• Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group 

      Thagaard, Jeppe; Broeckx, Glenn; Page, David B; Jahangir, Chowdhury Arif; Verbandt, Sara; Kos, Zuzana; Gupta, Rajarsi; Khiroya, Reena; Abduljabbar, Khalid; Acosta Haab, Gabriela; Acs, Balazs; Akturk, Guray; Almeida, Jonas S; Alvarado-Cabrero, Isabel; Amgad, Mohamed; Azmoudeh-Ardalan, Farid; Badve, Sunil; Baharun, Nurkhairul Bariyah; Balslev, Eva; Bellolio, Enrique R; Bheemaraju, Vydehi; Blenman, Kim RM; Botinelly Mendonça Fujimoto, Luciana; Bouchmaa, Najat; Burgues, Octavio; Chardas, Alexandros; Chon U Cheang, Maggie; Ciompi, Francesco; Cooper, Lee AD; Coosemans, An; Corredor, Germán; Dahl, Anders B; Dantas Portela, Flavio Luis; Deman, Frederik; Demaria, Sandra; Doré Hansen, Johan; Dudgeon, Sarah N; Ebstrup, Thomas; Elghazawy, Mahmoud; Fernandez-Martín, Claudio; Fox, Stephen B; Gallagher, William M; Giltnane, Jennifer M; Gnjatic, Sacha; Gonzalez-Ericsson, Paula I; Grigoriadis, Anita; Halama, Niels; Hanna, Matthew G; Harbhajanka, Aparna; Hart, Steven N; Hartman, Johan; Hauberg, Søren; Hewitt, Stephen; Hida, Akira I; Horlings, Hugo M; Husain, Zaheed; Hytopoulos, Evangelos; Irshad, Sheeba; Janssen, Emiel; Kahila, Mohamed; Kataoka, Tatsuki R; Kawaguchi, Kosuke; Kharidehal, Durga; Khramtsov, Andrey I; Kiraz, Umay; Kirtani, Pawan; Kodach, Liudmila L; Korski, Konstanty; Kovács, Anikó; Laenkholm, Anne-Vibeke; Lang-Schwarz, Corinna; Larsimont, Denis; Lennerz, Jochen K; Lerousseau, Marvin; Li, Xiaoxian; Ly, Amy; Madabhushi, Anant; Maley, Sai K; Manur Narasimhamurthy, Vidya; Marks, Douglas K; McDonald, Elizabeth S; Mehrotra, Ravi; Michiels, Stefan; Minhas, Fayyaz ul Amir Afsar; Mittal, Shachi; Moore, David A; Mushtaq, Shamim; Nighat, Hussain; Papathomas, Thomas; Penault-Llorca, Frederique; Perera, Rashindrie D; Pinard, Christopher J; Pinto-Cardenas, Juan Carlos; Pruneri, Giancarlo; Pusztai, Lajos; Rahman, Arman; Rajpoot, Nasir Mahmood; Rapoport, Bernardo Leon; Rau, Tilman T; Reis-Filho, Jorge S; Ribeiro, Joana M; Rimm, David; Roslind, Anne; Vincent-Salomon, Anne; Salto-Tellez, Manuel; Saltz, Joel; Sayed, Shahin; Scott, Ely; Siziopikou, Kalliopi P; Sotiriou, Christos; Stenzinger, Albrecht; Sughayer, Maher A; Sur, Daniel; Fineberg, Susan; Symmans, Fraser; Tanaka, Sunao; Taxter, Timothy; Tejpar, Sabine; Teuwen, Jonas; Thompson, E Aubrey; Tramm, Trine; Tran, William T; van der Laak, Jeroen; van Diest, Paul J; Verghese, Gregory E; Viale, Giuseppe; Vieth, Michael; Wahab, Noorul; Walter, Thomas; Waumans, Yannick; Wen, Hannah Y; Yang, Wentao; Yuan, Yinyin; Zin, Reena Md; Adams, Sylvia; Bartlett, John; Loibl, Sibylle; Denkert, Carsten; Savas, Peter; Loi, Sherene; Salgado, Roberto; Specht Stovgaard, Elisabeth (Peer reviewed; Journal article, 2023)
      The clinical significance of the tumor-immune interaction in breast cancer is now established, and tumor-infiltrating lymphocytes (TILs) have emerged as predictive and prognostic biomarkers for patients with triple-negative ...
    • Prenatal BRCA1 epimutations contribute significantly to triple-negative breast cancer development 

