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Abstract #0849

Metabolic subgrouping of breast cancer using HR MAS MRS and hierarchical cluster analysis; correlation with molecular subtypes

Leslie R. Euceda 1,2 , Tonje H. Haukaas 1,2 , Guro F. Giskedegrd 1 , Marit Krohn 2,3 , Ellen Schlichting 4 , Rolf Kresen 2,4 , Sandra Nyberg 2,3 , Kristine Kleivi Sahlberg 2,3 , Anne-Lise Brresen-Dale 2,3 , and Tone F. Bathen 1,2

1 Department of Circulation and Medical Imaging, Faculty of Medicine, NTNU, Trondheim, Norway, 2 K.G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway, 3 Department of Genetics, Institute for Cancer Research Oslo University Hospital, The Norwegian Radium Hospital, Norway, 4 Department of Surgery, Oslo University Hospital, Ullevl, Oslo, Norway

Metabolic subgroups resulting from hierarchical clustering of MR metabolic profiles from a large cohort of breast tumor biopsies were combined with data from gene expression and reverse phased protein arrays to search for any relationship between metabolic profiles and molecular subtypes. No such relationships were established, which might make it possible for a more refined division of subtypes into subclasses based on metabolic differences. Bridging information from several molecular levels in the same tumor may improve our knowledge about various classes of breast cancer that may contribute to personalized treatment.

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