Gastric cancer has been known as the second cause of mortality in consequence of cancer . this cancer can make many problem for families and societies and also this is a good reason for recognizing biomarkers. snps are the most important biomarker for personalizd medicine. microrna sparticipate in divers biological pathways and may act as oncogenes or tumore suppressors, so they could be used as a prognostic biomarker. the aim of our study is to expand ourrent knowledge about molecular function of mir-19a-3p and its snp in gastric cancer cells by using bioinformatics tools.
That is why databases such as mirnasnp , mirwalk 2.0, mirtarbase ,mirwalk and david have been used.
Due to the studies in has-mir-19a-3p, validated and predicted targets of mir-19a-3p were obtained from mirtarbase and mirwalk databases respectively. unigene and david databases were used for further analysis. mirnasnp databases predict single nucleotid polymorphism in mir-19a-3p and its function. it is predicted that mir-19a-3p cts as a critical tumor suppressor microrna by inhibiting some important genes in sustained angiogenesis pathway. our data manifested kegg signaling pathway “ pathway in cancer” as the most statistical relevant pathway with mir-19a-3p targetome.
Regarding to this confirmation of mir-19a-3p and its snp may be involved in gastric cancer prognosis by altering regulation of angiogenesis and some vital signaling pathways mrnas. to sum up c allele in this location can have prognostic value for angiogenesis and metastasis phenotype in patients with gastric cancer.