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Blar i Department of Clinical Science på tidsskrift 
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  • Department of Clinical Science
  • Department of Clinical Science
  • Blar i Department of Clinical Science på tidsskrift
  •   Hjem
  • Faculty of Medicine
  • Department of Clinical Science
  • Department of Clinical Science
  • Blar i Department of Clinical Science på tidsskrift
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Blar i Department of Clinical Science på tidsskrift "Acta Oncologica"

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    • Accurate population-based model for individual prediction of colon cancer recurrence 

      Österman, Erik; Ekström, Joakim; Sjöblom, Tobias; Kørner, Hartwig; Myklebust, Tor Åge; Guren, Marianne; Glimelius, Bengt (Journal article; Peer reviewed, 2021)
      Background Prediction models are useful tools in the clinical management of colon cancer patients, particularly when estimating the recurrence rate and, thus, the need for adjuvant treatment. However, the most used models ...
    • Molecular characterization of a large unselected cohort of metastatic colorectal cancers in relation to primary tumor location, rare metastatic sites and prognosis 

      Nunes, Luís; Aasebø, Kristine; Mathot, Lucy; Ljungström, Viktor; Edqvist, Per-Henrik; Sundström, Magnus; Dragomir, Anca; Pfeiffer, Per; Ameur, Adam; Pontén, Fredrik; Mezheyeuski, Artur; Sorbye, Halfdan; Sjöblom, Tobias; Glimelius, Bengt (Journal article; Peer reviewed, 2020-01-10)
      Background: We have reported that BRAF V600E mutations and microsatellite instability-high (MSI-H) are more prevalent in a population-based cohort of metastatic colorectal cancer (mCRC) patients than has been reported from ...
    • TP53 status predicts long-term survival in locally advanced breast cancer after primary chemotherapy 

      Eikesdal, Hans Petter; Knappskog, Stian; Aas, Turid; Lønning, Per Eystein (Peer reviewed; Journal article, 2014-10)
      Background: Before the advent of neoadjuvant chemotherapy, radiotherapy and surgery alone were associated with a high risk of uncontrolled locoregional relapses in locally advanced breast cancer (LABC). Material and methods: ...

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