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Year : 2012  |  Volume : 1  |  Issue : 1  |  Page : 80

Study of promoter methylation pattern of 14-3-3 sigma gene in normal and cancerous tissue of breast: A potential biomarker for detection of breast cancer in patients

1 Department of Biomedical Sciences, Division of Genetics, Isfahan, Iran
2 Department of Pathology, Medical School, Isfahan, Iran
3 Department of Statistical science, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
4 Department of Biomedical Sciences, Division of Genetics, Isfahan; Medical Genetic Center of Genome,Isfahan, Iran

Correspondence Address:
M Salehi
Department of Biomedical Sciences, Division of Genetics, Medical School, Isfahan University of Medical Sciences, Isfahan
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2277-9175.102990

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Background: In recent years, DNA methylation as a main epigenetic modification in human cancer is found as a promising biomarker in early detection of breast cancer. Possible applications of numerous hypermethylated genes have been reported in diagnosis of breast cancer but there has been a little comprehensive study on the clinical usefulness of these genes in breast cancer. The aim of the present study was to investigate the promoter methylation status of 14-3-3 sigma gene with the goal of developing a diagnostic application in breast cancer. Materials and Methods: Totally 40 cases of cancerous and noncancerous tissues were studied. DNA was extracted from tissue samples, and promoter methylation pattern was determined by using methylation-specific polymerase chain reaction. Results: Methylation pattern of 14-3-3 sigma promoter significantly differed between control and malignant breast tissues ( P = 0.001), and there was no remarkable correlation between methylation and age ( P > 0.05). Conclusion: The relationship of promoter methylation of 14-3-3 sigma with development of breast cancer found in this study and confirmed the results of previous reports suggests that we can provide the foundation for possible application of 14-3-3 sigma as a potential biomarker for early detection and monitoring disease status.

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