• LIMT is a novel metastasis inhibiting lncRNA suppressed by EGF and downregulated in aggressive breast cancer 

      Sas-Chen, Aldema; Aure, Miriam Ragle; Leibovich, Limor; Carvalho, Silvia; Enuka, Yehoshua; Körner, Cindy; Polycarpou-Schwarz, Maria; Lavi, Sara; Nevo, Nava; Kuznetsov, Yuri; Yuan, Justin; Azuaje, Francisco; Ulitsky, Igor; Diederichs, Sven; Wiemann, Stefan; Yakhini, Zohar; Kristensen, Vessela N.; Børresen-Dale, Anne-Lise; Yarden, Yosef; Sauer, Torill; Geisler, Jürgen; Hofvind, Solveig; Bathen, Tone Frost; Borgen, Elin; Engebråten, Olav; Fodstad, Øystein; Garred, Øystein; Geitvik, Gry; Kåresen, Rolf; Naume, Bjørn; Mælandsmo, Gunhild; Russnes, Hege Elisabeth Giercksky; Schlichting, Ellen; Sørlie, Therese; Lingjærde, Ole Christian; Sahlberg, Kristine Kleivi; Skjerven, Helle; Fritzman, Britt (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-09-01)
      Long noncoding RNAs (lncRNAs) are emerging as regulators of gene expression in pathogenesis, including cancer. Recently, lncRNAs have been implicated in progression of specific subtypes of breast cancer. One aggressive, basal-like subtype associates with increased EGFR signaling, while another, the HER2-enriched subtype, engages a kin of EGFR Based on the premise that EGFR-regulated lncRNAs might ...
    • Molecularly matched therapy in the context of sensitivity, resistance, and safety; patient outcomes in end-stage cancer - the MetAction study 

      Ree, Anne Hansen; Nygaard, Vigdis; Pedersen, Kjetil Boye; Heinrich, Daniel; Dueland, Svein; Bergheim, Inger Riise; Johansen, Christin; Beiske, Klaus; Negård, Anne; Lund-Iversen, Marius; Nygaard, Vegard; Hovig, Eivind; Nakken, Sigve; Nasser, Salah; Julsrud, Lars; Reisse, Claudius; Ruud, Espen Asak; Kristensen, Vessela N.; Flørenes, Vivi Ann; Geitvik, Gry; Lingjærde, Ole Christian; Børresen-Dale, Anne-Lise; Russnes, Hege Elisabeth Giercksky; Mælandsmo, Gunhild Mari; Flatmark, Kjersti (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-25)
      <i>Background</i>: In precision cancer medicine, the challenge is to prioritize DNA driver events, account for resistance markers, and procure sufficient information for treatment that maintains patient safety. The MetAction project, exploring how tumor molecular vulnerabilities predict therapy response, first established the required workflow for DNA sequencing and data interpretation (2014–2015). ...
    • Protein signature predicts response to neoadjuvant treatment with chemotherapy and bevacizumab in HER2-negative breast cancers 

      Haugen, Mads Haugland; Lingjærde, Ole Christian; Hedenfalk, Ingrid; Garred, Øystein; Borgen, Elin; Loman, Niklas; Hatschek, Thomas; Børresen-Dale, Anne-Lise; Naume, Bjørn; Mills, Gordon B.; Mælandsmo, Gunhild Mari; Engebråten, Olav (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-01-28)
      <p>PURPOSE: Antiangiogenic therapy using bevacizumab has proven effective for a number of cancers; however, in breast cancer (BC), there is an unmet need to identify patients who benefit from such treatment. <p>PATIENTS AND METHODS: In the NeoAva phase II clinical trial, patients (N = 132) with large (≥ 25 mm) human epidermal growth factor receptor 2 (HER2)-negative primary tumors were randomly ...
    • Subtype-specific response to bevacizumab is reflected in the metabolome and transcriptome of breast cancer xenografts 

      Borgan, Eldrid; Lindholm, Evita Maria; Moestue, Siver Andreas; Mælandsmo, Gunhild; Lingjærde, Ole Christian; Gribbestad, Ingrid S; Børresen-Dale, Anne-Lise; Engebråten, Olav; Sørlie, Therese (Journal article; Tidsskriftartikkel; Peer reviewed, 2012-10-23)
      <p>Antiangiogenic therapy with bevacizumab has shown varying results in breast cancer clinical trials. Identifying robust biomarkers for selecting patients who may benefit from such treatment and for monitoring response is important for the future use of bevacizumab.</p> <p>Two established xenograft models representing basal‐like and luminal‐like breast cancer were used to study bevacizumab ...