Dataset Information
Giani2019 - Computational modeling to predict MAP3K8 effects as mediator of resistance to vemurafenib in thyroid cancer stem cells
Ontology highlight
ABSTRACT: Computational modeling to predict MAP3K8 effects as mediator of resistance to vemurafenib in thyroid cancer stem cells
ORGANISM(S): Homo sapiens
SUBMITTER: Lucian Smith
PROVIDER: MODEL1902140001 | biostudies-other |
SECONDARY ACCESSION(S): 30481266
REPOSITORIES: biostudies-other
Publications
Computational modeling reveals MAP3K8 as mediator of resistance to vemurafenib in thyroid cancer stem cells.
Bioinformatics (Oxford, England) 20190701 13
<h4>Motivation</h4>Val600Glu (V600E) mutation is the most common BRAF mutation detected in thyroid cancer. Hence, recent research efforts have been performed trying to explore several inhibitors of the V600E mutation-containing BRAF kinase as potential therapeutic options in thyroid cancer refractory to standard interventions. Among them, vemurafenib is a selective BRAF inhibitor approved by Food and Drug Administration for clinical practice. Unfortunately, vemurafenib often displays limited eff ...[more]
