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Dataset Information

Predicting Response to Histone Deacetylase Inhibitors Using High-Throughput Genomics.


ABSTRACT:

Background

Many disparate biomarkers have been proposed as predictors of response to histone deacetylase inhibitors (HDI); however, all have failed when applied clinically. Rather than this being entirely an issue of reproducibility, response to the HDI vorinostat may be determined by the additive effect of multiple molecular factors, many of which have previously been demonstrated.

Methods

We conducted a large-scale gene expression analysis using the Cancer Genome Project for discovery and generated another large independent cancer cell line dataset across different cancers for validation. We compared different approaches in terms of how accurately vorinostat response can be predicted on an independent out-of-batch set of samples and applied the polygenic marker prediction

SUBMITTER: Geeleher P 

PROVIDER: S-EPMC4643634 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature