Association between lifestyle factors and CpG island methylation in a cancer-free population

Mariana Brait Rodrigues De Oliveira, Jean G. Ford, Srinivas Papaiahgari, Mary A. Garza, Jin I. Lee, Myriam Loyo, Leonel Maldonado, Shahnaz Begum, Lee McCaffrey, Mollie Howerton, David Sidransky, Mark Ross Emerson, Saifuddin Ahmed, Carla D. Williams, Mohammad Hoque

Research output: Contribution to journalArticle

Abstract

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%), RARβ2 (29%), and P16 (3%). Promoter methylation of at least one of the genes analyzed was observed in ∼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. RARβ2 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.

Original languageEnglish (US)
Pages (from-to)2984-2991
Number of pages8
JournalCancer Epidemiology Biomarkers and Prevention
Volume18
Issue number11
DOIs
StatePublished - Nov 2009

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CpG Islands
Methylation
Life Style
Population
Neoplasms
High Fat Diet
Genes
Fat-Restricted Diet
Neoplasm Genes
Gene Frequency
Smoking
Polymerase Chain Reaction
DNA

ASJC Scopus subject areas

  • Epidemiology
  • Oncology

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Association between lifestyle factors and CpG island methylation in a cancer-free population. / Brait Rodrigues De Oliveira, Mariana; Ford, Jean G.; Papaiahgari, Srinivas; Garza, Mary A.; Lee, Jin I.; Loyo, Myriam; Maldonado, Leonel; Begum, Shahnaz; McCaffrey, Lee; Howerton, Mollie; Sidransky, David; Emerson, Mark Ross; Ahmed, Saifuddin; Williams, Carla D.; Hoque, Mohammad.

In: Cancer Epidemiology Biomarkers and Prevention, Vol. 18, No. 11, 11.2009, p. 2984-2991.

Research output: Contribution to journalArticle

Brait Rodrigues De Oliveira, Mariana ; Ford, Jean G. ; Papaiahgari, Srinivas ; Garza, Mary A. ; Lee, Jin I. ; Loyo, Myriam ; Maldonado, Leonel ; Begum, Shahnaz ; McCaffrey, Lee ; Howerton, Mollie ; Sidransky, David ; Emerson, Mark Ross ; Ahmed, Saifuddin ; Williams, Carla D. ; Hoque, Mohammad. / Association between lifestyle factors and CpG island methylation in a cancer-free population. In: Cancer Epidemiology Biomarkers and Prevention. 2009 ; Vol. 18, No. 11. pp. 2984-2991.
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abstract = "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{\%}), RARβ2 (29{\%}), and P16 (3{\%}). Promoter methylation of at least one of the genes analyzed was observed in ∼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. RARβ2 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.",
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T1 - Association between lifestyle factors and CpG island methylation in a cancer-free population

AU - Brait Rodrigues De Oliveira, Mariana

AU - Ford, Jean G.

AU - Papaiahgari, Srinivas

AU - Garza, Mary A.

AU - Lee, Jin I.

AU - Loyo, Myriam

AU - Maldonado, Leonel

AU - Begum, Shahnaz

AU - McCaffrey, Lee

AU - Howerton, Mollie

AU - Sidransky, David

AU - Emerson, Mark Ross

AU - Ahmed, Saifuddin

AU - Williams, Carla D.

AU - Hoque, Mohammad

PY - 2009/11

Y1 - 2009/11

N2 - 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%), RARβ2 (29%), and P16 (3%). Promoter methylation of at least one of the genes analyzed was observed in ∼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. RARβ2 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.

AB - 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%), RARβ2 (29%), and P16 (3%). Promoter methylation of at least one of the genes analyzed was observed in ∼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. RARβ2 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.

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