%0 Journal Article
%T Metabolic clusters of breast cancer in relation to gene- and protein expression subtypes
%A Anne-Lise B£¿rresen-Dale
%A Eldri U. Due
%A Ellen Schlichting
%A Gordon B. Mills
%A Guro F. Giske£¿deg£¿rd
%A Kristine K. Sahlberg
%A Leslie R. Euceda
%A Marit Krohn
%A Miriam R. Aure
%A Ole C. Lingj£¿rde
%A Sandra Jernstr£¿m
%A Santosh Lamichhane
%A The Oslo Breast Cancer Consortium (OSBREAC)
%A Tone F. Bathen
%A Tonje H. Haukaas
%A £¿ystein Garred
%J Archive of "Cancer & Metabolism".
%D 2016
%R 10.1186/s40170-016-0152-x
%X The heterogeneous biology of breast cancer leads to high diversity in prognosis and response to treatment, even for patients with similar clinical diagnosis, histology, and stage of disease. Identifying mechanisms contributing to this heterogeneity may reveal new cancer targets or clinically relevant subgroups for treatment stratification. In this study, we have merged metabolite, protein, and gene expression data from breast cancer patients to examine the heterogeneity at a molecular level
%K Metabolomics
%K HR MAS MRS
%K Breast cancer subgroups
%K Metabolic cluster
%K Extracellular matrix
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4922058/