Cargando…
Deactivation of ligand-receptor interactions enhancing lymphocyte infiltration drives melanoma resistance to Immune Checkpoint Blockade
Immune checkpoint blockade (ICB) is a promising cancer therapy; however, resistance often develops. To learn more about ICB resistance mechanisms, we developed IRIS (Immunotherapy Resistance cell-cell Interaction Scanner), a machine learning model aimed at identifying candidate ligand-receptor inter...
Autores principales: | Sahni, Sahil, Wang, Binbin, Wu, Di, Dhruba, Saugato Rahman, Nagy, Matthew, Patkar, Sushant, Ferreira, Ingrid, Wang, Kun, Ruppin, Eytan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602042/ https://www.ncbi.nlm.nih.gov/pubmed/37886558 http://dx.doi.org/10.1101/2023.09.20.558683 |
Ejemplares similares
-
Functional random forest with applications in dose-response predictions
por: Rahman, Raziur, et al.
Publicado: (2019) -
Immunoproteasome expression is associated with better prognosis and response to checkpoint therapies in melanoma
por: Kalaora, Shelly, et al.
Publicado: (2020) -
Recursive model for dose-time responses in pharmacological studies
por: Dhruba, Saugato Rahman, et al.
Publicado: (2019) -
Application of transfer learning for cancer drug sensitivity prediction
por: Dhruba, Saugato Rahman, et al.
Publicado: (2018) -
Decoupling the correlation between cytotoxic and exhausted T lymphocyte transcriptomic signatures enhances melanoma immunotherapy response prediction from tumor expression
por: Wang, Binbin, et al.
Publicado: (2023)