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Dataset Information

A 19-Gene expression signature as a predictor of survival in colorectal cancer.


ABSTRACT:

Background

Histopathological assessment has a low potential to predict clinical outcome in patients with the same stage of colorectal cancer. More specific and sensitive biomarkers to determine patients' survival are needed. We aimed to determine gene expression signatures as reliable prognostic marker that could predict survival of colorectal cancer patients with Dukes' B and C.

Methods

We examined microarray gene expression profiles of 78 archived tissues of patients with Dukes' B and C using the Illumina DASL assay. The gene expression data were analyzed using the GeneSpring software and R programming.

Results

The outliers were detected and replaced with randomly chosen genes from the 90 % confidence interval of the robust mean for each group. We performed three st

SUBMITTER: Abdul Aziz NA 

PROVIDER: S-EPMC5016995 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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