Project description:High mammographic density (MD) is associated with a 4-6 times increase in breast cancer risk. MD often decreases over time, but little is known about the corresponding biological mechanisms. We obtained biopsies from breasts of healthy women at two different time points years apart. After RNA isolation, Agilent Sureprint G3 Human Gene Expression 8x60K microarrays were performed. Mammographic density was calculated based on mammograms. We explored associations between clinical parameters, MD and gene expression and performed microenvironment tissue subtyping. Gene expression data from previous biopsies are deposited separately.
