A method for predicting target drug efficiency in cancer based on the analysis of signaling pathway activation.

ABSTRACT: A new generation of anticancer therapeutics called target drugs has quickly developed in the 21st century. These drugs are tailored to inhibit cancer cell growth, proliferation, and viability by specific interactions with one or a few target proteins. However, despite formally known molecular targets for every "target" drug, patient response to treatment remains largely individual and unpredictable. Choosing the most effective personalized treatment remains a major challenge in oncology and is still largely trial and error. Here we present a novel approach for predicting target drug efficacy based on the gene expression signature of the individual tumor sample(s). The enclosed bioinformatic algorithm detects activation of intracellular regulatory pathways in the tumor in comparison to the

SUBMITTER: Artemov A 

PROVIDER: S-EPMC4745731 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature