[Abstract] Objective: To investigate the expression and clinical significance of long non-coding RNA (lncRNA) HOTTIP in tissues of patients with endometrial carcinoma. Methods: A total of 109 cases of patients with endometrial carcinoma who underwent surgery in Xingxiang Central Hospital from April 2012 to April 2014 were selected. The endometrial carcinoma tissue and its corresponding adjacent tissue (more than 5 cm from the cancer margin) were obtained. The expressions of HOTTIP in endometrial carcinoma and adjacent tissues were detected by qRT-PCR. All patients were followed up from the first postoperative day. The follow-up deadline was April 30, 2019. The end-point event was death and the patient's survival time was recorded. Results: The relative expression level of HOTTIP in endometrial carcinoma tissues was (2.55±0.21), which was higher than that in the adjacent tissue (1.03±0.16) (t=60.631, P<0.01). The differences of the relative expression levels of HOTTIP in endometrial carcinoma tissues between different FIGO stage, histological grade, depth of myometrial invasion, lymphatic vascular infiltration status and lymph node metastasis were statistically significant (all P<0.05). Kaplan-Meier survival analysis showed that the 5-year survival rate and the survival time in the low expression group were higher than those in the high expression group [78.57% vs 37.04%, (70.67±4.94) months vs (42.14±3.65) months], the difference was statistically significant (χ2=12.839, P<0.01). Cox proportional hazards regression model analysis showed that the FIGO stage [HR=2.248 (95%CI: 1.034-4.887)], myometrial invasion depth [HR=3.055 (95%CI: 1.668-5.592)], lymph node metastasis [HR=3.811 (95%CI: 1.786-8.131)] and the expression of HOTTIP [HR=2.649 (95%CI: 1.026-6.842)] were all independent influence factors for the prognosis of patients with endometrial carcinoma. Conclusion: lncRNA HOTTIP is highly expressed in endometrial carcinoma tissues and associated with malignant progression of patients. It is an independent influencing factor for patients’ prognosis.