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儿童室管膜瘤、髓母细胞瘤和毛细胞星形细胞瘤的比较代谢组学分析。

Comparative metabolic profiling of paediatric ependymoma, medulloblastoma and pilocytic astrocytoma.

机构信息

Instituto de Física Gleb Wataghin, Universidade Estadual de Campinas, UNICAMP, Brazil.

出版信息

Int J Mol Med. 2010 Dec;26(6):941-8. doi: 10.3892/ijmm_00000546.

Abstract

Brain tumours are the most common solid tumours in children and a major cause of childhood mortality. The most common paediatric brain tumours include ependymomas, cerebellar astrocytomas and medulloblastomas. These brain tumours are highly heterogeneous regarding their histology, prognosis and therapeutic response. Subtle biochemical changes can be detected in intact tissues by High-Resolution Proton Magnetic Angle Spinning Spectroscopy (HR-MAS) revealing the status of tumour microheterogeneity and metabolic alterations before they are morphologically detectable. In this study, we present metabolic profiles by HR-MAS of 20 intact tissue samples from paediatric brain tumours. Tumour types include ependymoma, medulloblastoma and pilocytic astrocytoma. The metabolic characterization of paediatric brain tumour tissue by HR-MAS spectroscopy provided differential patterns for these tumours. The metabolic composition of the tumour tissue was highly consistent with previous in vivo and ex vivo studies. Some resonances detected in this work and not previously observed by in vivo spectroscopy also show potential in determining tumour type and grade (fatty acids, phenylalanine, glutamate). Overall, this work suggests that the additional information obtained by NMR metabolic profiling applied to tissue from paediatric brain tumours may be useful for assessing tumour grade and determining optimum treatment strategies.

摘要

脑肿瘤是儿童中最常见的实体肿瘤,也是儿童死亡的主要原因。最常见的小儿脑肿瘤包括室管膜瘤、小脑星形细胞瘤和髓母细胞瘤。这些脑肿瘤在组织学、预后和治疗反应方面具有高度异质性。高分辨率质子磁共振角旋转波谱(HR-MAS)可以在完整组织中检测到微妙的生化变化,揭示肿瘤微异质性和代谢改变的状态,而这些变化在形态上是不可检测的。在这项研究中,我们展示了 20 例小儿脑肿瘤完整组织样本的 HR-MAS 代谢谱。肿瘤类型包括室管膜瘤、髓母细胞瘤和毛细胞星形细胞瘤。HR-MAS 光谱对小儿脑肿瘤组织的代谢特征分析为这些肿瘤提供了不同的模式。肿瘤组织的代谢组成与以前的体内和体外研究高度一致。本工作中检测到的一些以前在体内光谱中未观察到的共振也显示出在确定肿瘤类型和分级(脂肪酸、苯丙氨酸、谷氨酸)方面的潜力。总的来说,这项工作表明,应用于小儿脑肿瘤组织的 NMR 代谢谱分析获得的额外信息可能有助于评估肿瘤分级,并确定最佳治疗策略。

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