TARGETED microRNA PROFILING IN GASTRIC CANCER WITH CLINICAL ASSESSEMENT
Pehlevan Ozel H, Dinç T, Tiryaki RS2, Keşkus AG, Konu O, Kayilioglu SI, Coşkun F
*Corresponding Author: Tolga Dinç, M.D., Associate Professor, Department of General Surgery, Health Sciences University, Ankara City Hospital, Üniversiteler Mahallesi 1604. Cadde No: 9 Çankaya/ Ankara/Turkey. Tel./Fax: +90-312-552-60-00. Intercom: 121514. Mobile: +90-532-481-22-75. Email: tolga_dr@hotmail.com
page: 55
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Abstract

Although several microRNAs (miRNAs) have been associated with gastric cancer there is still the need for identification of stable and validated biomarkers. The purpose of this study was to determine the alterations of a specific set of miRNA levels in gastric adenocarcinoma tissues to identify and validate gastric cancer-specific miRNAs using paired normal and tumor samples in an independent patient cohort. Gastric adenocarcinoma and normal stomach tissue samples of 20 patients who underwent surgery for gastric cancer were studied. The miRNA expression profiling was performed for eight miRNAs in a total of 40 tissue samples using quantitative reverse transcription polymerase chain reaction (RT-qPCR). Six out of these eight miRNAs, namely, miR-375-3p, hsamiR- 129-5p, miR-196a-5p, miR-376c-3p, miR-34c-5p and miR-767-5p, were significantly underexpressed in malignant tissues of our cohort. Furthermore, the expression of miR-662 although not significantly different between normal and tumor tissues, was inversely associated with age (r = –0.440, p = 0.049). The levels of miR-129-3p and miR34c-5p were correlated with an increase in the number of metastatic lymph nodes (r = 0.470, p = 0.036; r = 0.510, p = 0.020), while and miR-376c-3p levels were negatively associated with smoking (p = 0.043). In addition, we found that the variability of miRNA expression in cancerous tissues was lower than that in normal tissues. Alterations in miRNA expression in gastric adenocarcinoma tissues in comparison to healthy tissues of each individual serves for identification of consistent biomarkers that can be used for development of diagnostic tools for gastric cancer.



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