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Magnetic resonance spectroscopy metabolite profiles predict survival in paediatric brain tumours

Abstract Background Brain tumours cause the highest mortality and morbidity rate of all childhood tumour groups and new methods are required to improve clinical management.1 H magnetic resonance spectroscopy (MRS) allows non-invasive concentration measurements of small molecules present in tumour ti...

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Published in:European journal of cancer (1990) 2013-01, Vol.49 (2), p.457-464
Main Authors: Wilson, Martin, Cummins, Carole L, MacPherson, Lesley, Sun, Yu, Natarajan, Kal, Grundy, Richard G, Arvanitis, Theodoros N, Kauppinen, Risto A, Peet, Andrew C
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cited_by cdi_FETCH-LOGICAL-c540t-a5be63e0036eef209b2d30f19aba6b383f7d8cc3882bcea794fd102937efac733
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container_end_page 464
container_issue 2
container_start_page 457
container_title European journal of cancer (1990)
container_volume 49
creator Wilson, Martin
Cummins, Carole L
MacPherson, Lesley
Sun, Yu
Natarajan, Kal
Grundy, Richard G
Arvanitis, Theodoros N
Kauppinen, Risto A
Peet, Andrew C
description Abstract Background Brain tumours cause the highest mortality and morbidity rate of all childhood tumour groups and new methods are required to improve clinical management.1 H magnetic resonance spectroscopy (MRS) allows non-invasive concentration measurements of small molecules present in tumour tissue, providing clinically useful imaging biomarkers. The primary aim of this study was to investigate whether MRS detectable molecules can predict the survival of paediatric brain tumour patients. Patients and methods Short echo time (30 ms) single voxel1 H MRS was performed on children attending Birmingham Children’s Hospital with a suspected brain tumour and 115 patients were included in the survival analysis. Patients were followed-up for a median period of 35 months and Cox-Regression was used to establish the prognostic value of individual MRS detectable molecules. A multivariate model of survival was also investigated to improve prognostic power. Results Lipids and scyllo-inositol predicted poor survival whilst glutamine and N-acetyl aspartate predicted improved survival ( p < 0.05). A multivariate model of survival based on three MRS biomarkers predicted survival with a similar accuracy to histologic grading ( p < 5e–5). A negative correlation between lipids and glutamine was found, suggesting a functional link between these molecules. Conclusions MRS detectable biomolecules have been identified that predict survival of paediatric brain tumour patients across a range of tumour types. The evaluation of these biomarkers in large prospective studies of specific tumour types should be undertaken. The correlation between lipids and glutamine provides new insight into paediatric brain tumour metabolism that may present novel targets for therapy.
doi_str_mv 10.1016/j.ejca.2012.09.002
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The primary aim of this study was to investigate whether MRS detectable molecules can predict the survival of paediatric brain tumour patients. Patients and methods Short echo time (30 ms) single voxel1 H MRS was performed on children attending Birmingham Children’s Hospital with a suspected brain tumour and 115 patients were included in the survival analysis. Patients were followed-up for a median period of 35 months and Cox-Regression was used to establish the prognostic value of individual MRS detectable molecules. A multivariate model of survival was also investigated to improve prognostic power. Results Lipids and scyllo-inositol predicted poor survival whilst glutamine and N-acetyl aspartate predicted improved survival ( p &lt; 0.05). A multivariate model of survival based on three MRS biomarkers predicted survival with a similar accuracy to histologic grading ( p &lt; 5e–5). A negative correlation between lipids and glutamine was found, suggesting a functional link between these molecules. Conclusions MRS detectable biomolecules have been identified that predict survival of paediatric brain tumour patients across a range of tumour types. The evaluation of these biomarkers in large prospective studies of specific tumour types should be undertaken. The correlation between lipids and glutamine provides new insight into paediatric brain tumour metabolism that may present novel targets for therapy.