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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