Your browser doesn't support javascript.
loading
Identifying clinical response to daratumumab therapy in relapsed/refractory multiple myeloma using a patient-derived in vitro model.
van Nieuwenhuijzen, Niels; Cuenca, Marta; Abbink, Leonie; Jak, Margot; Peperzak, Victor; Minnema, Monique C.
Afiliación
  • van Nieuwenhuijzen N; Department of Hematology University Medical Center Utrecht, Utrecht University Utrecht The Netherlands.
  • Cuenca M; Center for Translational Immunology University Medical Center Utrecht, Utrecht University Utrecht The Netherlands.
  • Abbink L; Center for Translational Immunology University Medical Center Utrecht, Utrecht University Utrecht The Netherlands.
  • Jak M; Department of Hematology University Medical Center Utrecht, Utrecht University Utrecht The Netherlands.
  • Peperzak V; Center for Translational Immunology University Medical Center Utrecht, Utrecht University Utrecht The Netherlands.
  • Minnema MC; Department of Hematology University Medical Center Utrecht, Utrecht University Utrecht The Netherlands.
EJHaem ; 5(1): 141-146, 2024 Feb.
Article en En | MEDLINE | ID: mdl-38406516
ABSTRACT
Response to daratumumab in patients with relapsed/refractory multiple myeloma is heterogeneous, and a reliable biomarker of response is lacking. We aimed to develop a method that identifies response to daratumumab therapy. Patient-derived MM cells were collected before start of daratumumab treatment and were cultured in a hydrogel-based culture system. The extent of antibody-dependent cellular cytotoxicity and complement-dependent cytotoxicity in vitro was associated with both clinical response and progression-free survival in corresponding patients. Together, our results demonstrate that in vitro sensitivity to daratumumab therapy in a hydrogel culture with primary MM cells might be used to identify patients most likely to benefit from treatment.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: EJHaem Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: EJHaem Año: 2024 Tipo del documento: Article