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Metabolomic patterns in glioblastoma and changes during radiotherapy : a clinical microdialysis study

Wibom, Carl, 1977- (author)
Umeå universitet,Onkologi
Surowiec, Izabella, 1978- (author)
Umeå universitet,Kemiska institutionen
Mörén, Lina, 1985- (author)
Umeå universitet,Kemiska institutionen
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Bergström, Per (author)
Umeå universitet,Onkologi
Johansson, Mikael (author)
Umeå universitet,Onkologi
Antti, Henrik, 1970- (author)
Umeå universitet,Kemiska institutionen
Bergenheim, A Tommy (author)
Umeå universitet,Klinisk neurovetenskap
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 (creator_code:org_t)
2010-04-22
2010
English.
In: Journal of Proteome Research. - : American Chemical Society (ACS). - 1535-3893 .- 1535-3907. ; 9:6, s. 2909-2919
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Kemi (hsv//swe)
NATURAL SCIENCES  -- Chemical Sciences (hsv//eng)

Keyword

chemometrics
gas chromatography-mass spectrometry
glioblastoma
metabolomics
predictive metabolomics
radiotherapy
treatment response

Publication and Content Type

ref (subject category)
art (subject category)

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