Background and activities
As head of the The MR Cancer Group, my main research interests are focused towards personalised medicine and studies of functional and metabolic properties of cancer using magnetic resonance imaging (MRI) and spectroscopy (MRS). By developing, optimising and applying advanced MR (in combination with other molecular methods) to characterize cancer, our goal is to establish better diagnostic tools for stratification of patients to treatment and treatment monitoring. Current research activities mainly focus on breast and prostate cancer, enabled by a close collaboration with clinicians at the St. Olavs University Hospital in Trondheim. Although clinical research has high priority, a broad spectrum of systems for cancer studies provides translational research, covering ex vivo as well as in vivo MR imaging and spectroscopy of cancer cells and laboratory animals. We also maintain several large biobanks of human tissue and biofluid samples. The research group is also involved in biomedical research related to cardiac heart disease, preeclampsia and testing of new contrast agents.
Publications registered in Pubmed:
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
- (2019) Biomarker discovery using NMR based metabolomics of tissue. Methods in molecular biology.
- (2019) Breast cancer quantitative proteome and proteogenomic landscape. Nature Communications. vol. 10.
- (2018) Integrative metabolic and transcriptomic profiling of prostate cancer tissue containing reactive stroma. Scientific Reports. vol. 8:14269.
- (2018) Markers of mitochondrial metabolism in tumor hypoxia, systemic inflammation, and adverse outcome of rectal cancer. Translational Oncology. vol. 12 (1).
- (2018) The effect of including bone in DIXON-based attenuation correction for 18F-fluciclovine PET/MRI of prostate cancer. Journal of Nuclear Medicine. vol. 59 (12).
- (2018) Simultaneous 18F-fluciclovine Positron Emission Tomography and Magnetic Resonance Spectroscopic Imaging of Prostate Cancer. Frontiers in Oncology. vol. 8.
- (2018) NMR-Based Prostate Cancer Metabolomics. Methods in molecular biology. vol. 1786.
- (2018) NMR-based metabolomics of biofluids in cancer. NMR in Biomedicine.
- (2018) Metabolite and lipoprotein responses and prediction of weight gain during breast cancer treatment. British Journal of Cancer. vol. 119 (9).
- (2018) Cholesterol synthesis pathway genes in prostate cancer are transcriptionally downregulated when tissue confounding is minimized. BMC Cancer. vol. 18 (478).
- (2018) 18F-Fluciclovine PET/MRI for preoperative lymph node staging in high-risk prostate cancer patients. European Radiology.
- (2018) Skeletal muscle metabolism in rats with low and high intrinsic aerobic capacity: Effect of aging and exercise training. PLoS ONE. vol. 13 (12).
- (2018) APIM-peptide targeting PCNA improves the efficacy of docetaxel treatment in the TRAMP mouse model of prostate cancer. OncoTarget. vol. 9 (14).
- (2017) Integrative clustering reveals a novel split in the luminal A subtype of breast cancer with impact on outcome. Breast Cancer Research. vol. 19.
- (2017) Ex vivo metabolic fingerprinting identifies biomarkers predictive of prostate cancer recurrence following radical prostatectomy. British Journal of Cancer. vol. 117 (11).
- (2017) Combined 18F-Fluciclovine PET/MRI shows potential for detection and characterization of high-risk prostate cancer. Journal of Nuclear Medicine. vol. 59 (5).
- (2017) Evaluation of metabolomic changes during neoadjuvant chemotherapy combined with bevacizumab in breast cancer using MR spectroscopy. Metabolomics. vol. 13:37.
- (2017) Metabolic Response to Everolimus in Patient-Derived Triple-Negative Breast Cancer Xenografts. Journal of Proteome Research. vol. 16 (5).
- (2017) Metabolic portraits of breast cancer by HR MAS MR spectroscopy of intact tissue samples. Metabolites. vol. 7 (2:18).
- (2017) Non-Invasive Prostate Cancer Characterization with Diffusion-Weighted MRI: Insight from In silico Studies of a Transgenic Mouse Model. Frontiers in Oncology. vol. 7.