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Article type: Research Article
Authors: Zheng, Shuaiyu* | Zhang, Xiaojin | Wang, Xian | Li, Jiyuan
Affiliations: The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, Henan, China
Correspondence: [*] Corresponding author: Shuaiyu Zheng, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, No 24, Jinghua Road, Luoyang 471003, Henan, China. Tel.: +86 379 64830604; E-mail: syzhenghaust@yahoo.com.
Abstract: BACKGROUND: MicroRNAs (miRNAs) have been proven to be critical players in many different types of tumors including esophageal squamous cell carcinoma (ESCC). OBJECTIVE: This study aimed at investigating the correlation of miR-138 expression and clinical outcome of patients with ESCC. METHODS: A total of 168 serum samples and 128 fresh cancer tissues as well as their corresponding adjacent non-cancerous tissues were collected. Real-time PCR was performed to evaluate the clinical value of miR-138 in ESCC. RESULTS: Our results showed that tissue and serum miR-138 levels were both significantly reduced in ESCC compared to their respective controls. Tissue miR-138 levels were highly correlated with serum miR-138 levels. Serum miR-138 differentiated patients with ESCC from healthy controls with high accuracy. In addition, reduced tissue/serum miR-138 levels were correlated with unfavorable clinicopathological parameters including T stage, lymph node metastasis and TNM stage. ESCC patients with lower tissue/serum miR-138 levels had shorter five year overall survival compared with those with higher tissue/serum miR-138 levels. Finally, downregulation of miR-138 was demonstrated to be an independent prognostic risk factor for ESCC. CONCLUSIONS: In conclusion, both tissue and serum miR-138 levels are reduced in ESCC, and might be promising prognostic biomarkers for ESCC.
Keywords: Biomarker, diagnosis, esophageal squamous cell carcinoma, miR-138, prognosis
DOI: 10.3233/CBM-170079
Journal: Cancer Biomarkers, vol. 20, no. 1, pp. 49-54, 2017
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