Now showing items 1-5 of 5

    • Addition of IMP3 to L1CAM for discrimination between low- and high-grade endometrial carcinomas: a European Network for Individualised Treatment of Endometrial Cancer collaboration study 

      Visser, Nicole C.M.; van der Putten, Louis J. M.; van Egerschot, Alex; van de Vijver, Koen; Santacana Espasa, Maria; Bronsert, Peter; Hirschfeld, Marc; Colás, Eva; Colás, Eva; Gil-Moreno, Antonio; Garcia, Angel; Mancebo, Gemma; Alameda, Fransesc; Krakstad, Camilla; Tangen, Ingvild L.; Huvila, Jutta; Schrauwen, Stefanie; Koskas, Martin; Walker, Francine; Weinberger, Vit; Minar, Lubos; Hausnerova, Jitka; Snijders, Marc P. L. M.; van den Berg-van Erp, Saskia; Matias-Guiu, Xavier; Trovik, Jone; Amant, Frederic; Massuger, Leon F. A. G.; Bulten, Johan; Pijnenborg, Johanna M. A. (Elsevier, 2019)
      Discrimination between low- and high-grade endometrial carcinomas (ECs) is clinically relevant but can be challenging for pathologists, with moderate interobserver agreement. Insulin-like growth factor-II mRNA-binding ...
    • L1CAM expression in endometrial carcinomas: an ENITEC collaboration study 

      van der Putten, Louis J. M.; Visser, Nicole C.M.; van de Vijver, Koen; Santacana Espasa, Maria; Bronsert, Peter; Bulten, Johan; Hirschfeld, Marc; Colás, Eva; Gil-Moreno, Antonio; Garcia, Angel; Mancebo, Gemma; Alameda, Fransesc; Trovik, Jone; Kopperud, Reidun K.; Huvila, Jutta; Schrauwen, Stefanie; Koskas, Martin; Walker, Francine; Weinberger, Vit; Minar, Lubos; Jandakova, Eva; Snijders, Marc P. L. M.; van den Berg-van Erp, Saskia; Matias-Guiu, Xavier; Salvesen, Helga B.; Amant, Frederic; Massuger, Leon F. A. G.; Pijnenborg, Johanna M. A. (Springer Nature, 2016)
      Background: Identification of aggressive endometrioid endometrial carcinomas (EECs) and non-endometrioid carcinomas (NEECs) is essential to improve outcome. L1 cell adhesion molecule (L1CAM) expression is a strong prognostic ...
    • Poor outcome in hypoxic endometrial carcinoma is related to vascular density 

      Reijnen, Casper; Van Weelden, Willem Jan; Arts, Martijn S. J. P.; Peters, Johan P.; Rijken, Paul F.; van de Vijver, Koen; Santacana Espasa, Maria; Bronsert, Peter; Bulten, Johan; Hirschfeld, Marc; Colás, Eva; Gil-Moreno, Antonio; Reques, Armando; Mancebo, Gemma; Krakstad, Camilla; Trovik, Jone; Haldorsen, Ingfrid S; Huvila, Jutta; Koskas, Martin; Weinberger, Vit; Minar, Lubos; Jandakova, Eva; Snijders, Marc P. L. M.; van den Berg-van Erp, Saskia; Küsters-Vandevelde, Heidi V. N; Matias-Guiu, Xavier; Amant, Frederic; Massuger, Leon F. A. G.; Bussink, Johan; Pijnenborg, Johanna M. A. (Springer Nature; Cancer Research UK, 2019)
      BACKGROUND: Identification of endometrial carcinoma (EC) patients at high risk of recurrence is lacking. In this study, the prognostic role of hypoxia and angiogenesis was investigated in EC patients. METHODS: Tumour ...
    • Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study 

      Reijnen, Casper; Gogou, Evangelia; Visser, Nicole C. M.; Engerud, Hilde; Ramjith, Jordache; van der Putten, Louis J. M.; van de Vijver, Koen; Santacana, Maria; Bronsert, Peter; Bulten, Johan; Hirschfeld, Marc; Colas, Eva; Gil-Moreno, Antonio; Reques, Armando; Mancebo, Gemma; Krakstad, Camilla; Trovik, Jone; Haldorsen, Ingfrid S.; Huvila, Jutta; Koskas, Martin; Weinberger, Vit; Bednarikova, Marketa; Hausnerova, Jitka; van der Wurff, Anneke A. M.; Matias-Guiu, Xavier; Amant, Frederic; Massuger, Leon F. A. G.; Snijders, Marc P. L .M.; Küsters-Vandevelde, Heidi V. N.; Lucas, Peter J. F.; Pijnenborg, Johanna M. A. (Public Library of Science, 2020-05)
      Background Bayesian networks (BNs) are machine-learning–based computational models that visualize causal relationships and provide insight into the processes underlying disease progression, closely resembling clinical ...
    • Reproducibility of measurement of myometrial invasion in endometrial carcinoma 

      van der Putten, Louis J. M.; van de Vijver, Koen; Bartosch, Carla; Davidson, Ben; Gatius Calderó, Sònia; Matias-Guiu, Xavier; McCluggage, W. Glenn; Toledo, Gemma; van der Wurff, Anneke A. M.; Pijnenborg, Johanna M. A.; Massuger, Leon F. A. G.; Bulten, Johan (Springer Berlin Heidelberg, 2016)
      Myometrial invasion (MI) as a percentage (%MI), categorized into <50 or ≥50 %, is an important predictor of prognosis in endometrial carcinoma. Recent studies suggest that tumor-free distance (TFD) to serosa and the absolute ...