AI Article Synopsis
- Metastasis to the brain from systemic cancer leads to severe health issues and poor survival rates, highlighting the need for better understanding of tumor metabolism to tackle these challenges.
- A study analyzing 49 biopsy samples of brain metastases revealed a strong link between lipid signals and necrosis, with distinct metabolic profiles observed: malignant melanomas clustered together while lung carcinomas showed more diversity.
- Findings suggest that metastatic melanomas exhibit higher glycerophosphocholine levels, and there is a correlation between lipid droplets visible in pathology and those detected through magnetic resonance spectroscopy (MRS), indicating MRS is effective in studying brain tumor metabolism.
Article 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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3565368 | PMC |
| http://dx.doi.org/10.3390/ijms14012104 | DOI Listing |
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