</description><identifier>ISSN: 0959-8049</identifier><identifier>EISSN: 1879-0852</identifier><identifier>DOI: 10.1016/j.ejca.2012.09.002</identifier><identifier>PMID: 23036848</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Adolescent ; Biological and medical sciences ; Brain Neoplasms - metabolism ; Brain Neoplasms - pathology ; Child ; Childhood ; Female ; Glutamine ; Grade ; Hematology, Oncology and Palliative Medicine ; Humans ; LCModel ; Lipids ; Magnetic Resonance Spectroscopy - methods ; Male ; Medical sciences ; Metabolism ; Metabolome ; MRS ; Non-invasive ; Pharmacology. Drug treatments ; Proton ; Survival Analysis ; Tumors</subject><ispartof>European journal of cancer (1990), 2013-01, Vol.49 (2), p.457-464</ispartof><rights>Elsevier Ltd</rights><rights>2012 Elsevier Ltd</rights><rights>2014 INIST-CNRS</rights><rights>Copyright © 2012 Elsevier Ltd. All rights reserved.</rights><rights>2013 Elsevier Ltd. 2012 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-a5be63e0036eef209b2d30f19aba6b383f7d8cc3882bcea794fd102937efac733</citedby><cites>FETCH-LOGICAL-c540t-a5be63e0036eef209b2d30f19aba6b383f7d8cc3882bcea794fd102937efac733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=26849535$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23036848$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wilson, Martin</creatorcontrib><creatorcontrib>Cummins, Carole L</creatorcontrib><creatorcontrib>MacPherson, Lesley</creatorcontrib><creatorcontrib>Sun, Yu</creatorcontrib><creatorcontrib>Natarajan, Kal</creatorcontrib><creatorcontrib>Grundy, Richard G</creatorcontrib><creatorcontrib>Arvanitis, Theodoros N</creatorcontrib><creatorcontrib>Kauppinen, Risto A</creatorcontrib><creatorcontrib>Peet, Andrew C</creatorcontrib><title>Magnetic resonance spectroscopy metabolite profiles predict survival in paediatric brain tumours</title><title>European journal of cancer (1990)</title><addtitle>Eur J Cancer</addtitle><description>Abstract Background Brain tumours cause the highest mortality and morbidity rate of all childhood tumour groups and new methods are required to improve clinical management.1 H magnetic resonance spectroscopy (MRS) allows non-invasive concentration measurements of small molecules present in tumour tissue, providing clinically useful imaging biomarkers. The primary aim of this study was to investigate whether MRS detectable molecules can predict the survival of paediatric brain tumour patients. Patients and methods Short echo time (30 ms) single voxel1 H MRS was performed on children attending Birmingham Children’s Hospital with a suspected brain tumour and 115 patients were included in the survival analysis. Patients were followed-up for a median period of 35 months and Cox-Regression was used to establish the prognostic value of individual MRS detectable molecules. A multivariate model of survival was also investigated to improve prognostic power. Results Lipids and scyllo-inositol predicted poor survival whilst glutamine and N-acetyl aspartate predicted improved survival ( p &lt; 0.05). A multivariate model of survival based on three MRS biomarkers predicted survival with a similar accuracy to histologic grading ( p &lt; 5e–5). A negative correlation between lipids and glutamine was found, suggesting a functional link between these molecules. Conclusions MRS detectable biomolecules have been identified that predict survival of paediatric brain tumour patients across a range of tumour types. The evaluation of these biomarkers in large prospective studies of specific tumour types should be undertaken. The correlation between lipids and glutamine provides new insight into paediatric brain tumour metabolism that may present novel targets for therapy.