an aggressive meningioma in order to discuss a personalized treatment. Further studies are needed to confirm these results and to correlate this metabolic profile with survival data.
      Keywords
      Ex vivo spectrometry
      HRMAS NMR
      Meningioma
      Metabolic signature
      Permalink
      http://hdl.handle.net/11693/55059
      Published Version (Please cite this version)
      https://dx.doi.org/10.1021/acs.jproteome.9b00521
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