In Vivo 31P magnetic resonance spectroscopic imaging (MRSI) for metabolic profiling of human breast cancer xenografts. Issue 3 (14th February 2014)

• Record Type: Journal Article
• Authors: Esmaeili, Morteza; Moestue, Siver A.; Hamans, Bob C.; Veltien, Andor; Kristian, Alexandr; Engebråten, Olav; Mælandsmo, Gunhild M.; Gribbestad, Ingrid S.; Bathen, Tone F.; Heerschap, Arend
• Is Part Of: Journal of magnetic resonance imaging. Volume 41:Issue 3(2015)
• Page Start: 601
• Page End: 609
• Publication Date: 2014-02-14
• Subjects: Magnetic resonance imaging -- Periodicals; 616
• DOI: 10.1002/jmri.24588
• Languages: English
• ISSNs: 1053-1807

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="jmri24588-sec-0001" sec-type="section"> <title>Purpose</title> <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 <sup>31</sup>P 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).</p> </sec> <sec id="jmri24588-sec-0002" sec-type="section"> <title>Materials and Methods</title> <p>Metabolic profiles from luminal‐like and basal‐like xenograft tumors were obtained in vivo using 3D <sup>31</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.</p> </sec> <sec id="jmri24588-sec-0003" sec-type="section"> <title>Results</title> <p>In vivo <sup>31</sup>P 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.</p> </sec> <sec id="jmri24588-sec-0004" sec-type="section"> <title>Conclusion</title> <p>Noninvasive metabolic profiling by 3D <sup>31</sup>P MRSI can discriminate between subtypes of breast cancer based on different concentrations of choline‐ and ethanolamine‐containing phospholipids. <bold>J. Magn. Reson. Imaging 2015;41:601–609.</bold> © <bold>2014 Wiley Periodicals, Inc.</bold></p> </sec> </abstract>