</description><subject>Adolescent</subject><subject>Biological and medical sciences</subject><subject>Brain Neoplasms - metabolism</subject><subject>Brain Neoplasms - pathology</subject><subject>Child</subject><subject>Childhood</subject><subject>Female</subject><subject>Glutamine</subject><subject>Grade</subject><subject>Hematology, Oncology and Palliative Medicine</subject><subject>Humans</subject><subject>LCModel</subject><subject>Lipids</subject><subject>Magnetic Resonance Spectroscopy - methods</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Metabolism</subject><subject>Metabolome</subject><subject>MRS</subject><subject>Non-invasive</subject><subject>Pharmacology. 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Drug treatments</topic><topic>Proton</topic><topic>Survival Analysis</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wilson, Martin</creatorcontrib><creatorcontrib>Cummins, Carole L</creatorcontrib><creatorcontrib>MacPherson, Lesley</creatorcontrib><creatorcontrib>Sun, Yu</creatorcontrib><creatorcontrib>Natarajan, Kal</creatorcontrib><creatorcontrib>Grundy, Richard G</creatorcontrib><creatorcontrib>Arvanitis, Theodoros N</creatorcontrib><creatorcontrib>Kauppinen, Risto A</creatorcontrib><creatorcontrib>Peet, Andrew C</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European journal of cancer (1990)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wilson, Martin</au><au>Cummins, Carole L</au><au>MacPherson, Lesley</au><au>Sun, Yu</au><au>Natarajan, Kal</au><au>Grundy, Richard G</au><au>Arvanitis, Theodoros N</au><au>Kauppinen, Risto A</au><au>Peet, Andrew C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Magnetic resonance spectroscopy metabolite profiles predict survival in paediatric brain tumours</atitle><jtitle>European journal of cancer (1990)</jtitle><addtitle>Eur J Cancer</addtitle><date>2013-01-01</date><risdate>2013</risdate><volume>49</volume><issue>2</issue><spage>457</spage><epage>464</epage><pages>457-464</pages><issn>0959-8049</issn><eissn>1879-0852</eissn><abstract>Abstract Background Brain tumours cause the highest mortality and morbidity rate of all childhood tumour groups and new methods are required to improve clinical management.1 H magnetic resonance spectroscopy (MRS) allows non-invasive concentration measurements of small molecules present in tumour tissue, providing clinically useful imaging biomarkers. The primary aim of this study was to investigate whether MRS detectable molecules can predict the survival of paediatric brain tumour patients. Patients and methods Short echo time (30 ms) single voxel1 H MRS was performed on children attending Birmingham Children’s Hospital with a suspected brain tumour and 115 patients were included in the survival analysis. Patients were followed-up for a median period of 35 months and Cox-Regression was used to establish the prognostic value of individual MRS detectable molecules. A multivariate model of survival was also investigated to improve prognostic power. Results Lipids and scyllo-inositol predicted poor survival whilst glutamine and N-acetyl aspartate predicted improved survival ( p &lt; 0.05). A multivariate model of survival based on three MRS biomarkers predicted survival with a similar accuracy to histologic grading ( p &lt; 5e–5). A negative correlation between lipids and glutamine was found, suggesting a functional link between these molecules. Conclusions MRS detectable biomolecules have been identified that predict survival of paediatric brain tumour patients across a range of tumour types. The evaluation of these biomarkers in large prospective studies of specific tumour types should be undertaken. The correlation between lipids and glutamine provides new insight into paediatric brain tumour metabolism that may present novel targets for therapy.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>23036848</pmid><doi>10.1016/j.ejca.2012.09.002</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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subjects Adolescent
Biological and medical sciences
Brain Neoplasms - metabolism
Brain Neoplasms - pathology
Child
Childhood
Female
Glutamine
Grade
Hematology, Oncology and Palliative Medicine
Humans
LCModel
Lipids
Magnetic Resonance Spectroscopy - methods
Male
Medical sciences
Metabolism
Metabolome
MRS
Non-invasive
Pharmacology. Drug treatments
Proton
Survival Analysis
Tumors
title Magnetic resonance spectroscopy metabolite profiles predict survival in paediatric brain tumours
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