Metabolomics of Human Cerebrospinal Fluid Identifies Signatures of Malignant Glioma
Abstract
Cerebrospinal fluid is routinely collected for the diagnosis and monitoring of patients with neurological malignancies. However, little is known as to how its constituents may change in a patient when presented with a malignant glioma. Here, we used a targeted mass-spectrometry based metabolomics platform using selected reaction monitoring with positive/negative switching and profiled the relative levels of over 124 polar metabolites present in patient cerebrospinal fluid. We analyzed the metabolic profiles from 10 patients presenting malignant gliomas and seven control patients that did not present malignancy to test whether a small sample size could provide statistically significant signatures. We carried out multiple unbiased forms of classification using a series of unsupervised techniques and identified metabolic signatures that distinguish malignant glioma patients from the control patients. One subtype identified contained metabolites enriched in citric acid cycle components. Newly diagnosed patients segregated into a different subtype and exhibited low levels of metabolites involved in tryptophan metabolism, which may indicate the absence of an inflammatory signature. Together our results provide the first global assessment of the polar metabolic composition in cerebrospinal fluid that accompanies malignancy, and demonstrate that data obtained from high throughput mass spectrometry technology may have suitable predictive capabilities for the identification of biomarkers and classification of neurological diseases. Cerebrospinal fluid is routinely collected for the diagnosis and monitoring of patients with neurological malignancies. However, little is known as to how its constituents may change in a patient when presented with a malignant glioma. Here, we used a targeted mass-spectrometry based metabolomics platform using selected reaction monitoring with positive/negative switching and profiled the relative levels of over 124 polar metabolites present in patient cerebrospinal fluid. We analyzed the metabolic profiles from 10 patients presenting malignant gliomas and seven control patients that did not present malignancy to test whether a small sample size could provide statistically significant signatures. We carried out multiple unbiased forms of classification using a series of unsupervised techniques and identified metabolic signatures that distinguish malignant glioma patients from the control patients. One subtype identified contained metabolites enriched in citric acid cycle components. Newly diagnosed patients segregated into a different subtype and exhibited low levels of metabolites involved in tryptophan metabolism, which may indicate the absence of an inflammatory signature. Together our results provide the first global assessment of the polar metabolic composition in cerebrospinal fluid that accompanies malignancy, and demonstrate that data obtained from high throughput mass spectrometry technology may have suitable predictive capabilities for the identification of biomarkers and classification of neurological diseases. Patients with malignant gliomas (MG) 1The abbreviations used are:MGmalignant gliomasCNScentral nervous systemsSRMselected reaction monitoringCSFcerebrospinal fluidHILIChydrophilic interaction chromatographyTCAcitric acid cycleLC-MS/MStandem mass spectrometryMRImagnetic resonance imaging. 1The abbreviations used are:MGmalignant gliomasCNScentral nervous systemsSRMselected reaction monitoringCSFcerebrospinal fluidHILIChydrophilic interaction chromatographyTCAcitric acid cycleLC-MS/MStandem mass spectrometryMRImagnetic resonance imaging. have poor prognosis. Those with glioblastomas have a median survival of 14.6 months and 5-year survival is only 9.8% despite aggressive treatment with temozolomide chemo-irradiation (1Stupp R. Hegi M.E. Mason W.P. van den Bent M.J. Taphoorn M.J.B. Janzer R.C. Ludwin S.K. Allgeier A. Fisher B. Belanger K. Hau P. Brandes A.A. Gijtenbeek J. Marosi C. Vecht C.J. Mokhtari K. Wesseling P. Villa S. Eisenhauer E. Gorlia T. Weller M. Lacombe D. Cairncross J.G. Mirimanoff R.O. European Org R. Treatment; Canc Brain Tumour Grp; Radiat Oncol G., and Natl Canc Inst Canada Clin T Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial.Lancet Oncol. 2009; 10: 459-466Abstract Full Text Full Text PDF PubMed Scopus (5550) Google Scholar). 