Journal
BRITISH JOURNAL OF CANCER
Volume 108, Issue 10, Pages 2033-2038Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/bjc.2013.136
Keywords
breast cancer; DNA methylation; premalignant; malignant potential
Categories
Funding
- Susan G. Komen Breast Cancer Foundation [BCTR0707528]
- Leslie and Susan Gonda (Goldschmied) Foundation (Los Angeles, CA, USA)
- Associates of Breast and Prostate Cancer Studies (Los Angeles, CA, USA)
- Fashion Footwear Association of New York
- Ruth and Martin H. Weil Fund
Ask authors/readers for more resources
Background: Molecular pathways determining the malignant potential of premalignant breast lesions remain unknown. In this study, alterations in DNA methylation levels were monitored during benign, premalignant and malignant stages of ductal breast cancer development. Methods: To study epigenetic events during breast cancer development, four genomic biomarkers (Methylated-IN-Tumour (MINT) 17, MINT31, RAR beta 2 and RASSF1A) shown to represent DNA hypermethylation in tumours were selected. Laser capture microdissection was employed to isolate DNA from breast lesions, including normal breast epithelia (n = 52), ductal hyperplasia (n = 23), atypical ductal hyperplasia (n = 31), ductal carcinoma in situ (DCIS, n = 95) and AJCC stage I invasive ductal carcinoma (IDC, n = 34). Methylation Index (MI) for each biomarker was calculated based on methylated and unmethylated copy numbers measured by Absolute Quantitative Assessment Of Methylated Alleles (AQAMA). Trends in MI by developmental stage were analysed. Results: Methylation levels increased significantly during the progressive stages of breast cancer development; P-values are 0.0012, 0.0003, 0.012, <0.0001 and <0.0001 for MINT17, MINT31, RAR beta 2, RASSF1A and combined biomarkers, respectively. In both DCIS and IDC, hypermethylation was associated with unfavourable characteristics. Conclusion: DNA hypermethylation of selected biomarkers occurs early in breast cancer development, and may present a predictor of malignant potential.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available