سال انتشار: ۱۳۹۳
محل انتشار: اولین کنگره بین المللی و سیزدهمین کنگره ژنتیک ایران
تعداد صفحات: ۱
Fatemeh Mirzadeh Azad – Department of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
Seyed Javad Mowla – Department of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
Azar Baradaran – Department of Clinical Pathology, Isfahan University of Medical Sciences, Isfahan, Iran
Bahram Mohammad Soltani – Department of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
Lung cancer is the leading cause of cancer-related death worldwide. Due to late diagnosis, the overall 5-year survival rate for NSCLC patients remains <20%, thus, it is necessary to further elucidate the mechanisms involved in the tumorigenesis of lung cancer and discover novel diagnostics markers. microRNAs are a group of non-coding regulatory RNAs that play critical roles in biological processes during fetal development and tumorigenesis. Because of re-activation of developmental pathways in tumorigenesis, it is important to investigate role of development related microRNAs in lung tumors. Herein, we evaluated expression alterations of two development-related microRNAs, miR-187 and miR-134 in a matched case-control way. miR-134, an upregulated microRNA during lung development, induces cellular proliferation and epidermal-mesenchymal transition in lung tumor cells. miR-187 is down-regulated in developing lung. To investigate miRs expression patterns, 36 formalin-free paraffin-embedded (FFPE) samples of lung tumors along with matched non-tumor margin were obtained, RNA was extracted and after reverse transcription, Real-time qPCR was performed. Our data revealed that miR-134 was significantly up-regulated (p value: 0.0419) and miR-187 was significantlydown-regulated (p value: 0.0487) in tumor tissues. Up regulation of miR-134 is in agreement with its developmental status and shows its probable oncogenic roles. miR-187 down regulation indicates its possible tumor suppressing activity. According to these results, miR-187 and miR-134 could be used as potential lung cancer diagnostic biomarkers.