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MicroRNA Signature in Papillary Thyroid Cancer; A Novel Diagnostic Panel


 Background

Detection of cancer in patients with thyroid nodule requires sensitive and specific diagnostic modalities that are accurate and inexpensive. The aim of this study was to identify potential microRNA panel to detect papillary thyroid carcinoma (PTC).
Method:

Following conducting differential expression analysis on stage 1 PTC and normal tissues available in TCGA, Real-time PCR was used to quantify the expression of candidate miRNAs in 59 tissue specimens from 30 patients with PTC and 29 patients with benign nodules. A receiver operating characteristic (ROC) curve analysis was used to access accuracy of miRNA expression levels compared to the pathology report as the gold standard.
Results

There was a significant difference between tissue expression level of miR-9, miR-20b, miR-222 and miR-221 in the PTC group Compared with non-PTC (P value < 0.05). The area under the curves were 1, 0.98, o.99, 0.98 and 1 irrespectively
Conclusion

A panel of miRNA including miR-20b, miR-222, miR-221 and miR-9 expression could be used as a useful to differentiate PTC from benign nodules.