TY - JOUR
T1 - Computational modeling reveals MAP3K8 as mediator of resistance to vemurafenib in thyroid cancer stem cells
AU - Gianì, Fiorenza
AU - Russo, Giulia
AU - PENNISI, MARZIO ALFIO
AU - Sciacca, Laura
AU - Frasca, Francesco
AU - Pappalardo, Francesco
N1 - Publisher Copyright:
© The Author(s) 2018. Published by Oxford University Press. All rights reserved.
PY - 2019
Y1 - 2019
N2 - 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 FDA for clinical practice. Unfortunately, vemurafenib often displays limited efficacy in poorly differentiated and anaplastic thyroid carcinomas probably because of intrinsic and/or acquired resistance mechanisms. In this view, cancer stem cells may represent a possible mechanism of resistance to vemurafenib, due to their self-renewal and chemo resistance properties.
AB - 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 FDA for clinical practice. Unfortunately, vemurafenib often displays limited efficacy in poorly differentiated and anaplastic thyroid carcinomas probably because of intrinsic and/or acquired resistance mechanisms. In this view, cancer stem cells may represent a possible mechanism of resistance to vemurafenib, due to their self-renewal and chemo resistance properties.
UR - https://iris.uniupo.it/handle/11579/114029
U2 - 10.1093/bioinformatics/bty969
DO - 10.1093/bioinformatics/bty969
M3 - Article
SN - 1367-4803
VL - 35
SP - 2267
EP - 2275
JO - Bioinformatics
JF - Bioinformatics
IS - 13
ER -