Browsing Institutt for informatikk by Author "Lundgren, Steinar"

Now showing items 1-3 of 3

  • Immune phenotype of tumor microenvironment predicts response to bevacizumab in neoadjuvant treatment of ER-positive breast cancer 
    Gythfeldt, Hedda von der Lippe; Lien, Tonje Gulbrandsen; Tekpli, Xavier; Silwal-Pandit, Laxmi; Borgen, Elin; Garred, Øystein; Skjerven, Helle; Schlichting, Ellen; Lundgren, Steinar; Wist, Erik; Naume, Bjørn; Kristensen, Vessela N.; Børresen-Dale, Anne-Lise; Lingjærde, Ole Christian; Engebråten, Olav (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    Antiangiogenic drugs are potentially a useful supplement to neoadjuvant chemotherapy for a subgroup of patients with human epidermal growth factor receptor 2 (HER2) negative breast cancer, but reliable biomarkers for ...
  • The longitudinal transcriptional response to neoadjuvant chemotherapy with and without bevacizumab in breast cancer 
    Silwal-Pandit, Laxmi; Nord, Silje; Gythfeldt, Hedda; Møller, Elen Kristine; Fleischer, Thomas; Rødland, Einar Andreas; Krohn, Marit; Borgen, Elin; Garred, Øystein; Olsen, Tone; Vu, Phuong Ngoc Thi; Skjerven, Helle; Fangberget, Anne; Holmen, Marit Muri; Schlichting, Ellen; Wille, Elisabeth; Stokke, Mette Norberg; Vollan, Hans Kristian Moen; Kristensen, Vessela N.; Langerød, Anita; Lundgren, Steinar; Wist, Erik; Naume, Bjørn; Lingjærde, Ole Christian; Børresen-Dale, Anne-Lise; Engebråten, Olav (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2017)
    Purpose: Chemotherapy-induced alterations to gene expression are due to transcriptional reprogramming of tumor cells or subclonal adaptations to treatment. The effect on whole-transcriptome mRNA expression was investigated ...
  • Merging transcriptomics and metabolomics - advances in breast cancer profiling 
    Borgan, Eldrid; Sitter, Beathe; Lingjærde, Ole C; Johnsen, Hilde; Lundgren, Steinar; Bathen, Tone F; Sørlie, Therese; Børresen-Dale, Anne-Lise; Gribbestad, Ingrid S (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2010)
    Background Combining gene expression microarrays and high resolution magic angle spinning magnetic resonance spectroscopy (HR MAS MRS) of the same tissue samples enables comparison of the transcriptional ...