Subtypes of primary colorectal tumors correlate with response to targeted treatment in colorectal cell lines.

ABSTRACT:

Background

Colorectal cancer (CRC) is a heterogeneous and biologically poorly understood disease. To tailor CRC treatment, it is essential to first model this heterogeneity by defining subtypes of patients with homogeneous biological and clinical characteristics and second match these subtypes to cell lines for which extensive pharmacological data is available, thus linking targeted therapies to patients most likely to respond to treatment.

Methods

We applied a new unsupervised, iterative approach to stratify CRC tumor samples into subtypes based on genome-wide mRNA expression data. By applying this stratification to several CRC cell line panels and integrating pharmacological response data, we generated hypotheses regarding the targeted treatment of different subtypes.

R

SUBMITTER: Schlicker A 

PROVIDER: S-EPMC3543849 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature