Detail
Experiment ID:
EXP00074
Reference:
- Title: MicroRNA classifiers for predicting prognosis of squamous cell lung cancer.
- Author: Raponi M, Dossey L, Jatkoe T, Wu X, Chen G, Fan H, Beer DG
- Journal: Cancer research.2009 Jul 15;69(14):5776-83.doi:10.1158/0008-5472.CAN-09-0587.
- Abstract: Non-small cell lung cancer (NSCLC), which is comprised mainly of adenocarcinoma and squamous cell carcinoma (SCC), is the cause of 80% of all lung cancer deaths in the United States. NSCLC is also associated with a high rate of relapse after clinical treatment and, therefore, requires robust prognostic markers to better manage therapy options. The aim of this study was to identify microRNA (miRNA) expression profiles in SCC of the lung that would better predict prognosis. Total RNA from 61 SCC samples and 10 matched normal lung samples was processed for small RNA species and profiled on MirVana miRNA Bioarrays (version 2, Ambion). We identified 15 miRNAs that were differentially expressed between normal lung and SCC, including members of the miR-17-92 cluster and its paralogues. We also identified miRNAs, including miR-155 and let-7, which had previously been shown to have prognostic value in adenocarcinoma. Based on cross-fold validation analyses, miR-146b alone was found to have the strongest prediction accuracy for stratifying prognostic groups at approximately 78%. The miRNA signatures were superior in predicting overall survival than a previously described 50-gene prognostic signature. Whereas there was no overlap between the mRNAs targeted by the prognostic miRNAs and the 50-gene expression signature, there was a significant overlap in the corresponding biological pathways, including fibroblast growth factor and interleukin-6 signaling. Our data indicate that miRNAs may have greater clinical utility in predicting the prognosis of patients with squamous cell lung carcinomas than mRNA-based signatures.
- PMID: 19584273
Expression Profile:
- Description:miRNA prognostic profiles in lung cancer
- Organism:Homo sapiens
- Source:GEO
- Source ID:GSE16025
- Platform: GPL5106
- Number of samples:71
- Overall design:Total RNA from 61 SCC samples and 10 matched normal lung samples was processed for small RNA species and profiled on MirVana miRNA Bioarrays (version 2, Ambion).
- Instrument:mirVANA miRNA Bioarray V2
Design and Sample:
- Cancer Type:lung cancer
- Cancer SubType:lung squamous cell carcinoma
- Cell Line:N/A
- Experimental Design:cancer vs normal
- Case Sample:lung squamous cell carcinoma stage III
- Control Sample:normal lung
- Num of Case:12
- Num of Control:10
- Quantification Software:Limma
- Num of miRNAs:328
Identification:
- Num of Up:50
- Num of Down:66
Time Info:
- Create Time2016-03-14
- Update Time:2021-05-27
Status:
| miRNA ID | Cancer Type | Design | logFC | AveExpr | T value | P value | adj Pvalue | Status | Plot |
|---|