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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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