Your browser doesn't support javascript.
loading
A transcriptome-informed QSP model of metastatic triple-negative breast cancer identifies predictive biomarkers for PD-1 inhibition.
Arulraj, Theinmozhi; Wang, Hanwen; Emens, Leisha A; Santa-Maria, Cesar A; Popel, Aleksander S.
Afiliación
  • Arulraj T; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
  • Wang H; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
  • Emens LA; University of Pittsburgh Medical Center, Hillman Cancer Center, Pittsburgh, PA, 15213, USA.
  • Santa-Maria CA; Department of Oncology, and the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
  • Popel AS; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Sci Adv ; 9(26): eadg0289, 2023 06 30.
Article en En | MEDLINE | ID: mdl-37390206
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Triple Negativas Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Adv Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Triple Negativas Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Adv Año: 2023 Tipo del documento: Article