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Abstract #0804

Interplay of Choline Metabolites and Genes in Patient-Derived Breast Cancer Xenografts

Maria T. Grinde1, 2, Saurabh S. Gorad1, Nirma Skrbo3, 4, Siver A. Moestue1, Einar A. Rdland5, Eldrid Borgan1, 6, Alexandr Kristian3, Beathe Sitter1, 7, Tone Frost Bathen, 28, Anne Lise Brresen-Dale4, 6, Gunhild M. Maelandsmo3, 9, Olav Engebrten4, 10, Therese Srlie6, Elisabetta Marangoni11, Ingrid Susann Gribbestad, 28

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.