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Decreased miR-503 expression in gastric cancer is inversely correlated with serum carcinoembryonic antigen and acts as a potential prognostic and diagnostic biomarker

Authors Wu D, Cao G, Huang Z, Jin K, Hu H, Yu J, Zeng Y

Received 4 June 2016

Accepted for publication 25 August 2016

Published 23 December 2016 Volume 2017:10 Pages 129—135


Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Colin Mak

Peer reviewer comments 2

Editor who approved publication: Dr William Cho

Daoyi Wu, Gaojian Cao, Zhenfeng Huang, Kai Jin, Haowei Hu, Jie Yu, Yu Zeng

Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Ruian, People’s Republic of China

Background: Altered expression of miR-503 has been linked to human carcinogenesis. In this present study, we aimed to detect the potential for miR-503 as a novel biomarker for gastric cancer (GC) patients.
Materials and methods: The relative mRNA level of miR-503 in serum and tissue of 68 GC patients and serum of 32 healthy volunteers was determined by real-time reverse transcription quantitative polymerase chain reaction.
Results: The miR-503 level was significantly lower in the tissue and serum of GC than their counterparts (all P<0.01). Downregulation of miR-503 was found to be corrected with more aggressive tumor. Patients in the high-miR-503 group showed significantly better overall survival compared to the low-miR-503 group (P=0.021). The serum miR-503 level in GC was inversely correlated with carcinoembryonic antigen (CEA) (r=−0.624, P<0.001). Furthermore, the area under the receiver operating characteristic curve for miR-503 discriminating GC patients from healthy individuals was 0.889 (P=0.006), with a sensitivity of 96.8% and a specificity of 79.4%, higher than that of CEA (area under the receiver operating characteristic curve =0.681, P=0.048).
Conclusion: The present study suggests that the expression level of miR-503 may serve as prognostic and diagnostic biomarker for GC.

microRNA, gastric cancer, diagnosis, prognosis, biomarker

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