Abstract

Aberrant expression of microRNAs (miRNAs or miRs) is associated with a number of human diseases, including lung cancer. Although numerous differentially expressed miRNAs have been identified in lung cancer via microarray and sequencing methods, to the best of our knowledge, only a small portion of these miRNAs have been experimentally verified. In the present study, miR-1301-3p expression levels in lung tumor tissues and lung cancer cells were measured by reverse transcription-quantitative PCR (RT-qPCR) and by analyzing previously published data. Cell Counting Kit-8 and Transwell assays were used to analyze the function of miR-1301-3p in lung cancer tissues and cells. Bioinformatics analysis, RT-qPCR, western blotting and a dual-luciferase reporter assay were performed to investigate the mechanism of miR-1301-3p in lung cancer cells. It was identified that miR-1301-3p is an upregulated miRNA in lung cancer via analyzing previously published microarray and The Cancer Genome Atlas-lung squamous cell carcinoma project data, and the upregulation of miR-1301-3p was confirmed in collected clinical samples and cells. Inhibition of miR-1301-3p suppressed lung cancer cell proliferation and migration. In addition, miR-1301-3p inhibition upregulated E-cadherin, an epithelial cell maker, and downregulated vimentin, a mesenchymal cell marker. Using bioinformatics analysis, it was revealed that polymerase I and transcript release factor (PTRF) is a target of miR-1301-3p. RT-qPCR, western blotting and dual-luciferase reporter assays demonstrated that PTRF is targeted by miR-1301-3p in lung cancer cells. The rescue experiments indicated that silencing PTRF could attenuate the inhibition of cell proliferation and migration induced by miR-1301-3p inhibitor in lung cancer cells. Furthermore, a strong negative correlation between miR-1301-3p and PTRF mRNA was identified in clinical samples. In summary, the present data highlight the involvement of miR-1301-3p in the proliferation and migration of lung cancer cells, indicating that miR-1301-3p may be a promising biomarker for lung cancer.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call