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dc.contributor.authorEsmaeili, Morteza
dc.contributor.authorMoestue, Siver Andreas
dc.contributor.authorHamans, Bob C.
dc.contributor.authorVeltien, Andor
dc.contributor.authorKristian, Alexandr
dc.contributor.authorEngebråten, Olav
dc.contributor.authorMælandsmo, Gunhild
dc.contributor.authorGribbestad, Ingrid S
dc.contributor.authorBathen, Tone
dc.contributor.authorHeerschap, Arend
dc.date.accessioned2017-06-02T11:30:50Z
dc.date.available2017-06-02T11:30:50Z
dc.date.created2014-01-24T09:10:28Z
dc.date.issued2015
dc.identifier.citationJournal of Magnetic Resonance Imaging. 2015, 41 (3), 601-609.nb_NO
dc.identifier.issn1053-1807
dc.identifier.urihttp://hdl.handle.net/11250/2444248
dc.description.abstractPurpose To study cancer associated with abnormal metabolism of phospholipids, of which several have been proposed as biomarkers for malignancy or to monitor response to anticancer therapy. We explored 3D 31P magnetic resonance spectroscopic imaging (MRSI) at high magnetic field for in vivo assessment of individual phospholipids in two patient-derived breast cancer xenografts representing good and poor prognosis (luminal- and basal-like tumors). Materials and Methods Metabolic profiles from luminal-like and basal-like xenograft tumors were obtained in vivo using 3D 31P MRSI at 11.7T and from tissue extracts in vitro at 14.1T. Gene expression analysis was performed in order to support metabolic differences between the two xenografts. Results In vivo 31P MR spectra were obtained in which the prominent resonances from phospholipid metabolites were detected at a high signal-to-noise ratio (SNR >7.5). Metabolic profiles obtained in vivo were in agreement with those obtained in vitro and could be used to discriminate between the two xenograft models, based on the levels of phosphocholine, phosphoethanolamine, glycerophosphocholine, and glycerophosphoethanolamine. The differences in phospholipid metabolite concentration could partly be explained by gene expression profiles. Conclusion Noninvasive metabolic profiling by 3D 31P MRSI can discriminate between subtypes of breast cancer based on different concentrations of choline- and ethanolamine-containing phospholipids.nb_NO
dc.language.isoengnb_NO
dc.publisherWileynb_NO
dc.titleIn vivo 31P MRSI for metabolic profiling of human breast cancer xenograftsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.pagenumber601-609nb_NO
dc.source.volume41nb_NO
dc.source.journalJournal of Magnetic Resonance Imagingnb_NO
dc.source.issue3nb_NO
dc.identifier.doi10.1002/jmri.24588
dc.identifier.cristin1098630
dc.relation.projectNorges forskningsråd: 221879nb_NO
dc.description.localcode© 2014 Wiley Periodicals, Inc. This is the authors' manuscript to the article.nb_NO
cristin.unitcode194,65,25,0
cristin.unitnameInstitutt for sirkulasjon og bildediagnostikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode2


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