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Despite the high resolution of magnetic resonance imaging (MRI), only macroscopic structural information is obtained and this measurement does not reveal the underlying biology of the malignant glioma. Although tumor tissue analysis performed serially over time is possible, brain biopsies have inherent sampling errors because of the heterogeneous nature of the tumor and resections may lead to neurological deficits (4Chandrasoma P.T. Smith M.M. Apuzzo M.L.J. Stereotactic biopsy in the diagnosis of brain masses - Comparison of results of biopsy and resected surgical specimen.Neurosurgery. 1989; 24: 160-165Crossref PubMed Scopus (153) Google Scholar, 5Glantz M.J. Burger P.C. Herndon 2nd, J.E. Friedman A.H. Cairncross J.G. Vick N.A. Schold Jr., S.C. 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CSF is readily accessible either by lumbar puncture or reservoir sampling, which is less invasive and can be performed serially and may potentially yield a more integrated view of the tumor's activity (6Swanson K. Lok E. Song S. Dessain J. Wong E.T. Cerebrospinal fluid (CSF) Biomarkers for breast cancer (BC) brain metastases.Ann. Neurol. 2009; 66: S58Google Scholar, 7Lehtinen M.K. Zappaterra M.W. Chen X. Yang Y.J. Hill A.D. Lun M.L. Maynard T. Gonzalez D. Kim S. Ye P. D'Ercole A.J. Wong E.T. LaMantia A.S. Walsh C.A. The cerebrospinal fluid provides a proliferative niche for neural progenitor cells.Neuron. 2010; 69: 893-905Abstract Full Text Full Text PDF Scopus (439) Google Scholar). As a result, CSF-derived biomarkers may provide an earlier diagnosis than MRI, obviate invasive procedures, offer information on the tumor's biological state, prognosticate patient survival, and/or predict treatment responses. 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Although as for to results would sample we We of with metabolites and that metabolites with and with the levels of of with The levels of metabolites and with tumor These metabolites acid and of clinical is patient We metabolites that with patient metabolites were to with patient survival of metabolites and that the of can be in the The metabolites in and acid metabolism We present a global polar analysis of human CSF from a small of patients with malignant this we and that statistically significant signatures of glioma and patients can be obtained from a small sample The an and switching platform for the and of unsupervised classification to of metabolites patient and the inherent of for The based platform of a MS and for with and with and is because metabolites may and in to inherent in biological we used multiple classification and which provides of signatures that distinguish malignant gliomas from control as as patients with and diagnosed an for the of our be that metabolites resulting from metabolic can in the CSF in an with to the The of biomarkers from the metabolomics platform is different from that in and the of metabolites is and with to the of Therefore, despite the small sample size in our the in levels that is a for in CSF when in signatures may also have the to be used as diagnostic Because for small than for cells and the of CSF lumbar versus is less than the levels of biological CSF biomarkers for and that from either lumbar or source as to or levels J. R. and CSF and in PubMed Scopus Google Scholar). of our patient from the lumbar for 3 CSF collected from a Therefore, our method is to our analysis of the in the However, a of whether or not the of a would be different lumbar and would the and analysis of CSF from and a is in clinical the that 3 and 10 different from the of the malignant have and However, it to be whether the in the from the in the versus a of tumor or treatment on the A to more the and sampling of CSF the of composition with the of tumor or treatment a of to the metabolites in the the and inflammatory cells that have into the tumor malignant gliomas have altered metabolism by as or and The metabolic that in the of metabolites in the CSF the tumor is less than of the of the brain and cells can into the cell to a L. S. S. L.M. Cantley L.C. Thompson C.B. Heiden 2009; PubMed Scopus Google Scholar, R. A. L. M. S. C. M. A. 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Together our provides the first of profiling in the CSF of malignant Glioma patients. that mass metabolomics offer a technology for the of biomarkers of malignant Glioma from sampling biological fluid. biomarkers from metabolites as as from signatures were is our that this the of metabolomics technology and the metabolic analysis of CSF for further in as a clinical trial with a patient We Vander Heiden and for with
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