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BMC Cancer. 2018 Jan 5;18(1):39. doi: 10.1186/s12885-017-3983-0.

A novel lncRNA-focus expression signature for survival prediction in endometrial carcinoma.

Author information

1
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China.
2
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. suncarajie@hotmail.com.

Abstract

BACKGROUND:

Endometrial cancer (UCEC) is a complex malignant tumor characterized by both genetic level and clinical trial. Patients with UCEC exhibit the similar clinical features, however, they have distinct outcomes due to molecular heterogeneity. The aim of this study was to access the prognostic value of long non-coding RNAs (lncRNAs) in UCEC patients and to identify potential lncRNA signature for predicting patients' survival and improving patient-tailored treatment.

METHODS:

We performed a comprehensive genome-wide analysis of lncRNA expression profiles and clinical data in a large cohort of 301 UCEC patients. UCEC patients were randomly divided into the discovery cohort (n = 150) and validation cohort (n = 151). A novel lncRNA-focus expression signature was identified in the discovery cohort, and independently accessed in the validation cohort. Additionally, the lncRNA signature was evaluated by multivariable Cox regression and stratification analysis as well as functional enrichment analysis.

RESULTS:

We detected a novel lncRNA-focus expression signature (LFES) consisting of 11 lncRNAs that were associated with survival based on risk scoring strategy in UCEC. The risk score based on the LFES was able to separate patients of discovery cohort into high-risk and low-risk groups with significantly different overall survival and progression-free survival, and has been successfully confirmed in the validation cohort. Furthermore, the LFES is an independent prognostic predictor of survival and demonstrates superior prognostic performance compared with the clinical covariates for predicting 5-year survival (AUC = 0.887). Functional analysis has linked the expression of prognostic lncRNAs to well-known tumor suppressor or ontogenetic pathways in endometrial carcinogenesis.

CONCLUSIONS:

Our study revealed a novel 11-lncRNA signature to predict survival of UCEC patient. This lncRNA signature may be a valuable and alternative marker for risk evaluation to aid patient-tailored treatment and improve the outcome of patients with UCEC.

KEYWORDS:

Endometrial cancer; Long non-coding RNAs; Signature; Survival

PMID:
29304762
PMCID:
PMC5756389
DOI:
10.1186/s12885-017-3983-0
[Indexed for MEDLINE]
Free PMC Article

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