An eight-miRNA signature as a potential biomarker for predicting survival in lung adenocarcinoma

Lung adenocarcinoma is a heterogernous disease that creates challenges for classification and management. The purpose of this study is to identify specific miRNA markers closely associated with the survival of LUAD patients from a large dataset of significantly altered miRNAs, and to assess the prog...

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Bibliographic Details
Published in:Journal of translational medicine 2014-06, Vol.12 (1), p.159-159, Article 159
Main Authors: Li, Xuelian, Shi, Yunrui, Yin, Zhihua, Xue, Xiaoxia, Zhou, Baosen
Format: Article
Language:English
Subjects:
Adenocarcinoma - genetics
Adenocarcinoma - pathology
Aged
Analysis
Biomarkers
Biomarkers - metabolism
Cohort Studies
Female
Gene expression
Generalized linear models
Genomes
Humans
Lung cancer
Lung Neoplasms - genetics
Lung Neoplasms - pathology
Male
Medical research
Medicine, Experimental
Metastasis
MicroRNAs - genetics
Middle Aged
Mortality
Multivariate analysis
Physiological aspects
Public health
ROC Curve
Studies
Survival analysis
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Summary:Lung adenocarcinoma is a heterogernous disease that creates challenges for classification and management. The purpose of this study is to identify specific miRNA markers closely associated with the survival of LUAD patients from a large dataset of significantly altered miRNAs, and to assess the prognostic value of this miRNA expression profile for OS in patients with LUAD. We obtained miRNA expression profiles and corresponding clinical information for 372 LUAD patients from The Cancer Genome Atlas (TCGA), and identified the most significantly altered miRNAs between tumor and normal samples. Using survival analysis and supervised principal components method, we identified an eight-miRNA signature for the prediction of overall survival (OS) of LUAD patients. The relationship between OS and the identified miRNA signature was self-validated in the TCGA cohort (randomly classified into two subgroups: n = 186 for the training set and n = 186 for the testing set). Survival receiver operating characteristic (ROC) analysis was used to assess the performance of survival prediction. The biological relevance of putative miRNA targets was also analyzed using bioinformatics. Sixteen of the 111 most significantly altered miRNAs were associated with OS across different clinical subclasses of the TCGA-derived LUAD cohort. A linear prognostic model of eight miRNAs (miR-31, miR-196b, miR-766, miR-519a-1, miR-375, miR-187, miR-331 and miR-101-1) was constructed and weighted by the importance scores from the supervised principal component method to divide patients into high- and low-risk groups. Patients assigned to the high-risk group exhibited poor OS compared with patients in the low-risk group (hazard ratio [HR] = 1.99, P
ISSN:1479-5876
1479-5876
DOI:10.1186/1479-5876-12-159