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Metabolic Profiles of Brain Metastases

MI Lab, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim N-7491, Norway
St. Olavs University Hospital HF, Trondheim N-7006, Norway
Department of Neuroscience, NTNU, Trondheim N-7491, Norway
Department of Neurosurgery, St. Olavs University Hospital HF, Trondheim N-7006, Norway
Department of Oncology, St. Olavs University Hospital HF, Trondheim N-7006, Norway
Department of Cancer Research and Molecular Medicine, NTNU, Trondheim N-7491, Norway
Department of Pathology and Medical Genetics, St. Olavs University Hospital HF, Trondheim N-7491, Norway
Department of Laboratory Medicine, Children and Women's Health, NTNU, Trondheim N-7491, Norway
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2013, 14(1), 2104-2118;
Received: 26 October 2012 / Accepted: 9 January 2013 / Published: 22 January 2013
(This article belongs to the Special Issue Brain Metastasis)
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. View Full-Text
Keywords: magnetic resonance; spectroscopy; high-resolution; metabolite; ex vivo; cancer; carcinomas; metastasis magnetic resonance; spectroscopy; high-resolution; metabolite; ex vivo; cancer; carcinomas; metastasis
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MDPI and ACS Style

Sjøbakk, T.E.; Vettukattil, R.; Gulati, M.; Gulati, S.; Lundgren, S.; Gribbestad, I.S.; Torp, S.H.; Bathen, T.F. Metabolic Profiles of Brain Metastases. Int. J. Mol. Sci. 2013, 14, 2104-2118.

AMA Style

Sjøbakk TE, Vettukattil R, Gulati M, Gulati S, Lundgren S, Gribbestad IS, Torp SH, Bathen TF. Metabolic Profiles of Brain Metastases. International Journal of Molecular Sciences. 2013; 14(1):2104-2118.

Chicago/Turabian Style

Sjøbakk, Torill E., Riyas Vettukattil, Michel Gulati, Sasha Gulati, Steinar Lundgren, Ingrid S. Gribbestad, Sverre H. Torp, and Tone F. Bathen 2013. "Metabolic Profiles of Brain Metastases" International Journal of Molecular Sciences 14, no. 1: 2104-2118.

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