      Nikolaienko, Oleksii; Eikesdal, Hans Petter; Berge, Elisabet Ognedal; Gilje, Bjørnar; Lundgren, Steinar; Blix, Egil Støre; Espelid, Helge; Geisler, Jürgen; Geisler, Stephanie; Janssen, Emiel; Yndestad, Synnøve; Minsaas, Laura; Leirvaag, Beryl; Lillestøl, Reidun Kristine; Knappskog, Stian; Lønning, Per Eystein (Peer reviewed; Journal article, 2023)
      Background Normal cell BRCA1 epimutations have been associated with increased risk of triple-negative breast cancer (TNBC). However, the fraction of TNBCs that may have BRCA1 epimutations as their underlying cause is ...
    • Prognostic value and reproducibility of different microscopic characteristics in the WHO grading systems for pTa and pT1 urinary bladder urothelial carcinomas 

      Kvikstad, Vebjørn; Mangrud, Målfrid Ok; Gudlaugsson, Einar; Dalen, Ingvild; Espeland, Hans; Baak, Jan P.A.; Janssen, Emiel (Peer reviewed; Journal article, 2019-08)
      Background: European treatment guidelines for pTa and pT1 urinary bladder urothelial carcinoma depend highly on stage and WHO-grade. Both the WHO73 and the WHO04 grading systems show some intra- and interobserver variability. ...
    • Semi-supervised tissue segmentation of histological images 

      Wetteland, Rune; Dalheim, Ove Nicolai; Kvikstad, Vebjørn; Janssen, Emiel; Engan, Kjersti (Peer reviewed; Journal article, 2020-09)
      Supervised learning of convolutional neural networks (CNN) used for image classification and segmentation has produced state-of-the art results, including in many medical image applications. In the medical field, making ...
    • Serum concentrations of active tamoxifen metabolites predict long-term survival in adjuvantly treated breast cancer patients 

      Helland, Thomas; Henne, Nina; Bifulco, Ersilia; Naume, Bjørn; Borgen, Elin; Kristensen, Vessela N.; Kvaløy, Jan Terje; Lash, Timothy L; Grenaker, Grethe Irene; van Schaik, RHN; Janssen, Emiel; Hustad, Steinar; Lien, Ernst Asbjørn; Mellgren, Gunnar; Søiland, Håvard (Journal article; Peer reviewed, 2017)
      Background Controversies exist as to whether the genetic polymorphisms of the enzymes responsible for the metabolism of tamoxifen can predict breast cancer outcome in patients using adjuvant tamoxifen. Direct measurement ...
    • Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer 

