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Giani2019 - Computational modeling to predict MAP3K8 effects as mediator of resistance to vemurafenib in thyroid cancer stem cells


ABSTRACT: Computational modeling to predict MAP3K8 effects as mediator of resistance to vemurafenib in thyroid cancer stem cells

SUBMITTER: Francesco Pappalardo  

PROVIDER: BIOMD0000000883 | BioModels | 2024-09-02

REPOSITORIES: BioModels

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Computational modeling reveals MAP3K8 as mediator of resistance to vemurafenib in thyroid cancer stem cells.

Gianì Fiorenza F   Russo Giulia G   Pennisi Marzio M   Sciacca Laura L   Frasca Francesco F   Pappalardo Francesco F  

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]

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