Journal
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
Volume 18, Issue 11, Pages 2984-2991Publisher
AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1055-9965.EPI-08-1245
Keywords
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Funding
- Specialized Program of Research Excellence in Cervical Cancer [P50 CA098252]
- Flight Attendant Medical Research Institute Young Clinical Scientist Award
- Cigarette Restitution Fund of Maryland
- National Cancer Institute [U54 CA091409]
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Background: Many risk factors have been associated with cancer, such as age, family history, race, smoking, high-fat diet, and poor nutrition. It is important to reveal the molecular changes related to risk factors that could facilitate early detection, prevention, and overall control of cancer. Methods: We selected six cancer-specific methylated genes that have previously been reported in primary tumors and have also been detected in different bodily fluids of cancer patients. Here, we used quantitative fluorogenic real-time methylation-specific PCR in plasma DNA samples for the detection of methylation changes from an asymptomatic population who do not have any known cancer. Results: The promoter methylation frequencies of the studied genes were as follows: APC (7%), CCND2 (22%), GSTP1 (2%), MGMT (9%), RAR beta 2 (29%), and P16 (3%). Promoter methylation of at least one of the genes analyzed was observed in similar to 46% (72 of 157) of the samples by binary dichotomization. Promoter hypermethylation of at least two genes was detected in 17% (26 of 157) of the samples. RAR beta 2 methylation was observed in 45% of subjects who had a high-fat diet in contrast with those who had a low-fat diet (23%; P = 0.007). Discussion: Our findings may help to elucidate early methylation changes that may lead to cancer development. These methylation changes could be due to exposure to risk factors and may be useful for cancer prevention measures such as changes in lifestyle. Longitudinal follow-up of a high-risk population is needed to understand the association of methylation of candidate genes in cancer development. (Cancer Epidemiol Biomarkers Prev 2009;18(11):2984-91)
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