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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Molecular Biology Re...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Molecular Biology Reports
Article . 2014 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Epigenetic marks in estrogen receptor alpha CpG island correlate with some reproductive risk factors in breast cancer

Authors: Pantea, Izadi; Mehrdad, Noruzinia; Forouzandeh, Fereidooni; Zahra, Mostakhdemine Hosseini; Fatemeh, Kamali;

Epigenetic marks in estrogen receptor alpha CpG island correlate with some reproductive risk factors in breast cancer

Abstract

Reproductive backgrounds, such as age at menarche and menopause, age of first full-term pregnancy (FFTP), number of full-term deliveries and oral contraceptive use are main hormone-related risk factors of breast cancer. It seems that the mentioned factors may affect the risk of breast cancer by enhancing the duration of exposure to estrogen as a potent carcinogen for breast tissue, but the molecular mechanism which links each risk factor to breast cancer is unclear. Estrogen mainly works via its nuclear receptor (ERα). As epigenetic alterations such as CpG methylation are potential links between endogenous or exogenous exposures and genome, we hypothesized that hormone-related risk factors may correlate with the epigenetic marks of the ERα promoter in breast tumors. In the present study, the CpG methylation status of the ERα gene in 99 samples of breast tumors belonged to women with different reproductive histories was evaluated. The reproductive history data were collected from patients. ERα CpG methylation was investigated by methylation specific PCR in DNA samples were obtained from the breast tumors. We could show that some of the hormone-related risk factors (early FFTP and increased number of pregnancies) were inversely correlated with epigenetic marks in ERα gene in breast tumors. Other hormone-related risk factors such as age of menarche and menopause and oral contraceptive use did not show any association with ERα methylation. It seems that pregnancy-related risk factors in comparison with other hormone-related factors work via different mechanism. As ERα methylation is a poor prognosis marker in breast tumors, its association with some modifiable reproductive risk factors (FFTP age and numbers of pregnancies) reiterates the importance of programming reproductive life style not only for prevention of breast cancer but also in favoring the prognosis of the affected women. The exact molecular mechanisms of the observed correlation need more investigation in the future.

Related Organizations
Keywords

Estrogen Receptor alpha, Breast Neoplasms, DNA Methylation, Polymerase Chain Reaction, Pregnancy, Risk Factors, Humans, CpG Islands, Female, Reproductive History, DNA Primers

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Average
Top 10%
Related to Research communities
Cancer Research