Identification of a serum circulating IncRNA panel for the diagnosis and recurrence prediction of bladder cancer

Accumulating evidence indicates that long non-coding RNAs (IncRNAs) play important roles in tumorigenesis and progression. We aimed to identify a panel of IncRNAs for the diagnosis and recurrence prediction in bladder cancer (BC). The expression of 13 candidate IncRNAs was investigated in 80 BC and matched adjacent normal tissues via quantitative real-time PCR. The differentially expressed IncRNAs were then analyzed in 240 serum samples (training set) and three IncRNAs (MEG3, SNHG16 and MALAT1) showed differential expression. A logistic regression model was constructed using the training set and validated in an independent cohort of 200 serum samples (validation set). The AUC of the three-IncRNA panel was 0.865 for the training and 0.828 for the validation set. The diagnostic performance of the IncRNA panel for Ta, T1, and T2-T4 were 0.778, 0.805, and 0.880, which were significantly higher than those of urine cytology (0.548, 0.604, and 0.682, respectively). Moreover, we determined that low expression of MEG3 was associated with poor recurrence-free survival by Kaplan-Meier analysis (p = 0.028), univariate Cox analysis (p = 0.033) and multivariate Cox analysis (p = 0.046). In conclusion, our results identified a three-IncRNA panel for BC diagnosis and a recurrence-independent prognostic factor, MEG3.