• DNA methylation changes in response to neoadjuvant chemotherapy are associated with breast cancer survival 

      Pedersen, Christine Aaserød; Cao, Maria Dung; Fleischer, Thomas; Rye, Morten Beck; Knappskog, Stian; Eikesdal, Hans Petter; Lønning, Per Eystein; Tost, Jörg; Kristensen, Vessela N.; Tessem, May-Britt; Giskeødegård, Guro F.; Bathen, Tone Frost (Journal article; Peer reviewed, 2022)
      Background: Locally advanced breast cancer is a heterogeneous disease with respect to response to neoadjuvant chemotherapy (NACT) and survival. It is currently not possible to accurately predict who will benefit from the ...
    • Metabolic consequences of perioperative oral carbohydrates in breast cancer patients - an explorative study 

      Lende, Tone Hoel; Austdal, Marie; Bathen, Tone Frost; Varhaugvik, Anne Elin; Skaland, Ivar; Gudlaugsson, Einar; Egeland, Nina Gran; Lunde, Siri; Akslen, Lars A.; Jonsdottir, Kristin; Janssen, Emiel; Søiland, Håvard; Baak, Jan P.A. (Peer reviewed; Journal article, 2019-12-04)
      Background: The metabolic consequences of preoperative carbohydrate load in breast cancer patients are not known. The present explorative study investigated the systemic and tumor metabolic changes after preoperative ...
    • Metabolic profiles of placenta in preeclampsia using HR-MAS MRS metabolomics 

      Austdal, Marie; Thomsen, Liv Cecilie Vestrheim; Tangerås, Line Haugstad; Skei, Bente; Mathew, Seema; Bjørge, Line; Austgulen, Rigmor; Bathen, Tone Frost; Iversen, Ann-Charlotte (Peer reviewed; Journal article, 2015-12)
      Introduction Preeclampsia is a heterogeneous gestational disease characterized by maternal hypertension and proteinuria, affecting 2–7% of pregnancies. The disorder is initiated by insufficient placental development, but ...
    • Metabolomics identifies placental dysfunction and confirms Flt-1 (FMS-like tyrosine kinase receptor 1) biomarker specificity 

      Austdal, Marie; Silva, Gabriela; Bowe, Sophie; Thomsen, Liv Cecilie Vestrheim; Tangerås, Line Haugstad; Bjørge, Line; Bathen, Tone Frost; Iversen, Ann-Charlotte (Journal article; Peer reviewed, 2019)
      Clinical end-stage parameters define the pregnancy disorders preeclampsia and fetal growth restriction while classification of the underlying placental dysfunction is missing and urgently needed. Flt-1 (FMS-like tyrosine ...
    • Primary Treatment Effects for High-Grade Serous Ovarian Carcinoma Evaluated by Changes in Serum Metabolites and Lipoproteins 

      Torkildsen, Cecilie Fredvik; Austdal, Marie; Iversen, Ann-Charlotte; Bathen, Tone Frost; Giskeødegård, Guro F.; Nilsen, Elisabeth Berge; Iversen, Grete Alræk; Sande, Ragnar; Bjørge, Line; Thomsen, Liv Cecilie Vestrheim (Journal article; Peer reviewed, 2023)
      High-grade serous ovarian carcinoma (HGSOC) is the most common and deadliest ovarian cancer subtype. Despite advances in treatment, the overall prognosis remains poor. Regardless of efforts to develop biomarkers to predict ...
    • Prognostic value of metabolic response in breast cancer patients receiving neoadjuvant chemotherapy 

      Cao, Maria Dung; Giskeødegård, Guro F.; Bathen, Tone Frost; Sitter, Beathe; Bofin, Anna; Lønning, Per Eystein; Lundgren, Steinar; Gribbestad, Ingrid S. (Peer reviewed; Journal article, 2012-01-25)
      Background: Today’s clinical diagnostic tools are insufficient for giving accurate prognosis to breast cancer patients. The aim of our study was to examine the tumor metabolic changes in patients with locally advanced ...
    • Semi-automatic segmentation from intrinsically-registered 18F-FDG-PET/MRI for treatment response assessment in a breast cancer cohort: comparison to manual DCE-MRI 

      Andreassen, Maren Marie Sjaastad; Goa, Pål Erik; Sjøbakk, Torill Eidhammer; Hedayati, Roja; Eikesdal, Hans Petter; Deng, Callie; Østlie, Agnes; Lundgren, Steinar; Bathen, Tone Frost; Jerome, Neil Peter (Peer reviewed; Journal article, 2019-09-27)
      Objectives: To investigate the reliability of simultaneous positron emission tomography and magnetic resonance imaging (PET/MRI)-derived biomarkers using semi-automated Gaussian mixture model (GMM) segmentation on PET ...