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Patient-derived organoids reflect the genetic profile of endometrial tumors and predict patient prognosis.
Berg, Hege F; Hjelmeland, Marta Espevold; Lien, Hilde; Espedal, Heidi; Fonnes, Tina; Srivastava, Aashish; Stokowy, Tomasz; Strand, Elin; Bozickovic, Olivera; Stefansson, Ingunn M; Bjørge, Line; Trovik, Jone; Haldorsen, Ingfrid S; Hoivik, Erling A; Krakstad, Camilla.
Afiliación
  • Berg HF; Centre for Cancer Biomarkers, Department of Clinical Science, UiB, Bergen, Norway.
  • Hjelmeland ME; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway.
  • Lien H; Centre for Cancer Biomarkers, Department of Clinical Science, UiB, Bergen, Norway.
  • Espedal H; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway.
  • Fonnes T; Centre for Cancer Biomarkers, Department of Clinical Science, UiB, Bergen, Norway.
  • Srivastava A; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway.
  • Stokowy T; Section of Radiology, Department of Clinical Medicine, UiB, Bergen, Norway.
  • Strand E; Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway.
  • Bozickovic O; Centre for Cancer Biomarkers, Department of Clinical Science, UiB, Bergen, Norway.
  • Stefansson IM; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway.
  • Bjørge L; Section of Bioinformatics, Clinical Laboratory, Haukeland University Hospital, Bergen, Norway.
  • Trovik J; Genomics Core Facility, Department of Clinical Science, UiB, Bergen, Norway.
  • Haldorsen IS; Centre for Cancer Biomarkers, Department of Clinical Science, UiB, Bergen, Norway.
  • Hoivik EA; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway.
  • Krakstad C; Centre for Cancer Biomarkers, Department of Clinical Science, UiB, Bergen, Norway.
Commun Med (Lond) ; 1: 20, 2021.
Article en En | MEDLINE | ID: mdl-35602206
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Commun Med (Lond) Año: 2021 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Commun Med (Lond) Año: 2021 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Reino Unido