Single Nucleotide Polymorphism Affects the Minimum Free Energy of Mir-613: A Bioinformatic Analysis

Background and aim: breast cancer (bc) is considered as the leading cause of death among women globally and causes near 500,000 deaths annually. bc is known as a heterogeneous and multifactorial disease. it is highly important to take the necessary steps before the development and progression of bc. early diagnosis by recruiting multi-disciplinary approaches is required accordingly. since the genetic alterations are related to an increased risk of bc, tracing associated microrna (mirna) markers could provide early diagnosis of bc. it has been identified that mir-613 is correlated with the incidence of bc through two different mechanisms. single nucleotide polymorphisms (snps) are loci within a genome that occurs between two or more alleles. snps in the mirna sequence is seen to affect its function. to investigate alterations of the secondary structure of mir-613 in response to snps, bioinformatic analysis was conducted. for this purpose, we calculated the minimum free energy (mfe) of mir-613 and rs755934683, rs761524048, rs777124811, and rs780144421. methods: “mircancer” database was used to validate the expression profile of mir-613 in bc. the sequence of the microrna was obtained from “mirbase” database. “mirtargetlinkhuman” webserver was used to visualize the molecular interaction network of mir-613 and its targets. “viennarna” web service was used to investigate the effect of this variation on the stem-loop structure and to determine the minimum free energy (mfe) of the polymorphic and non-polymorphic variants. results: while the mfe of non-polymorphic sequence of mir-613 was -27.40 kcal/mol, the mfe for rs755934683, rs761524048, rs777124811 and rs780144421 was -25.30, -27.10, -25.50 and -29.00 kcal/mol, respectively. conclusion: according to the suppressive role of mir-613 in cell migration of triple-negative bc (tnbc) cells via reducing the protein level of daam1 and also its inhibition role of cell proliferation, this bioinformatic study was conducted to investigate how some snps (rs755934683, rs761524048, rs777124811, and rs780144421) might affect the secondary structure of mir-613.