Akademik Veri Yönetim Sistemi
4th World Congress on Human Genetics & Genetic Diseases and 3rd International Conference on Molecular Medicine & Diagnostics, Dubai, Birleşik Arap Emirlikleri, 19 - 20 Nisan 2018, cilt.12, ss.85
miRNAS leading to increase susceptibility of hereditary ovarian cancer
Betul Celik, Gozde Kuru, S Bugra Tuncer, Seda Kılıc, Ozge Sukruoglu, Demet Akdeniz, Mukaddes Avsar, Pınar Saip and Hulya Yazıcı
Istanbul University, Turkey
Statement of the Problem: Approximately 90% of the malignant ovarian tumors are epithelial over cancers,originating from the
ovarian surface epithelium. Patients with ovarian cancer are generally diagnosed in advance stagesand the 5-year survival rate
is less than 40%. MicroRNAs, a subset of non-coding small RNAs approximately 22 nucleotides, not converting into proteins
and single-stranded molecules silence protein expression. Recently, numerous studies have been conducted to determine the
structure and function of miRNAs and which types of miRNAs cause the disease. These findings show that miRNAs can be
used to diagnose cancer and play an important role in the pathogenesis of tumor. Here in this study, we aimed to show the
relation between the miRNA expressions that might be related to the specific regions in the susceptibility of ovarian cancer
formation and development of the tumor by using miRNA microarray technology.
Methodology: In the study, the lymphocyte cells of peripheral bloods belonging to the family members which were 3 sisters, 1
brother, 1 niece, 1 daughter of patients and the discordant monozygotic twins for ovarian cancer who applied to cancer genetics
clinic at University of Istanbul, Institute of Oncology in 2012 were used. The Agilent miRNA array kit protocol was used to
measure expression levels of miRNAs. Multiple tests were used for statistical analysis to detect difference between miRNAs
expressions.
Findings: Following statistical analysis among the groups, miRNAs with increasing or decreasing susceptibility level to disease
predisposition were identified. After statistical analysis between the groups, a total of statistically significant high expression
level of 5 miRNAs were found to be associated with susceptibility to ovarian-cancer. These miRNAs are miR-1273g-3p, miR1305, miR-3651, miR-6131, miR-92a-3p, respectively. It was determined that 1 miRNA was statistically significant with
decreased expression level. This significant decrease was found in miRNA miR-3135b.
Conclusion & Significance: These miRNAs have been found to increase susceptibility by targeting certain molecules and are
planned to be correlated with randomly selected patients with healthy groups in the community.