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
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 c...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Wolters Kluwer Medknow Publications
2012-01-01
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Series: | Advanced Biomedical Research |
Subjects: | |
Online Access: | http://www.advbiores.net/article.asp?issn=2277-9175;year=2012;volume=1;issue=1;spage=80;epage=80;aulast=Gheibi |
Summary: | 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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ISSN: | 2277-9175 2277-9175 |