Cargando…
Predicting response to pembrolizumab in metastatic melanoma by a new personalization algorithm
BACKGROUND: At present, immune checkpoint inhibitors, such as pembrolizumab, are widely used in the therapy of advanced non-resectable melanoma, as they induce more durable responses than other available treatments. However, the overall response rate does not exceed 50% and, considering the high cos...
Autores principales: | Tsur, Neta, Kogan, Yuri, Avizov-Khodak, Evgenia, Vaeth, Désirée, Vogler, Nils, Utikal, Jochen, Lotem, Michal, Agur, Zvia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781362/ https://www.ncbi.nlm.nih.gov/pubmed/31590677 http://dx.doi.org/10.1186/s12967-019-2081-2 |
Ejemplares similares
-
Extracellular inhibitors can attenuate tumorigenic Wnt pathway activity in adenomatous polyposis coli mutants: Predictions of a validated mathematical model
por: Hochman, Gili, et al.
Publicado: (2017) -
Organizing pneumonia following treatment with pembrolizumab for metastatic malignant melanoma – A case report
por: Kuint, R., et al.
Publicado: (2017) -
The resonance phenomenon in population persistence: can the same theory guide both national security policies and personalized medicine?
por: Agur, Zvia
Publicado: (2014) -
Systemic Therapy of Non-Resectable Metastatic Melanoma
por: Orouji, Azadeh, et al.
Publicado: (2010) -
Predicting Outcomes of Prostate Cancer Immunotherapy by Personalized Mathematical Models
por: Kronik, Natalie, et al.
Publicado: (2010)