Analysis of circulating long non-coding RNA UCA1 as potential biomarkers for diagnosis and prognosis of osteosarcoma.

OBJECTIVE: The aim of this investigation was to examine the potential usefulness of long non-coding RNA UCA1 (UCA1) as a biomarker for diagnosis and prognosis in osteosarcoma.

PATIENTS AND METHODS: The expression level of UCA1 was determined using TaqMan real-time PCR in human osteosarcoma tissues and patients' sera. Next, we investigated to clarify the relationship of UCA1 with clinicopathological features. The receiver operating characteristic (ROC) curve was performed to estimate the diagnostic value of UCA1. Finally, the prognosis of patients with osteosarcoma was assessed by Kaplan-Meier method and Cox proportional hazards model.

RESULTS: We observed that UCA1 was significantly increased in osteosarcoma tissue compared with normal bone tissue (p<0.001) and the serum expression of UCA1 was significantly higher in patients with osteosarcoma than that in healthy controls (p<0.01). Up-regulation of UCA1 was correlated with clinical stage (p=0.001) and metastasis (p=0.007). Furthermore, serum UCA1 levels were observed to be robust in differentiating osteosarcoma patients from control subjects [area under the curve (AUC) = 0.831; 95% confidence interval (CI)= 0.746 to 0.916]. Kaplan-Meier analysis showed that that high UCA1 expression level was associated with poorer overall survival (p<0.001) and disease-free survival (p<0.001). Finally, Cox regression analyses showed that UCA1 expression might be an independent prognostic parameter to predict poor prognosis.

CONCLUSIONS: Our study firstly showed that UCA1 could be a specific and noninvasive candidate biomarker for the diagnosis and prognosis of UCA1.