Metabolomic Patterns in Glioblastoma and Changes during Radiotherapy: A Clinical Microdialysis Study

被引:73
作者
Wibom, Carl [1 ,2 ,3 ]
Surowiec, Izabella [1 ]
Moren, Lina [2 ]
Bergstrom, Per [2 ]
Johansson, Mikael [2 ]
Antti, Henrik [1 ]
Bergenheim, A. Tommy [3 ]
机构
[1] Umea Univ, Computat Life Sci Cluster, Dept Chem, SE-90187 Umea, Sweden
[2] Umea Univ Hosp, Dept Oncol, Inst Radiat Sci, S-90185 Umea, Sweden
[3] Umea Univ Hosp, Dept Neurosurg, S-90185 Umea, Sweden
基金
瑞典研究理事会;
关键词
chemometrics; gas chromatography-mass spectrometry; glioblastoma; metabolomics; predictive metabolomics; radiotherapy; treatment response; MAGNETIC-RESONANCE SPECTROSCOPY; HUMAN BRAIN-TUMORS; IN-VITRO; GLUCOSE METABOLITES; GLUTAMATE; GLIOMA; VIVO; TEMOZOLOMIDE; GLYCEROL; RELEASE;
D O I
10.1021/pr901088r
中图分类号
Q5 [生物化学];
学科分类号
070307 [化学生物学];
摘要
We employed stereotactic microdialysis to sample extracellular fluid intracranially from glioblastoma patients, before and during the first five days of conventional radiotherapy treatment. Microdialysis catheters were implanted in the contrast enhancing tumor as well as in the brain adjacent to tumor (BAT). Reference samples were collected subcutaneously from the patients' abdomen. The samples were analyzed by gas chromatography-time-of-flight mass spectrometry (GC-TOF MS), and the acquired data was processed by hierarchical multivariate curve resolution (H-MCR) and analyzed with orthogonal partial least-squares (OPLS). To enable detection of treatment-induced alterations, the data was processed by individual treatment over time (ITOT) normalization. One-hundred fifty-one metabolites were reliably detected, of which 67 were identified. We found distinct metabolic differences between the intracranially collected samples from tumor and the BAT region. There was also a marked difference between the intracranially and the subcutaneously collected samples. Furthermore, we observed systematic metabolic changes induced by radiotherapy treatment among both tumor and BAT samples. The metabolite patterns affected by treatment were different between tumor and BAT, both containing highly discriminating information, ROC values of 0.896 and 0.821, respectively. Our findings contribute to increased molecular knowledge of basic glioblastoma pathophysiology and point to the possibility of detecting metabolic marker patterns associated to early treatment response.
引用
收藏
页码:2909 / 2919
页数:11
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