A four-long non-coding RNA signature in predicting breast cancer survival.

ABSTRACT:

Background

Many long non-coding RNAs(lncRNAs) have been found to be a good marker for several tumors. Using lncRNA-mining approach, we aimed to identify lncRNA expression signature that can predict breast cancer patient survival.

Methods

We performed LncRNA expression profiling in 887 breast cancer patients from Gene Expression Omnibus (GEO) datasets. The association between lncRNA signature and clinical survival was analyzed using the training set(n = 327, from GSE 20685). The validation for the association was performed in another three independent testing sets(252 from GSE21653, 204 from GSE12276, and 104 from GSE42568).

Results

A set of four lncRNA genes (U79277, AK024118, BC040204, AK000974) have been identified by the random survival forest algorithm. Using a ri

SUBMITTER: Meng J 

PROVIDER: S-EPMC4198622 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature