Oncotarget

Research Papers:

Comprehensive analysis of a novel four-lncRNA signature as a prognostic biomarker for human gastric cancer

Yan Miao, Jing Sui, Si-Yi Xu, Ge-Yu Liang, Yue-Pu Pu and Li-Hong Yin _

PDF  |  HTML  |  Supplementary Files  |  How to cite  |  Order a Reprint

Oncotarget. 2017; 8:75007-75024. https://doi.org/10.18632/oncotarget.20496

Metrics: PDF 1617 views  |   HTML 1853 views  |   ?  


Abstract

Yan Miao1,*, Jing Sui1,*, Si-Yi Xu1, Ge-Yu Liang1, Yue-Pu Pu1 and Li-Hong Yin1

1Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, P.R. China

*These authors have contributed equally to this work

Correspondence to:

Li-Hong Yin, email: lh.yin62@gmail.com

Keywords: lncRNA, GC, prognostic biomarker, overall survival, TCGA

Received: June 09, 2017     Accepted: July 26, 2017     Published: August 24, 2017

ABSTRACT

Emerging evidence indicates that long non-coding RNAs (lncRNAs) play a crucial role in predicting survival for gastric cancer (GC) patients. This study aims to identify a lncRNA-related signature for evaluating the overall survival of 379 GC patients from The Cancer Genome Atlas (TCGA) database. The associations between survival outcome and the expression of lncRNAs were evaluated by the univariate and multivariate Cox proportional hazards regression analyses. Four lncRNAs (LINC01018, LOC553137, MIR4435-2HG, and TTTY14) were identified as significantly correlated with overall survival. These four lncRNAs were gathered as a single prognostic signature. There was a significant positive correlation between GC patients with low-risk scores and overall survival (P = 0.001). Further analysis suggested that the prognostic value of this four-lncRNA signature was independent in clinical features. Gene set enrichment analysis found that these four lncRNAs were correlated with several molecular pathways of the tumor. Our study indicates that this novel lncRNA expression signature may be a useful biomarker of the prognosis for GC patients, based on bioinformatics analysis.


Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.
PII: 20496