Investigation of relationship between precursor of miRNA-944 and its mature form in lung squamous-cell carcinoma - the diagnostic value

Publication date: Available online 10 January 2018
Source:Pathology - Research and Practice
Author(s): Tomasz Powrózek, Radosław Mlak, Marcin Dziedzic, Teresa Małecka-Massalska, Dariusz Sagan
IntroductionMicroRNA (miRNA) are attractive markers of lung cancer, due to their regulatory role in cell cycle. However, we know more about function of miRNA in cancer development, there is still little known about role of their precursors (primary miRNA; pri-miRNA) in tumorgenesis. In present study we investigated potential role of miRNA-944 and its precursor pri-miRNA-944 in development of squamous-cell lung cancer (SCC) and explored interdependence between miRNA precursor and its mature form. This is a first available literature report analyzing pri-miRNA as a cancer diagnostic marker.Material and methodsExpression of miRNA-944 and its precursor was analyzed in 58 fresh-frozen tissues of non-small cell lung cancer and corresponding adjacent non-cancerous tissues using qRT-PCR. Expression of pri-miRNA-944 was correlated with TP63 and miRNA-944. Using ROC analysis diagnostic accuracy of studied markers was evaluated.ResultsmiRNA-944 and its precursor were significantly overexspressed in SCC compared to adenocarcinoma (AC) and non-cancerous tissue. pri-miRNA-944 strongly and positively correlated with TP63 (r = 0.739, p < 0.001) and with mature miRNA-944 expression (r = 0.691, p < 0.001). Also, TP63 expression significantly correlated with mature miRNA (r = 0.785, p < 0.001). Combined analysis of pri-miRNA-944 and mature miRNA-944 allowed to distinguish SCC tissue form AC with sensitivity of 93.3% and specificity of 100% (AUC = 0.978), and SCC from non-cancerous tissue with 92.9% sensitivity and 100% specificity (AUC = 0.992).ConclusionWe assumed that pri-miRNA-944 and miRNA-944 may be involved in early squamous-type differentiation of lung tumors. Moreover, analysis of both markers provided high diagnostic accuracy for SCC detection.



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