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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 | 2019-12-06

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]

PMID: 30481266

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