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Multivoxel Magnetic Resonance Spectroscopy Identifies Enriched Foci of Cancer Stem-like Cells in High-grade Gliomas

Overview
Publisher Dove Medical Press
Specialty Oncology
Date 2017 Jan 25
PMID 28115854
Citations 3
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Abstract

Objective: This study investigated the correlation between choline/creatine (Cho/Cr) ratios determined by multivoxel proton magnetic resonance spectroscopy (H-MRS) and the distribution of cancer stem-like cells (CSLCs) in high-grade gliomas.

Patients And Methods: Sixteen patients with high-grade gliomas were recruited and underwent H-MRS examination before surgery to identify distinct tumor regions with variable Cho/Cr ratios. Using intraoperative neuronavigation, tumor tissues were accurately sampled from regions with high and low Cho/Cr ratios within each tumor. The distribution of CSLCs in samples from glioma tissue regions with different Cho/Cr ratios was quantified by neurosphere culture, immunohistochemistry, and Western blot.

Results: The mean neurosphere formation rate in tissues with high Cho/Cr ratios was significantly increased compared with that in low Cho/Cr ratio tissues (13.94±5.94 per 100 cells vs 8.04±3.99 per 100 cells, <0.001). Immunohistochemistry indicated that tissues with high Cho/Cr ratios had elevated expression of CD133, nestin, and CD15, relative to low Cho/Cr ratio tissue samples (23.6%±3.8% vs 18.3%±3.3%, 25.2%±4.5% vs 19.8%±2.8%, 24.5%±3.8% vs 17.8%±2.2%, respectively; all <0.001). Western blot demonstrated that relative CD133 and nestin protein expression in high Cho/Cr ratio regions was significantly higher than that in low Cho/Cr ratio tissue samples (0.50±0.17 vs 0.30±0.08, 0.45±0.13 vs 0.27±0.07, respectively; both <0.001). The protein expression levels of CD133 and nestin were highly correlated with Cho/Cr ratios (=0.897 and =0.861, respectively).

Conclusion: Cho/Cr ratios correlate with the distribution of CSLCs in high-grade gliomas, and this may assist in identifying foci enriched with CSLCs and thus improve the management of high-grade gliomas.

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The biology and mathematical modelling of glioma invasion: a review.

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