      Page, David B; Broeckx, Glenn; Jahangir, Chowdhury Arif; Verbandt, Sara; Gupta, Rajarsi R; Thagaard, Jeppe; Khiroya, Reena; Kos, Zuzana; Abduljabbar, Khalid; Acosta Haab, Gabriela; Acs, Balazs; Akturk, Guray; Almeida, Jonas S; Alvarado-Cabrero, Isabel; Azmoudeh-Ardalan, Farid; Badve, Sunil; Baharun, Nurkhairul Bariyah; Bellolio, Enrique R; Bheemaraju, Vydehi; Blenman, Kim RM; Botinelly Mendonça Fujimoto, Luciana; Bouchmaa, Najat; Burgues, Octavio; Cheang, Maggie Chon U; Ciompi, Francesco; Cooper, Lee AD; Coosemans, An; Corredor, Germán; Dantas Portela, Flavio Luis; Deman, Frederik; Demaria, Sandra; Dudgeon, Sarah N; Elghazawy, Mahmoud; Ely, Scott; Fernandez-Martín, Claudio; Fineberg, Susan; Fox, Stephen B; Gallagher, William M; Giltnane, Jennifer M; Gnjatic, Sacha; Gonzalez-Ericsson, Paula I; Grigoriadis, Anita; Halama, Niels; Hanna, Matthew G; Harbhajanka, Aparna; Hardas, Alexandros; Hart, Steven N; Hartman, Johan; Hewitt, Stephen; Hida, Akira I; Horlings, Hugo M; Husain, Zaheed; Hytopoulos, Evangelos; Irshad, Sheeba; Janssen, Emiel; Kahila, Mohamed; Kataoka, Tatsuki R; Kawaguchi, Kosuke; Kharidehal, Durga; Khramtsov, Andrey I; Kiraz, Umay; Kirtani, Pawan; Kodach, Liudmila L; Korski, Konstanty; Kovács, Anikó; Laenkholm, Anne-Vibeke; Lang-Schwarz, Corinna; Larsimont, Denis; Lennerz, Jochen K; Lerousseau, Marvin; Li, Xiaoxian; Ly, Amy; Madabhushi, Anant; Maley, Sai K; Manur Narasimhamurthy, Vidya; Marks, Douglas K; McDonald, Elizabeth S; Mehrotra, Ravi; Michiels, Stefan; Minhas, Fayyaz ul Amir Afsar; Mittal, Shachi; Moore, David A; Mushtaq, Shamim; Nighat, Hussain; Papathomas, Thomas; Penault-Llorca, Frederique; Perera, Rashindrie D; Pinard, Christopher J; Pinto-Cardenas, Juan Carlos; Pruneri, Giancarlo; Pusztai, Lajos; Rahman, Arman; Rajpoot, Nasir Mahmood; Rapoport, Bernardo Leon; Rau, Tilman T; Reis-Filho, Jorge S; Ribeiro, Joana M; Rimm, David; Vincent-Salomon, Anne; Salto-Tellez, Manuel; Saltz, Joel; Sayed, Shahin; Siziopikou, Kalliopi P; Sotiriou, Christos; Stenzinger, Albrecht; Sughayer, Maher A; Sur, Daniel; Symmans, Fraser; Tanaka, Sunao; Taxter, Timothy; Tejpar, Sabine; Teuwen, Jonas; Thompson, E Aubrey; Tramm, Trine; Tran, William T; van der Laak, Jeroen; van Diest, Paul J; Verghese, Gregory E; Viale, Giuseppe; Vieth, Michael; Wahab, Noorul; Walter, Thomas; Waumans, Yannick; Wen, Hannah Y; Yang, Wentao; Yuan, Yinyin; Adams, Sylvia; Bartlett, John Mark Seaverns; Loibl, Sibylle; Denkert, Carsten; Savas, Peter; Loi, Sherene; Salgado, Roberto; Specht Stovgaard, Elisabeth (Peer reviewed; Journal article, 2023)
      Modern histologic imaging platforms coupled with machine learning methods have provided new opportunities to map the spatial distribution of immune cells in the tumor microenvironment. However, there exists no standardized ...
    • Triaging HPV-Positive Cervical Samples with p16 and Ki-67 Dual Stained Cytology within an Organized Screening Program—A Prospective Observational Study from Western Norway 

      Øvestad, Irene Tveiterås; Dalen, Ingvild; Andersland, Marie Songstad; Vintermyr, Olav Karsten; Moltu, Pia; Berland, Jannicke; Janssen, Emiel; Haugland, Hans Kristian (Peer reviewed; Journal article, 2023)
      The implementation of high-risk human papillomavirus testing (hrHPV testing) as a screening method in substitute for cytology has evoked the need for more sensitive and less objective tests for the triage of HPV-positive ...
    • A U‑net based approach to epidermal tissue segmentation in whole slide histopathological images 

      Oskal, Kay Raymond; Risdal, Martin; Janssen, Emiel; Undersrud, Erling Sandøy; Gulsrud, Thor Ole (Peer reviewed; Journal article, 2019-06)
      Malignant melanoma is a severe and aggressive type of skin cancer, with a rapid decrease in survival rate if not diagnosed and treated at an early stage. Histopathological examination of hematoxylin and eosin stained tissue ...
    • Validation study of MARCKSL1 as a prognostic factor in lymph node-negative breast cancer patients 

      Egeland, Nina Gran; Austdal, Marie; Van Diermen, Bianca; Rewcastle, Emma; Gudlaugsson, Einar; Baak, Jan P.A.; Skaland, Ivar; Janssen, Emiel; Jonsdottir, Kristin (Peer reviewed; Journal article, 2019)
      Protein expression of Myristoylated alanine-rich C kinase substrate like-1 (MARCKSL1) has been identified as a prognostic factor in lymph-node negative (LN-) breast cancer patients. We aim to validate MARCKSL1 protein ...