The impact of pharmacokinetic gene profiles across human cancers.

ABSTRACT:

Background

The right drug to the right patient at the right time is one of the ideals of Individualized Medicine (IM) and remains one of the most compelling promises of the post-genomic age. The addition of genomic information is expected to increase the precision of an individual patient's treatment, resulting in improved outcomes. While pilot studies have been encouraging, key aspects of interpreting tumor genomics information, such as somatic activation of drug transport or metabolism, have not been systematically evaluated.

Methods

In this work, we developed a simple rule-based approach to classify the therapies administered to each patient from The Cancer Genome Atlas PanCancer dataset (n = 2858) as effective or ineffective. Our Therapy Efficacy model used each patient'

SUBMITTER: Zimmermann MT 

PROVIDER: S-EPMC5963084 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature