GLIS2 and CCND1 expression levels in breast cancer patients.

BACKGROUND: Breast cancer (BC) is the most prevalent cancer in women, with increasing incidence and death rates in recent years. Disruptions of different signaling pathways partially cause breast cancer. Hence, different genes through particular pathways are involved in BC tumorigenesis. METHODS: In this study, we evaluated the expression level of GLIS2 and CCND1 genes in 50 patients. Also, in-silico analyses were used to enrich related signaling pathways involving the mentioned genes. RESULTS: The results showed an increased expression level of Cyclin D1 and decreased expression level of GLIS2 in BC patients. Moreover, a relationship between aberrant expression levels of GLIS2 and CCND1 and BC development was determined. CONCLUSION: These observations could help uncover new therapeutic targets for treating patients with BC in the progressive stage.

WITHDRAWN: In silico and Experimental Analysis of miR-125b-5 and miR-485-5p Expression in Serum of Patients with Breast Cancer

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An interdependence between GAPVD1 gene polymorphism, expression level and response to interferon beta in patients with multiple sclerosis.

Interferon-ß (IFN-ß) is among the first drugs used for reducing the symptoms of multiple sclerosis (MS). Many studies show that the genetic predisposition of patients might modulate their response to IFN-ß treatment. In this study GAPVD1 gene expression and the genotyping of rs2291858 variant were analysed in 100 responder and 100 non-responder patients with MS treated using IFN-ß. Moreover, rs2291858 genotyping was performed for 200 patients with MS and 200 healthy controls. GAPVD1 expression was significantly increased in the responder patients than in non-responders and the distribution of rs2291858 polymorphism was significantly different between them. The GAPVD1 expression level in AA genotype of the responder group was higher than that in other genotypes of these two groups. The results show that the GAPVD1 expression level and rs2291858 genotype probably affect the response to IFN- ß in patients with MS.

Connection of miR-185 and miR-320a expression levels with response to interferon-beta in multiple sclerosis patients.

BACKGROUND: Multiple sclerosis (MS) is an inflammatory autoimmune disease characterized by neurodegeneration in the CNS. Interferon-beta (IFN-ß) is an FDA-approved drug used as the first-line treatment for relapse-remitting multiple sclerosis (RRMS). The exact mechanism of IFN-ß during the treatment of RRMS still remains unknown. Recently, many studies have shifted towards the role of miRNAs in the treatment of MS patients. METHODS: Herein, the expression level of miR-185-5p and miR-320a has been evaluated in order to candidate them as novel biomarkers for monitoring the response to IFN-ß therapy. For this purpose, one-hundred whole blood samples from patients with RRMS were collected, consisting of 50 responders and 50 non-responders to IFN-ß therapy. To predict the possible molecular mechanisms of IFN-ß and highlight the role of these miRNAs, in silico analysis was applied to enrich the signaling pathways which may be involved based on the target genes of miR-185-5p and miR-320a. RESULTS: It is identified that the differentially expressed miR-185-5p was statistically significant between the two treated groups with IFN-ß. Furthermore, MAPK signaling pathway was suggested as the main non-canonical pathway involved in IFN-ß therapy. CONCLUSION: miR-185-5p could be considered as a novel biomarker for monitoring the response to IFN-ß therapy.

miR-504 expression level is increased in multiple sclerosis patients responder to interferon-beta.

Multiple sclerosis is immune-mediated disease of the central nervous system characterized by demyelination in axons. IFN-ß is first-line treatment of MS. Biomarkers are needed for early prediction of responders and non-responders to therapy in the first month of treatment to avoid further disabilities. In this study, we analyzed the expression level of miR-504 and miR-711 in 52 IFN-ß responder patients in comparison to 53 non-responders. In the next step, the in-silico analysis was used to enrich related signaling pathways. The expression level of miR-504 was significantly higher in patients who respond to IFN-ß therapy, compared with non-responders and we obtain related statistically significant KEGG molecular signaling pathways. Our findings suggest that miR-504 can be considered as a novel biomarker for response to IFN-b therapy.