Quantitative scoring of differential drug sensitivity for individually optimized anticancer therapies.

ABSTRACT: We developed a systematic algorithmic solution for quantitative drug sensitivity scoring (DSS), based on continuous modeling and integration of multiple dose-response relationships in high-throughput compound testing studies. Mathematical model estimation and continuous interpolation makes the scoring approach robust against sources of technical variability and widely applicable to various experimental settings, both in cancer cell line models and primary patient-derived cells. Here, we demonstrate its improved performance over other response parameters especially in a leukemia patient case study, where differential DSS between patient and control cells enabled identification of both cancer-selective drugs and drug-sensitive patient sub-groups, as well as dynamic monitoring of the response

SUBMITTER: Yadav B 

PROVIDER: S-EPMC4046135 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature