Abstract #0679
Combining omics; metabolic breast cancer subclass correlation with protein and gene expression subtypes
Tonje H. Haukaas 1,2 , Leslie R. Euceda 1 , 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,
Oslo, Norway,
4
Department
of Surgery, Oslo University Hospital, Ullevl, Oslo,
Norway
Here we combine gene and protein expression subtypes
with three metabolic subclasses found from hierarchical
clustering of HR MAS MR spectra: c1, c2 and c3. The
relative levels of 16 metabolites were significantly
different between at least two of the subclasses.
RPPA-subtype distribution was significantly different
between the metabolic subclasses. INMEX uncovered
metabolic and transcriptomic differences in
glycerophospholipid metabolism between c1 and c2. GSEA
revealed changes in pathways related to collagens and
extracellular matrix in c1 and c3 when compared to c2.
Thus, the combination of different molecular levels
provides insight into the heterogeneity of breast
cancer.
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