PO-375 Analysis of miRNA expression in non-small cell lung cancer

Abstract

Introduction MicroRNAs (MiRNAs) can help understanding the carcinogenesis of lung cancer and serve as potential diagnostic biomarkers for differentiating adenocarcinoma (ADC) and squamous cell lung carcinoma (SCC). The aim of the present study is to analyse and compare the expression patterns of miR-21, miR-197, miR-205, miR-375, miR-495 in ADC and SCC samples. Material and methods Fresh frozen tissue samples from 50 non-small cell lung cancer (NSCLC) patients (25ADC, 25SCC) and adjacent normal tissues were examined. The expression of miR-21, miR-197, miR-205, miR-375, miR-495 were evaluated by RT-qPCR. The statistical analysis was performed by SPSSv20. Results and discussions We found overexpression of: miR-21 in 60% (12ADC and 18SCC), miR-205 in 62% (13ADC and 18SCC), miR-197 in 14% (5ADC and 2SCC), miR-375 in 30% (11ADC and 4SCC) and miR-495 in 40% (13ADC and 7SCC) of the samples. The following miRNAs demonstrated decreased expression: miR-21 in 10% (5ADC and 5SCC), miR-205 in 10% (7ADC and 3SCC), miR-197 in 42% (11ADC and 10SCC), miR-375 in 42% (6ADC and 15SCC) and miR-495 in 30% (9ADC and 6SCC) of the tumours. Statistically significant (p ROC analysis was performed for distinguishing ADC from SCC. Only miR-205 (AUC=0,672, p=0,036) and miR-375 (AUC=0,692, p=0,019) showed statistically significant results independently. The combination of these two miRNAs (AUC=0,771; p=0,001) could distinguish between ADC and SCC with 80% sensitivity and 76% specificity. With the same sensitivity and specificity the combination of miR-205 and miR-375 and miR-495 (AUC=0,776; p=0,001) and the combination of miR-205 and miR-197 and miR-375 (AUC=0,774; p=0,001) could also discriminate between ADC and SCC. Conclusion It has been suggested that miR-205 appeared to be a promising diagnostic biomarker for SCC. Our results show that different panels of miRNAs including miR-205, have better potential to discriminate between ADC and SCC. However further analysis of enlarged sample is necessary to ascertain their diagnostic potential in NSCLC. Acknowledgements This work was supported by Grants №D-138/Contract №8554/12.12.2016/MU-Sofia;DUNK01/2/2009/NSF.