1Dept. of Circulation and Medical Imaging, NTNU, Trondheim, Norway; 2St. Olavs University Hospital, Trondheim, Norway; 3Dept. of Tumor Biology, Institute of Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway; 4Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; 5Dept. of Informatics, University of Oslo, Oslo, Norway; 6Dept. of Genetics, Oslo University Hospital Radiumhospitalet, Oslo, Norway; 7Dept. of Technology, Sr-Trondelag University College, Trondheim, Norway; 8Dept. of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway; 9Dept. of Pharmacy, Faculty of Health Sciences, University of Troms, Troms, Norway; 10Dept. of Oncology, Oslo University Hospital Radiumhospitalet, Oslo, Norway; 11Preclinical Investigation Unit, Translational Research Department, Institut Curie, Paris, France
We employed high-resolution magic angle spinning (HR MAS) MR spectroscopy and gene expression microarray to map the metabolomic and transcriptomic characteristics related to choline metabolism in large panel of patient-derived breast cancer xenografts (N=34) and to evaluate the clinical relevance of xenograft models for metabolomic studies. The results showed significantly different choline metabolic and gene expression profiles in luminal B and basal-like subtypes of breast cancer. It also indicated that the patient-derived xenografts are representative of human breast cancer, and may be valuable for further exploration of subtype-specific metabolic and transcriptomic traits.