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In Silico Analysis Predicts Nuclear Factors NR2F6 and YAP1 as Mesenchymal Subtype-Specific Therapeutic Targets for Ovarian Cancer Patients.
Kassuhn, Wanja; Cutillas, Pedro R; Kessler, Mirjana; Sehouli, Jalid; Braicu, Elena I; Blüthgen, Nils; Kulbe, Hagen.
Affiliation
  • Kassuhn W; Tumorbank Ovarian Cancer Network, 13353 Berlin, Germany.
  • Cutillas PR; Department of Gynecology, European Competence Center for Ovarian Cancer, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Virchow Klinikum, 13353 Berlin, Germany.
  • Kessler M; Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1B 6BQ, UK.
  • Sehouli J; Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.
  • Braicu EI; Tumorbank Ovarian Cancer Network, 13353 Berlin, Germany.
  • Blüthgen N; Department of Gynecology, European Competence Center for Ovarian Cancer, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Virchow Klinikum, 13353 Berlin, Germany.
  • Kulbe H; Tumorbank Ovarian Cancer Network, 13353 Berlin, Germany.
Cancers (Basel) ; 15(12)2023 Jun 12.
Article in En | MEDLINE | ID: mdl-37370765
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Full text: 1 Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Cancers (Basel) Year: 2023 Type: Article Affiliation country: Germany
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Full text: 1 Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Cancers (Basel) Year: 2023 Type: Article Affiliation country: Germany