Meta‐analysis of microRNA expression in lung cancer

The prognostic and diagnostic value of microRNA (miRNA) expression aberrations in lung cancer has been studied intensely in recent years. However, due to the application of different technological platforms and small sample size, the miRNA expression profiling efforts have led to inconsistent result...

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Bibliographic Details
Published in:International journal of cancer Vol. 132; no. 12; pp. 2884 - 2893
Main Authors: Võsa, Urmo, Vooder, Tõnu, Kolde, Raivo, Vilo, Jaak, Metspalu, Andres, Annilo, Tarmo
Format: Journal Article
Language:English
Published: Hoboken Wiley Subscription Services, Inc., A Wiley Company 15.06.2013
Wiley-Blackwell
Wiley Subscription Services, Inc
Subjects:
Biological and medical sciences
Biomarkers, Tumor
Cancer
Cluster Analysis
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
gene set enrichment analysis
Humans
Lung cancer
Lung Neoplasms - genetics
Lung Neoplasms - metabolism
Medical research
Medical sciences
Meta-analysis
microRNA
MicroRNAs
MicroRNAs - genetics
Multiple tumors. Solid tumors. Tumors in childhood (general aspects)
Pneumology
Signal Transduction
Tumors
Tumors of the respiratory system and mediastinum
Human
Lung disease
RNA interference
Respiratory disease
Lung cancer
Evidence-based practice
Micro RNA
meta-analysis
Malignant tumor
Evidence-based medicine
Metaanalysis
Gene silencing
Cancerology
Gene
Genetics
Bronchus disease
microRNA
gene set enrichment analysis
Cancer
ISSN:0020-7136, 1097-0215, 1097-0215
Online Access:Get full text
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Summary:The prognostic and diagnostic value of microRNA (miRNA) expression aberrations in lung cancer has been studied intensely in recent years. However, due to the application of different technological platforms and small sample size, the miRNA expression profiling efforts have led to inconsistent results between the studies. We performed a comprehensive meta‐analysis of 20 published miRNA expression studies in lung cancer, including a total of 598 tumor and 528 non‐cancerous control samples. Using a recently published robust rank aggregation method, we identified a statistically significant miRNA meta‐signature of seven upregulated (miR‐21, miR‐210, miR‐182, miR‐31, miR‐200b, miR‐205 and miR‐183) and eight downregulated (miR‐126‐3p, miR‐30a, miR‐30d, miR‐486‐5p, miR‐451a, miR‐126‐5p, miR‐143 and miR‐145) miRNAs. We conducted a gene set enrichment analysis to identify pathways that are most strongly affected by altered expression of these miRNAs. We found that meta‐signature miRNAs cooperatively target functionally related and biologically relevant genes in signaling and developmental pathways. We have shown that such meta‐analysis approach is suitable and effective solution for identification of statistically significant miRNA meta‐signature by combining several miRNA expression studies. This method allows the analysis of data produced by different technological platforms that cannot be otherwise directly compared or in the case when raw data are unavailable. What's new? The prognostic and diagnostic value of microRNA (miRNA) expression aberrations in lung cancer has been studied intensely in recent years. However, due to the application of different technological platforms and small sample size, the miRNA expression profiling efforts have led to inconsistent results. Using a meta‐analysis of more than 1100 lung cancer and non‐cancerous samples from 20 original studies, here the authors have identified a meta‐signature of seven up‐ and eight down‐regulated miRNAs. Their analysis highlights the challenges related with the development of miRNA‐based tests and emphasizes the need for rigorous evaluation of the results before proceeding to clinical trials.
Bibliography:UV carried out data analysis and drafted the manuscript, TV participated in data collection and analysis, RK and JV helped to design the study and analyze the data, AM participated in the design of the study and helped to draft the manuscript, TA conceived of the study, and participated in its design and coordination and drafted the manuscript. All authors read and approved the final manuscript.
Conflict of interest: The authors declare that they have no competing interests.
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ISSN:0020-7136
1097-0215
1097-0215
DOI:10.1002/ijc.27981