Systematic review of immunohistochemical biomarkers to identify prognostic subgroups of patients with pancreatic cancer von Ansari, D., Rosendahl, A., Elebro, J., Andersson, R.

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Multispectral analysis of lymphocyte complexity in periampullary adenocarcinoma von Lundgren, S., Elebro, J., Heby, M., Nodin, B., Leandersson, K., Micke, P., Jirström, K., Mezheyeuski, A.

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The clinical importance of tumour-infiltrating macrophages and dendritic cells in periampullary adenocarcinoma differs by morphological subtype von Lundgren, Sebastian, Karnevi, Emelie, Elebro, Jacob, Nodin, Björn, Karlsson, Mikael C I, Eberhard, Jakob, Leandersson, Karin, Jirström, Karin

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The mutational landscape of periampullary adenocarcinomas in relation to morphological subtype and patient survival von Lundgren, S., Karnevi, E., Elebro, J., Nodin, B., Eberhard, J., Leandersson, K., Jönsson, G.B., Jirström, K.

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Interobserver variability in the evaluation of mismatch repair protein immunostaining von Klarskov, Louise, MD, Ladelund, Steen, Holck, Susanne, MD, PhD, Roenlund, Karina, MD, Lindebjerg, Jan, MD, Elebro, Jacob, MD, Halvarsson, Britta, MD, PhD, von Salomé, Jenny, MSc, Bernstein, Inge, MD, PhD, Nilbert, Mef, MD, PhD

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Translational study reveals a two-faced role of RBM3 in pancreatic cancer and suggests its potential value as a biomarker for improved patient stratification von Karnevi, Emelie, Dror, Liv Ben, Mardinoglu, Adil, Elebro, Jacob, Heby, Margareta, Olofsson, Sven-Erik, Nodin, Björn, Eberhard, Jakob, Gallagher, William, Uhlén, Mathias, Jirström, Karin

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Levels of vitamin D and expression of the vitamin D receptor in relation to breast cancer risk and survival von Huss, L., Butt, S.T., Borgquist, S., Elebro, K., Sandsveden, M., Manjer, J., Rosendahl, A.H.

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Abstract P2-03-02: Markers of PI3K/Akt, ER & AR pathways and Ki67 expression in relation to tamoxifen outcome in ER+ breast cancer von Campbell, C, Mathew, J, Ellis, I, Finlay, P, Green, A, Bradbury, I, Borgquist, S, Elebro, K, Politz, O, Haegebarth, A, Gee, JM, Robertson, JF

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The prognostic impact of the tumour stroma fraction: A machine learning-based analysis in 16 human solid tumour types von Micke, Patrick, Strell, Carina, Mattsson, Johanna, Martín-Bernabé, Alfonso, Brunnström, Hans, Huvila, Jutta, Sund, Malin, Wärnberg, Fredrik, Ponten, Fredrik, Glimelius, Bengt, Hrynchyk, Ina, Mauchanski, Siarhei, Khelashvili, Salome, Garcia-Vicién, Gemma, Molleví, David G., Edqvist, Per-Henrik, O´Reilly, Aine, Corvigno, Sara, Dahlstrand, Hanna, Botling, Johan, Segersten, Ulrika, Krzyzanowska, Agnieszka, Bjartell, Anders, Elebro, Jacob, Heby, Margareta, Lundgren, Sebastian, Hedner, Charlotta, Borg, David, Brändstedt, Jenny, Sartor, Hanna, Malmström, Per-Uno, Johansson, Martin, Nodin, Björn, Backman, Max, Lindskog, Cecilia, Jirström, Karin, Mezheyeuski, Artur

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