A network modeling approach to elucidate drug resistance mechanisms and predict combinatorial drug treatments in breast cancer.

ABSTRACT:

Background

Mechanistic models of within-cell signal transduction networks can explain how these networks integrate internal and external inputs to give rise to the appropriate cellular response. These models can be fruitfully used in cancer cells, whose aberrant decision-making regarding their survival or death, proliferation or quiescence can be connected to errors in the state of nodes or edges of the signal transduction network.

Results

Here we present a comprehensive network, and discrete dynamic model, of signal transduction in ER+ breast cancer based on the literature of ER+, HER2+, and PIK3CA-mutant breast cancers. The network model recapitulates known resistance mechanisms to PI3K inhibitors and suggests other possibilities for resistance. The model also reveals know

SUBMITTER: Gomez Tejeda Zanudo J 

PROVIDER: S-EPMC5876695 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature