Journal
CANCER BIOMARKERS
Volume 25, Issue 2, Pages 127-132Publisher
IOS PRESS
DOI: 10.3233/CBM-171026
Keywords
miR-1236-3p; biomarker; gastric cancer; diagnosis; prognosis
Categories
Funding
- Liaoning Province Science and Technology Plan Project [2013225021]
- Natural Science Foundation of Liaoning Province [201602817]
Ask authors/readers for more resources
BACKGROUND: The microRNA plays an important role in tumor progression. MiR-1236-3p acts as a tumor suppressor in various malignancies. OBJECTIVE: The aim of present study was to explore the expression of miR-1236-3p in gastric cancer (GC) and its correlation with clinicopathological features, and evaluate the feasibility of using it as a prognostic biomarker in GC. METHODS: Seventy-six pairs of tissue specimens were collected from GC patients. MiR-1236-3p expression level was detected by using qRT-PCR. The diagnostic value of miR-1236-3p was evaluated by receiver operating characteristic curve, and KaplanMeier method was used to analyze the overall survival. Prognosis analysis was performed using multivariate cox proportional hazards regression analysis. RESULTS: The expression of miR-1236-3p was significantly reduced in tumor tissues (P < 0.001). In addition, miR-12363p expression was correlated with TNM stage (P = 0.001), lymph node metastasis (P = 0.005) and differentiated degree (P = 0.001). The area under the curve was 0.7016, and its specificity and sensitivity were 60.53% and 73.68%. Kaplan-Meier survival curves showed that patients with high miR-1236-3p expression had better overall survival than those with low expression (P = 0.0190). Multivariate Cox regression analysis showed that the miR-1236-3p expression (P = 0.033) was an independent prognostic factor for overall survival of GC prognosis. CONCLUSIONS: The study showed that miR-1236-3p is downregulated in GC tissues, and low expression of miR-1236-3p is associated with a poor prognosis in GC. It may be a new diagnostic and prognostic biomarker for GC.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available