Background: Hepatocellular carcinoma (HCC) is a major worldwide health concern and is the third leading cause of cancer death. Recent studies have focused on the association between long non-coding RNAs (lncRNAs) and cancer, lncRNAs showed to have an important role in the prognosis, diagnostic, and investigation of liver cancer. Therefore, this study focuses on the expression profiles of HOTAIR, MALAT1, and UCA1 lncRNAs considering the clinicopathological characteristics of patients with liver tumors. Methods and Results: The expression profiles of HOTAIR, MALAT1, and UCA1 lncRNAs were evaluated using qRT-PCR in the paired liver tumor and the adjacent non-tumor samples. After RNA extraction from tissue samples, cDNA synthesis and the RT-qPCR method were performed. Livak method (2-ΔΔCt) was used for calculating the expression level of lncRNAs. Principal-component analyses followed by receiver operating characteristic (ROC) curve analyses were performed to evaluate the diagnostic potential of the selected lncRNAs. Our results showed that HOTAIR, MALAT1, and UCA1 were overexpressed significantly in patients with liver cancer compared to the healthy groups (P < 0.001). Moreover, the expression of HOTAIR was enhanced significantly compared to the expression of MALAT1 and UCA1 in patients with liver cancer (P < 0.001). This study showed that there were no significant associations between lncRNAs expression and the clinical characteristics (P > 0.05). Significantly elevated circulating lncRNAs were found to be liver cancer-specific and showed differentiation of liver cancer samples from the controls. Kaplan-Meier analysis revealed no significant correlations between the lncRNAs expression and overall survival. Conclusion: Based on our findings, the studied lncRNAs were not correlated with clinicopathological characteristics of the liver cancer patients although the overexpression of these lncRNAs might provide novel molecular biomarkers in HCC cases.