Computational Biology Department, School of Computer Science , Carnegie Mellon University , Pittsburgh 15213 , Pennsylvania , United States.
Computer Engineering Department , Bilkent University , Ankara 06800 , Turkey.
J Proteome Res. 2020 Jan 3;19(1):292-299. doi: 10.1021/acs.jproteome.9b00521. Epub 2019 Nov 13.
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, -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.
脑膜瘤在大多数情况下是良性脑肿瘤。2016 年世界卫生组织(WHO)分类定义了脑膜瘤的三个等级。这种分类具有预后价值,因为与 I 级和 II 级脑膜瘤相比,III 级脑膜瘤的预后较差。然而,一些良性或非典型脑膜瘤可能具有临床侵袭性行为。目前没有可靠的标志物可以区分预后良好的脑膜瘤和可能复发的脑膜瘤。高分辨率魔角旋转(HRMAS)谱是一种能够确定组织样本代谢物谱的非侵入性方法。我们通过 HRMAS 谱(43 种代谢物)对 62 例脑膜瘤样本进行了回顾性分析。我们描述了一种代谢特征,其特征为乙酰乙酸盐、苏氨酸、乙酰赖氨酸、羟丁酸、肌醇、抗坏血酸、海鞘素、总胆碱浓度高,天冬氨酸、葡萄糖、异亮氨酸、缬氨酸、腺苷、精氨酸和丙氨酸浓度低。这种代谢组学特征与不良预后的组织学标志物有关[Ki-67≥40%,高组织学分级和孕激素受体(PR)阴性表达]。我们还描述了 III 级和 I 级脑膜瘤之间类似的代谢组学谱。此外,所有 Ki-67 表达低且 PR 表达阳性的 I 级脑膜瘤都没有相同的代谢组学特征。代谢组学分析可用于确定侵袭性脑膜瘤,以讨论个性化治疗方案。需要进一步的研究来证实这些结果,并将这种代谢特征与生存数据相关联。