Literature DB >> 15959923

Metabolic differences between primary and recurrent human brain tumors: a 1H NMR spectroscopic investigation.

Fritz-Georg Lehnhardt1, Christian Bock, Gabriele Röhn, Ralf-Ingo Ernestus, Mathias Hoehn.   

Abstract

High-resolution proton magnetic resonance spectroscopy was performed on tissue specimens from 33 patients with astrocytic tumors (22 astrocytomas, 11 glioblastomas) and 13 patients with meningiomas. For all patients, samples of primary tumors and their first recurrences were examined. Increased anaplasia, with respect to malignant transformation, resulting in a higher malignancy grade, was present in 11 recurrences of 22 astrocytoma patients. Spectroscopic features of tumor types, as determined on samples of the primary occurrences, were in good agreement with previous studies. Compared with the respective primary astrocytomas, characteristic features of glioblastomas were significantly increased concentrations of alanine (Ala) (p = 0.005), increased metabolite ratios of glycine (Gly)/total creatine (tCr) (p = 0.0001) and glutamate (Glu)/glutamine (Gln) (p = 0.004). Meningiomas showed increased Ala (p = 0.02) and metabolite ratios [Gly, total choline (tCho), Ala] over tCr (p = 0.001) relative to astrocytomas, and N-acetylaspartate and myo-inositol were absent. Metabolic changes of an evolving tumor were observed in recurrent astrocytomas: owing to their consecutive assessments, more indicators of malignant degeneration were detected in astrocytoma recurrences (e.g. Gly, p = 0.029; tCho, p = 0.034; Glu, p = 0.015; tCho/tCr, p = 0.001) in contrast to the comparison of primary astrocytomas with primary glioblastomas. The present investigation demonstrated a correlation of the tCho-signal with tumor progression. Significantly elevated concentrations of Ala (p = 0.037) and Glu (p = 0.003) and metabolite ratio tCho/tCr (p = 0.005) were even found in recurrent low-grade astrocytomas with unchanged histopathological grading (n = 11). This may be related to an early stage of malignant transformation, not yet detectable morphologically, and emphasizes the high sensitivity of 1H NMR spectroscopy in elucidating characteristics of brain tumor metabolism. Copyright 2005 John Wiley & Sons, Ltd

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Year:  2005        PMID: 15959923     DOI: 10.1002/nbm.968

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  31 in total

1.  Ex vivo MR spectroscopic measure differentiates tumor from treatment effects in GBM.

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Journal:  Neuro Oncol       Date:  2010-07-20       Impact factor: 12.300

2.  Fast quantification of proton magnetic resonance spectroscopic imaging with artificial neural networks.

Authors:  Himanshu Bhat; Balasrinivasa Rao Sajja; Ponnada A Narayana
Journal:  J Magn Reson       Date:  2006-09-01       Impact factor: 2.229

3.  In vivo measurement of glycine with short echo-time 1H MRS in human brain at 7 T.

Authors:  Giulio Gambarota; Ralf Mekle; Lijing Xin; Martin Hergt; Wietske van der Zwaag; Gunnar Krueger; Rolf Gruetter
Journal:  MAGMA       Date:  2008-10-24       Impact factor: 2.310

4.  Fast spectroscopic multiple analysis (FASMA) for brain tumor classification: a clinical decision support system utilizing multi-parametric 3T MR data.

Authors:  Evangelia Tsolaki; Patricia Svolos; Evanthia Kousi; Eftychia Kapsalaki; Ioannis Fezoulidis; Konstantinos Fountas; Kyriaki Theodorou; Constantine Kappas; Ioannis Tsougos
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-07-15       Impact factor: 2.924

Review 5.  The emerging field of quantitative blood metabolomics for biomarker discovery in critical illnesses.

Authors:  Natalie J Serkova; Theodore J Standiford; Kathleen A Stringer
Journal:  Am J Respir Crit Care Med       Date:  2011-06-16       Impact factor: 21.405

6.  Atomic force microscopy-coupled microcoils for cellular-scale nuclear magnetic resonance spectroscopy.

Authors:  Charilaos Mousoulis; Teimour Maleki; Babak Ziaie; Corey P Neu
Journal:  Appl Phys Lett       Date:  2013-04-11       Impact factor: 3.791

Review 7.  Magnetic resonance spectroscopy in metabolic and molecular imaging and diagnosis of cancer.

Authors:  Kristine Glunde; Dmitri Artemov; Marie-France Penet; Michael A Jacobs; Zaver M Bhujwalla
Journal:  Chem Rev       Date:  2010-05-12       Impact factor: 60.622

8.  Ex-vivo HRMAS of adult brain tumours: metabolite quantification and assignment of tumour biomarkers.

Authors:  Alan J Wright; Greg A Fellows; John R Griffiths; M Wilson; B Anthony Bell; Franklyn A Howe
Journal:  Mol Cancer       Date:  2010-03-23       Impact factor: 27.401

9.  Artificial neural networks for classification in metabolomic studies of whole cells using 1H nuclear magnetic resonance.

Authors:  D F Brougham; G Ivanova; M Gottschalk; D M Collins; A J Eustace; R O'Connor; J Havel
Journal:  J Biomed Biotechnol       Date:  2010-09-15

10.  Diffusion-weighted MR imaging: diagnosing atypical or malignant meningiomas and detecting tumor dedifferentiation.

Authors:  V A Nagar; J R Ye; W H Ng; Y H Chan; F Hui; C K Lee; C C T Lim
Journal:  AJNR Am J Neuroradiol       Date:  2008-03-20       Impact factor: 3.825

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