Predicting targeted drug combinations based on Pareto optimal patterns of coexpression network connectivity.

ABSTRACT:

Background

Molecularly targeted drugs promise a safer and more effective treatment modality than conventional chemotherapy for cancer patients. However, tumors are dynamic systems that readily adapt to these agents activating alternative survival pathways as they evolve resistant phenotypes. Combination therapies can overcome resistance but finding the optimal combinations efficiently presents a formidable challenge. Here we introduce a new paradigm for the design of combination therapy treatment strategies that exploits the tumor adaptive process to identify context-dependent essential genes as druggable targets.

Methods

We have developed a framework to mine high-throughput transcriptomic data, based on differential coexpression and Pareto optimization, to investigate drug-

SUBMITTER: Penrod NM 

PROVIDER: S-EPMC4062052 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature