Premium
Perturbing resistance: a network perspective
Author(s) -
Levesque Mitchell P.,
Dummer Reinhard,
Beerenwinkel Niko
Publication year - 2016
Publication title -
pigment cell and melanoma research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.618
H-Index - 105
eISSN - 1755-148X
pISSN - 1755-1471
DOI - 10.1111/pcmr.12431
Subject(s) - perspective (graphical) , resistance (ecology) , computational biology , biology , computer science , artificial intelligence , ecology
The recent convergence of high-dimensional molecular datasets with small-molecule inhibitor pipelines allows for selective targeting of aberrantly regulated pathways in many cancer types. But intra-tumor heterogeneity, paradoxical activation, intrinsic or acquired therapeutic resistance, and non-linear pathway interactions confound most simple targeting strategies(Widmer et al., 2015). For instance, MAPK signaling is activated by hot-spot mutations in BRAF, which are found in about 40-50% of melanoma cases. This article is protected by copyright. All rights reserved