BACKGROUND: Increasing studies have identified a series of circulating mircoRNAs (miRNAs) as biomarkers for disease detection due to their stability in the blood. The aim of the present study was to identify specific plasma miRNAs as potential biomarkers for nasopharyngeal carcinoma (NPC) detection. MATERIALS AND METHODS: Relative public microarray data were obtained and analyzed for screening of the plasma differentially expressed miRNAs (DEMs) between NPC patients and controls. This study contained two phases: a screening phase and a validation one. Logistic regression and receiver operating characteristics curve (ROC) analyses were used to identify DEM signatures. Moreover, targeted genes of the selected DEMs were predicted and their functions were annotated by using bioinformatic analysis. RESULTS: Both the screening and the validation phases showed that three miRNAs (miR-548q, miR-630 and miR-940) in the plasma of NPC patients were up-regulated compared to those of controls. They can be used as biomarkers for discriminating NPC patients from non-cancerous controls. Moreover, we found a classifier including only two miRNAs (miR-548q and miR-940) that can be used as a diagnostic signature for NPC, achieving an area under curve (AUC) of 0.972, a sensitivity of 0.94, and a specificity of 0.925. CONCLUSIONS: The present study demonstrated that three miRNAs (miR-548q, miR-630 and miR940) might be novel and useful biomarkers for NPC detection. A two-miRNA signature (miR-548q and miR940) may be considered as a better biomarker for NPC detection with relatively high sensitivity and specificity. Future studies with large sample sizes are needed for further validation.