Age-related DNA methylation in paired normal and tumour breast tissue in Chinese breast cancer patients.


Journal

Epigenetics
ISSN: 1559-2308
Titre abrégé: Epigenetics
Pays: United States
ID NLM: 101265293

Informations de publication

Date de publication:
06 2021
Historique:
pubmed: 25 9 2020
medline: 13 1 2022
entrez: 24 9 2020
Statut: ppublish

Résumé

Age-related DNA methylation is a potential mechanism contributing to breast cancer development. Studies of primarily Caucasian women have identified many CpG sites of age-related methylation in non-diseased breast tissue possibly driving cancer development over time. There is a paucity of studies involving Asian women whose ages at breast cancer onset are usually younger than Caucasians. We identified the 181 most consistent age-related methylation events in non-diseased breast tissue across published studies. Age-related methylation events were measured in adjacent normal and breast tumour tissue in an exclusively Asian population at the previously identified age-related methylation sites. Age-related methylation was found in 118 probes in adjacent normal breast tissue. Methylation of 99% of these sites was increased with age and predominantly located on CpG islands in promoter regions. To ascertain biological relevance to breast cancer, we focused on the 37 sites with overall higher methylation in tumour compared to adjacent normal samples. Some sites positively related to age, including

Identifiants

pubmed: 32970968
doi: 10.1080/15592294.2020.1819661
pmc: PMC8143246
doi:

Substances chimiques

GPC5 protein, human 0
Glypicans 0

Types de publication

Journal Article Research Support, N.I.H., Intramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

677-691

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Auteurs

Maeve Kiely (M)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA.

Lap Ah Tse (LA)

Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.

Hela Koka (H)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA.

Difei Wang (D)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA.
Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.

Priscilla Lee (P)

Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.

Feng Wang (F)

Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.

Cherry Wu (C)

North District Hospital, Hong Kong, China.

Koon Ho Tsang (KH)

Yan Chai Hospital, Hong Kong, China.

Wing-Cheong Chan (WC)

North District Hospital, Hong Kong, China.

Sze Hong Law (SH)

North District Hospital, Hong Kong, China.

Han Zhang (H)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA.

Eric Karlins (E)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA.
Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.

Bin Zhu (B)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA.
Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.

Amy Hutchinson (A)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA.
Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.

Belynda Hicks (B)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA.
Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.

Bin Zhu (B)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA.

Xiaohong R Yang (XR)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA.

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Classifications MeSH