Evaluation of BHMT2 gene expression and its expression factor regulating LNC00922 LNCRNA with rs10944 genotype determination in patients with breast cancer

Abstract Background: It is predicted that dysregulation of BHMT2 expression level could have a remarkable effect on Breast cancer status. The absence of methionine and Hyperhomocysteinemia have been linked to a decline in BHMT2 expression. This mRNA expression and its correlated long non- coding RNA (lncRNA) (LINC00922) have been investigated in our experiment based on the bioinformatics approach. Also, the genotype frequency analysis of BHMT2 in SNP rs10499 has been demonstrated. The mentioned SNP is correlated with the differences in the binding affinity of miR542-3p. Material and method: we performed a microarray analysis to find the differentially expressed genes (DEGs). GeneMANIA and miRWalk online databases were used for mRNA-mRNA and mRNA-miRNA interaction analyses. Clusterprofiler package was used for functional and pathway enrichment analyses. dbSNP database was applied for finding the relevant Single nucleotide polymorphism (SNP). The Co-lncRNA database was used for finding the correlated lncRNA.A real-time PCR experiment was performed to count the relative expression level of BHMT2 and LINC00922. The high resolution melt (HRM) method was performed to identify the SNP genotype frequency. Result: BHMT2 had a significant down-regulation, and LINC00922 had a significant up-regulation in Breast cancer tissues compared to normal. No significant difference in genotype frequency of rs10944 was observed. Conclusion: The current study revealed that BHMT2 and LINC00922 can be the two novel correlated biomarker of breast cancer. More similar investigations are needed for evaluating more accurate and reliable result, specially about rs10499.