Cargando…
PKPD Modeling of Predictors for Adverse Effects and Overall Survival in Sunitinib-Treated Patients With GIST
A modeling framework relating exposure, biomarkers (vascular endothelial growth factor (VEGF), soluble vascular endothelial growth factor receptor (sVEGFR)-2, -3, soluble stem cell factor receptor (sKIT)), and tumor growth to overall survival (OS) was extended to include adverse effects (myelosuppre...
Autores principales: | Hansson, E K, Ma, G, Amantea, M A, French, J, Milligan, P A, Friberg, L E, Karlsson, M O |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3868978/ https://www.ncbi.nlm.nih.gov/pubmed/24304978 http://dx.doi.org/10.1038/psp.2013.62 |
Ejemplares similares
-
PKPD Modeling of VEGF, sVEGFR-2, sVEGFR-3, and sKIT as Predictors of Tumor Dynamics and
Overall Survival Following Sunitinib Treatment in GIST
por: Hansson, E K, et al.
Publicado: (2013) -
PK‐PD modeling of individual lesion FDG‐PET response to predict overall survival in patients with sunitinib‐treated gastrointestinal stromal tumor
por: Schindler, E, et al.
Publicado: (2016) -
Evaluation of nilotinib in advanced GIST previously treated with imatinib and sunitinib
por: Cauchi, C., et al.
Publicado: (2011) -
Effect of gastrointestinal resection on sunitinib exposure in patients with GIST
por: de Wit, Djoeke, et al.
Publicado: (2014) -
IL8 polymorphisms and overall survival in pazopanib- or sunitinib-treated patients with renal cell carcinoma
por: Xu, C-F, et al.
Publicado: (2015)