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Down-Regulation of Circular Rna Itch and Circhipk3 in Gastric Cancer Tissues Publisher Pubmed



Ghasemi S1 ; Emadibaygi M2, 3 ; Nikpour P1, 4
Authors
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Authors Affiliations
  1. 1. Department of Genetics and Molecular Biology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Research Institute of Biotechnology, Shahrekord University, Shahrekord, Iran
  3. 3. Department of Genetics, Faculty of Basic Sciences, Shahrekord University, Shahrekord, Iran
  4. 4. Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Turkish Journal of Medical Sciences Published:2019


Abstract

Background/aim: Gastric cancer (GC) is one of the major causes of cancer mortality worldwide. As a novel type of endogenous noncoding RNAs, circular RNAs (circRNAs) are formed by a covalent link between 5’ and 3’ ends. They are very stable and abundant in eukaryotes. As there were no reported studies on the expression profiles of circular RNA ITCH (cir-ITCH) and circHIPK3 in GC, in the current study, we aimed to delineate the expression profiles and clinicopathological relevance of these two circRNAs in GC tissues compared to their paired adjacent noncancerous tissues. Materials and methods: Quantitative real-time polymerase chain reaction was performed to evaluate cir_ITCH and circHIPK3 expression in 30 paired gastric cancer tissues. The clinicopathological relevance of these two circular RNAs’ expression levels with gastric cancer was further examined. Results: Our results showed that the expression of cir_ITCH and circHIPK3 were significantly downregulated in GC tumoral tissues compared with their paired adjacent nonneoplastic counterparts. Further analyses showed that cir_ITCH and circHIPK3 expression levels were related with numerous clinicopathological features of tumoral tissues. Conclusion: Cir_ITCH and circHIPK3 may have imperative roles in GC and serve in the future as potential prognostic biomarkers in GC. © TUBITAK.
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