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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| Veröffentlicht in: | International journal of cancer Jg. 132; H. 12; S. 2884 - 2893 |
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| Hauptverfasser: | , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
15.06.2013
Wiley-Blackwell Wiley Subscription Services, Inc |
| Schlagworte: | |
| ISSN: | 0020-7136, 1097-0215, 1097-0215 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | 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. |
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| Bibliographie: | 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. Tel.: +372‐737‐5882, Fax: +372‐742‐0286 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 0020-7136 1097-0215 1097-0215 |
| DOI: | 10.1002/ijc.27981 |