{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T20:39:23Z","timestamp":1789591163738,"version":"build-2803163510"},"reference-count":44,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2014,2,14]],"date-time":"2014-02-14T00:00:00Z","timestamp":1392336000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2015,3]]},"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>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 <jats:sup>31<\/jats:sup>P magnetic resonance spectroscopic imaging (MRSI) at high magnetic field for in vivo assessment of individual phospholipids in two patient\u2010derived breast cancer xenografts representing good and poor prognosis (luminal\u2010 and basal\u2010like tumors).<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>Metabolic profiles from luminal\u2010like and basal\u2010like xenograft tumors were obtained in vivo using 3D <jats:sup>31<\/jats:sup>P 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In vivo <jats:sup>31<\/jats:sup>P MR spectra were obtained in which the prominent resonances from phospholipid metabolites were detected at a high signal\u2010to\u2010noise ratio (SNR &gt;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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Noninvasive metabolic profiling by 3D <jats:sup>31<\/jats:sup>P MRSI can discriminate between subtypes of breast cancer based on different concentrations of choline\u2010 and ethanolamine\u2010containing phospholipids. <jats:bold>J. Magn. Reson. Imaging 2015;41:601\u2013609.<\/jats:bold> \u00a9 <jats:bold>2014 Wiley Periodicals, Inc.<\/jats:bold><\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.24588","type":"journal-article","created":{"date-parts":[[2014,2,17]],"date-time":"2014-02-17T05:22:45Z","timestamp":1392614565000},"page":"601-609","source":"Crossref","is-referenced-by-count":9,"title":["In Vivo <sup>31<\/sup>P magnetic resonance spectroscopic imaging (MRSI) for metabolic profiling of human breast cancer xenografts"],"prefix":"10.1002","volume":"41","author":[{"given":"Morteza","family":"Esmaeili","sequence":"first","affiliation":[{"name":"Department of Circulation and Medical Imaging Norwegian University of Science and Technology (NTNU)  Trondheim Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siver A.","family":"Moestue","sequence":"additional","affiliation":[{"name":"Department of Circulation and Medical Imaging Norwegian University of Science and Technology (NTNU)  Trondheim Norway"},{"name":"St. Olavs University Hospital P.O. 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