Prognostic gene expression signature associated with two molecularly distinct subtypes of colorectal cancer.

ABSTRACT:

Aims

Despite continual efforts to develop prognostic and predictive models of colorectal cancer by using clinicopathological and genetic parameters, a clinical test that can discriminate between patients with good or poor outcome after treatment has not been established. Thus, the authors aim to uncover subtypes of colorectal cancer that have distinct biological characteristics associated with prognosis and identify potential biomarkers that best reflect the biological and clinical characteristics of subtypes.

Methods

Unsupervised hierarchical clustering analysis was applied to gene expression data from 177 patients with colorectal cancer to determine a prognostic gene expression signature. Validation of the signature was sought in two independent patient groups. The associa

SUBMITTER: Oh SC 

PROVIDER: S-EPMC3419333 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature