Abstract:Estrogens, in particular 17β-estradiol (E2) and estrone (E1), play a role in breast cancer initiation and progression due to their reactive metabolites able to form DNA adducts. Yet, little is known about variables affecting formation of estrogen-DNA adducts in the human breast.Hence the aim of this work was to bioinformatically model fluxes of E2-DNA adducts and determined associated variables by linear regression models.
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