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Journal of Experimental & Clinical Cancer Research
Published in: Journal of Experimental & Clinical Cancer Research 1/2014

Open Access 01-12-2014 | Research

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

Authors: Jin Meng, Ping Li, Qing Zhang, Zhangru Yang, Shen Fu

Published in: Journal of Experimental & Clinical Cancer Research | Issue 1/2014

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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 risk score based on the expression signature of these lncRNAs, we separated the patients into low-risk and high-risk groups with significantly different survival times in the training set. This signature was validated in the other three cohorts. Further study revealed that the four-lncRNA expression signature was independent of age and subtype. Gene Set Enrichment Analysis (GSEA) suggested that gene sets were involved in several cancer metastasis related pathways.

Conclusions

These findings indicate that lncRNAs may be implicated in breast cancer pathogenesis. The four-lncRNA signature may have clinical implications in the selection of high-risk patients for adjuvant therapy.
Appendix
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Metadata
Title
A four-long non-coding RNA signature in predicting breast cancer survival
Authors
Jin Meng
Ping Li
Qing Zhang
Zhangru Yang
Shen Fu
Publication date
01-12-2014
Publisher
BioMed Central
Published in
Journal of Experimental & Clinical Cancer Research / Issue 1/2014
Electronic ISSN: 1756-9966
DOI
https://doi.org/10.1186/s13046-014-0084-7

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