21
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      MiR-506 Over-Expression Inhibits Proliferation and Metastasis of Breast Cancer Cells

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          This study aimed to investigate the relationship between miR-506 and proliferation and migration of breast cancer cells.

          Material/Methods

          MiR-506 mimics, inhibitor, and negative control (NC) were transfected into MDA-MB-231 breast cancer cells. Cell proliferation, cell counting, colony formation assay, and Transwell assay were applied to evaluate the proliferation and migration of breast cancer cells. Data are shown as mean ± standard deviation and the experiment was performed 3 times. Statistical analyses were performed with SPSS version 10.0.

          Results

          At 1 day after transfection, cell proliferation detected by CCK-8 assay was significantly promoted in miR-506 inhibitor when compared with the miR-506 mimics group and the NC group ( P<0.05). At 3 days or 5 days after transfection, cell proliferation was markedly inhibited in the miR-506 mimics group, and miR-506 inhibitor was still significantly promoted. Cell counting with a hemocytometer showed similar results to cell proliferation. Colony formation assay showed that the number of colonies in the miR-506 mimics group was significantly smaller than that in the miR-506 inhibitor group and NC group. Transwell assay revealed that the number of migrated cells in miR-506 mimics was markedly smaller than that in the miR-506 inhibitor group and NC group.

          Conclusions

          MiR-506 over-expression significantly inhibits the proliferation, colony formation, and migration of breast cancer cells. miR-506 over-expression may thus be able to improve the malignant phenotype of breast cancer cells.

          Related collections

          Most cited references11

          • Record: found
          • Abstract: not found
          • Article: not found

          Micromanagers of gene expression: the potentially widespread influence of metazoan microRNAs.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            miR-506 Regulates Epithelial Mesenchymal Transition in Breast Cancer Cell Lines

            Epithelial-mesenchymal transition (EMT) is an important parameter related to breast cancer survival. Among several microRNAs predicted to target EMT-related genes, miR-506 is a novel miRNA found to be significantly related to breast cancer patient survival in a meta-analysis. miR-506 suppressed the expression of mesenchymal genes such as Vimentin, Snai2, and CD151 in MDA-MB-231 human breast cancer cell line. Moreover, NF-κB bound to the upstream promoter region of miR-506 to suppress transcription. Overexpression of miR-506 inhibited TGFβ-induced EMT and suppressed adhesion, invasion, and migration of MDA-MB-231 cells. From these results, we concluded that miR-506 plays a key role in the process of EMT through posttranslational control of EMT-related genes.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Association of germline microRNA SNPs in pre-miRNA flanking region and breast cancer risk and survival: the Carolina Breast Cancer Study.

              Common germline variation in the 5' region proximal to precursor (pre-) miRNA gene sequences is evaluated for association with breast cancer risk and survival among African Americans and Caucasians. We genotyped nine single nucleotide polymorphisms (SNPs) within six miRNA gene regions previously associated with breast cancer, in 1,972 cases and 1,776 controls. In a race-stratified analysis using unconditional logistic regression, odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated to evaluate SNP association with breast cancer risk. Additionally, hazard ratios (HRs) for breast cancer-specific mortality were estimated. Two miR-185 SNPs provided suggestive evidence of an inverse association with breast cancer risk (rs2008591, OR = 0.72 (95 % CI = 0.53-0.98, p value = 0.04) and rs887205, OR = 0.71 (95 % CI = 0.52-0.96, p value = 0.03), respectively) among African Americans. Two SNPs, miR-34b/34c (rs4938723, HR = 0.57 (95 % CI = 0.37-0.89, p value = 0.01)) and miR-206 (rs6920648, HR = 0.77 (95 % CI = 0.61-0.97, p value = 0.02)), provided evidence of association with breast cancer survival. Further adjustment for stage resulted in more modest associations with survival (HR = 0.65 [95 % CI = 0.42-1.02, p value = 0.06] and HR = 0.79 [95 % CI = 0.62-1.00, p value = 0.05, respectively]). Our results suggest that germline variation in the 5' region proximal to pre-miRNA gene sequences may be associated with breast cancer risk among African Americans and breast cancer-specific survival generally; however, further validation is needed to confirm these findings.
                Bookmark

                Author and article information

                Journal
                Med Sci Monit
                Med. Sci. Monit
                Medical Science Monitor
                Medical Science Monitor : International Medical Journal of Experimental and Clinical Research
                International Scientific Literature, Inc.
                1234-1010
                1643-3750
                2015
                10 June 2015
                : 21
                : 1687-1692
                Affiliations
                Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University, Shanghai, P.R. China
                Author notes
                Corresponding Author: Zhongwei Lv, e-mail: lvzhongwei_sy@ 123456163.com
                [A]

                Study Design

                [B]

                Data Collection

                [C]

                Statistical Analysis

                [D]

                Data Interpretation

                [E]

                Manuscript Preparation

                [F]

                Literature Search

                [G]

                Funds Collection

                [*]

                Equal contributors

                Article
                893522
                10.12659/MSM.893522
                4473806
                26059632
                551d2498-fce7-483f-ac07-f0be97de5651
                © Med Sci Monit, 2015

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License

                History
                : 08 January 2015
                : 09 February 2015
                Categories
                Molecular Biology

                breast neoplasms,cell proliferation,micrornas,neoplasm metastasis

                Comments

                Comment on this article