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In Vivo 31P Magnetic Resonance Spectroscopic Imaging (MRSI) for Metabolic Profiling of Human Breast Cancer Xenografts
被引:10
|作者:
Esmaeili, Morteza
[1
]
Moestue, Siver A.
[1
,2
]
Hamans, Bob C.
[3
]
Veltien, Andor
[3
]
Kristian, Alexandr
[4
,5
]
Engebraten, Olav
[5
,6
]
Maelandsmo, Gunhild M.
[4
]
Gribbestad, Ingrid S.
[1
]
Bathen, Tone F.
[1
]
Heerschap, Arend
[1
,3
]
机构:
[1] Norwegian Univ Sci & Technol NTNU, Dept Circulat & Med Imaging, N-7491 Trondheim, Norway
[2] St Olavs Univ Hosp, N-7006 Trondheim, Norway
[3] Radboud Univ Nijmegen, Med Ctr, Dept Radiol, NL-6525 ED Nijmegen, Netherlands
[4] Oslo Univ Hosp, Dept Tumor Biol, Inst Canc Res, N-0450 Oslo, Norway
[5] Univ Oslo, Inst Clin Med, Fac Med, Oslo, Norway
[6] Oslo Univ Hosp, Dept Oncol, N-0450 Oslo, Norway
关键词:
phospholipid;
choline metabolism;
phosphorus MR spectroscopic imaging;
high field;
ethanolamine kinase;
basal-like;
PREDICTING PATHOLOGICAL RESPONSE;
GENE-EXPRESSION;
CHOLINE KINASE;
NEOADJUVANT CHEMOTHERAPY;
MOLECULAR PORTRAITS;
TUMOR SUBTYPES;
H-1;
PROSTATE;
QUANTIFICATION;
MARKERS;
D O I:
10.1002/jmri.24588
中图分类号:
R8 [特种医学];
R445 [影像诊断学];
学科分类号:
1002 ;
100207 ;
1009 ;
摘要:
PurposeTo 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 P-31 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 MethodsMetabolic profiles from luminal-like and basal-like xenograft tumors were obtained in vivo using 3D P-31 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. ResultsIn vivo P-31 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. ConclusionNoninvasive metabolic profiling by 3D P-31 MRSI can discriminate between subtypes of breast cancer based on different concentrations of choline- and ethanolamine-containing phospholipids. J. Magn. Reson. Imaging 2015;41:601-609. (c) 2014 Wiley Periodicals, Inc.
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页码:601 / 609
页数:9
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