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脑转移瘤的代谢特征。

Metabolic profiles of brain metastases.

作者信息

Sjøbakk Torill E, Vettukattil Riyas, Gulati Michel, Gulati Sasha, Lundgren Steinar, Gribbestad Ingrid S, Torp Sverre H, Bathen Tone F

机构信息

MI Lab, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim N-7491, Norway.

出版信息

Int J Mol Sci. 2013 Jan 22;14(1):2104-18. doi: 10.3390/ijms14012104.

DOI:10.3390/ijms14012104
PMID:23340650
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3565368/
Abstract

Metastasis to the brain is a feared complication of systemic cancer, associated with significant morbidity and poor prognosis. A better understanding of the tumor metabolism might help us meet the challenges in controlling brain metastases. The study aims to characterize the metabolic profile of brain metastases of different origin using high resolution magic angle spinning (HR-MAS) magnetic resonance spectroscopy (MRS) to correlate the metabolic profiles to clinical and pathological information. Biopsy samples of human brain metastases (n = 49) were investigated. A significant correlation between lipid signals and necrosis in brain metastases was observed (p < 0.01), irrespective of their primary origin. The principal component analysis (PCA) showed that brain metastases from malignant melanomas cluster together, while lung carcinomas were metabolically heterogeneous and overlap with other subtypes. Metastatic melanomas have higher amounts of glycerophosphocholine than other brain metastases. A significant correlation between microscopically visible lipid droplets estimated by Nile Red staining and MR visible lipid signals was observed in metastatic lung carcinomas (p = 0.01), indicating that the proton MR visible lipid signals arise from cytoplasmic lipid droplets. MRS-based metabolomic profiling is a useful tool for exploring the metabolic profiles of metastatic brain tumors.

摘要

脑转移是全身性癌症令人恐惧的并发症,与显著的发病率和不良预后相关。更好地了解肿瘤代谢可能有助于我们应对控制脑转移方面的挑战。本研究旨在利用高分辨率魔角旋转(HR-MAS)磁共振波谱(MRS)对不同来源的脑转移瘤的代谢特征进行表征,以便将代谢特征与临床和病理信息相关联。对人脑转移瘤的活检样本(n = 49)进行了研究。观察到脑转移瘤中脂质信号与坏死之间存在显著相关性(p < 0.01),无论其原发来源如何。主成分分析(PCA)表明,恶性黑色素瘤来源的脑转移瘤聚集在一起,而肺癌来源的脑转移瘤在代谢上具有异质性,且与其他亚型重叠。转移性黑色素瘤的甘油磷酸胆碱含量高于其他脑转移瘤。在转移性肺癌中,观察到尼罗红染色估计的显微镜下可见脂质滴与磁共振可见脂质信号之间存在显著相关性(p = 0.01),这表明质子磁共振可见脂质信号来自细胞质脂质滴。基于MRS的代谢组学分析是探索转移性脑肿瘤代谢特征的有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bae/3565368/aafc058c92fe/ijms-14-02104f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bae/3565368/a4e228c3ac1e/ijms-14-02104f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bae/3565368/5ea2c1741f61/ijms-14-02104f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bae/3565368/7f12a06d0580/ijms-14-02104f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bae/3565368/dba614714f26/ijms-14-02104f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bae/3565368/aafc058c92fe/ijms-14-02104f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bae/3565368/a4e228c3ac1e/ijms-14-02104f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bae/3565368/5ea2c1741f61/ijms-14-02104f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bae/3565368/7f12a06d0580/ijms-14-02104f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bae/3565368/dba614714f26/ijms-14-02104f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bae/3565368/aafc058c92fe/ijms-14-02104f5.jpg

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