Literature DB >> 21042791

Comparative metabolic profiling of paediatric ependymoma, medulloblastoma and pilocytic astrocytoma.

S Cuellar-Baena1, J M Morales, H Martinetto, J Calvar, G Sevlever, G Castellano, M Cerdá-Nicolás, B Celda, D Monleon.   

Abstract

Brain tumours are the most common solid tumours in children and a major cause of childhood mortality. The most common paediatric brain tumours include ependymomas, cerebellar astrocytomas and medulloblastomas. These brain tumours are highly heterogeneous regarding their histology, prognosis and therapeutic response. Subtle biochemical changes can be detected in intact tissues by High-Resolution Proton Magnetic Angle Spinning Spectroscopy (HR-MAS) revealing the status of tumour microheterogeneity and metabolic alterations before they are morphologically detectable. In this study, we present metabolic profiles by HR-MAS of 20 intact tissue samples from paediatric brain tumours. Tumour types include ependymoma, medulloblastoma and pilocytic astrocytoma. The metabolic characterization of paediatric brain tumour tissue by HR-MAS spectroscopy provided differential patterns for these tumours. The metabolic composition of the tumour tissue was highly consistent with previous in vivo and ex vivo studies. Some resonances detected in this work and not previously observed by in vivo spectroscopy also show potential in determining tumour type and grade (fatty acids, phenylalanine, glutamate). Overall, this work suggests that the additional information obtained by NMR metabolic profiling applied to tissue from paediatric brain tumours may be useful for assessing tumour grade and determining optimum treatment strategies.

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Year:  2010        PMID: 21042791     DOI: 10.3892/ijmm_00000546

Source DB:  PubMed          Journal:  Int J Mol Med        ISSN: 1107-3756            Impact factor:   4.101


  16 in total

Review 1.  Metabolomic signature of brain cancer.

Authors:  Renu Pandey; Laura Caflisch; Alessia Lodi; Andrew J Brenner; Stefano Tiziani
Journal:  Mol Carcinog       Date:  2017-07-17       Impact factor: 4.784

Review 2.  Applications of high-resolution magic angle spinning MRS in biomedical studies II-Human diseases.

Authors:  Christopher Dietz; Felix Ehret; Francesco Palmas; Lindsey A Vandergrift; Yanni Jiang; Vanessa Schmitt; Vera Dufner; Piet Habbel; Johannes Nowak; Leo L Cheng
Journal:  NMR Biomed       Date:  2017-09-15       Impact factor: 4.044

Review 3.  Focus on the glycerophosphocholine pathway in choline phospholipid metabolism of cancer.

Authors:  Kanchan Sonkar; Vinay Ayyappan; Caitlin M Tressler; Oluwatobi Adelaja; Ruoqing Cai; Menglin Cheng; Kristine Glunde
Journal:  NMR Biomed       Date:  2019-06-11       Impact factor: 4.044

Review 4.  Evaluation of Cancer Metabolomics Using ex vivo High Resolution Magic Angle Spinning (HRMAS) Magnetic Resonance Spectroscopy (MRS).

Authors:  Taylor L Fuss; Leo L Cheng
Journal:  Metabolites       Date:  2016-03-22

5.  Tissue metabolite profiles for the characterisation of paediatric cerebellar tumours.

Authors:  Christopher D Bennett; Sarah E Kohe; Simrandip K Gill; Nigel P Davies; Martin Wilson; Lisa C D Storer; Timothy Ritzmann; Simon M L Paine; Ian S Scott; Ina Nicklaus-Wollenteit; Daniel A Tennant; Richard G Grundy; Andrew C Peet
Journal:  Sci Rep       Date:  2018-08-10       Impact factor: 4.379

6.  Metabolomic Screening of Tumor Tissue and Serum in Glioma Patients Reveals Diagnostic and Prognostic Information.

Authors:  Lina Mörén; A Tommy Bergenheim; Soma Ghasimi; Thomas Brännström; Mikael Johansson; Henrik Antti
Journal:  Metabolites       Date:  2015-09-15

Review 7.  Leveraging metabolomics to assess the next generation of temozolomide-based therapeutic approaches for glioblastomas.

Authors:  Patrick-Denis St-Coeur; Mohamed Touaibia; Miroslava Cuperlovic-Culf; Pier Morin
Journal:  Genomics Proteomics Bioinformatics       Date:  2013-06-01       Impact factor: 7.691

8.  Metabolic profiling of the three neural derived embryonal pediatric tumors retinoblastoma, neuroblastoma and medulloblastoma, identifies distinct metabolic profiles.

Authors:  Sarah E Kohe; Christopher D Bennett; Simrandip K Gill; Martin Wilson; Carmel McConville; Andrew C Peet
Journal:  Oncotarget       Date:  2018-01-11

9.  Exploration of human brain tumour metabolism using pairwise metabolite-metabolite correlation analysis (MMCA) of HR-MAS 1H NMR spectra.

Authors:  Basetti Madhu; Alexandra Jauhiainen; Sean McGuire; John R Griffiths
Journal:  PLoS One       Date:  2017-10-25       Impact factor: 3.240

Review 10.  Metabolomics-A Promising Approach to Pituitary Adenomas.

Authors:  Oana Pînzariu; Bogdan Georgescu; Carmen E Georgescu
Journal:  Front Endocrinol (Lausanne)       Date:  2019-01-17       Impact factor: 5.555

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