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LncRNAs as potential diagnostic and prognostic biomarkers in gastric cancer: A novel approach to personalized medicine
Authors:Sadegh Fattahi  Mohadeseh Kosari-Monfared  Monireh Golpour  Zakieh Emami  Mohammad Ghasemiyan  Maryam Nouri  Haleh Akhavan-Niaki
Affiliation:1. Department of Genetics, Student Research Committee, Babol University of Medical Sciences, Babol, Iran;2. Department of Genetics, Faculty of Medicine, Babol University of Medical Sciences, Babol, Iran;3. Department of Immunology, Molecular and Cell Biology Research Center, Student Research Committee, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
Abstract:Gastric cancer is the third leading cause of cancer death with 5-year survival rate of about 30–35%. Since early detection is associated with decreased mortality, identification of novel biomarkers for early diagnosis and proper management of patients with the best response to therapy is urgently needed. Long noncoding RNAs (lncRNAs) due to their high specificity, easy accessibility in a noninvasive manner, as well as their aberrant expression under different pathological and physiological conditions, have received a great attention as potential diagnostic, prognostic, or predictive biomarkers. They may also serve as targets for treating gastric cancer. In this review, we highlighted the role of lncRNAs as tumor suppressors or oncogenes that make them potential biomarkers for the diagnosis and prognosis of gastric cancer. Relatively, lncRNAs such as H19, HOTAIR, UCA1, PVT1, tissue differentiation-inducing nonprotein coding, and LINC00152 could be potential diagnostic and prognostic markers in patients with gastric cancer. Also, the impact of lncRNAs such as ecCEBPA, MLK7-AS1, TUG1, HOXA11-AS, GAPLINC, LEIGC, multidrug resistance-related and upregulated lncRNA, PVT1 on gastric cancer epigenetic and drug resistance as well as their potential as therapeutic targets for personalized medicine was discussed.
Keywords:biomarker  epigenetic  gastric cancer  long noncoding RNAs  personalized medicine
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