Department of Cancer Genetics, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.
Cancer Registry of Norway, Oslo, Norway.
J Mammary Gland Biol Neoplasia. 2019 Jun;24(2):163-175. doi: 10.1007/s10911-018-09423-x. Epub 2019 Jan 6.
High mammographic density (MD) is associated with a 4-6 times increase in breast cancer risk. For post-menopausal women, MD often decreases over time, but little is known about the underlying biological mechanisms. MD reflects breast tissue composition, and may be associated with microenvironment subtypes previously identified in tumor-adjacent normal tissue. Currently, these subtypes have not been explored in normal breast tissue. We obtained biopsies from breasts of healthy women at two different time points several years apart and performed microarray gene expression analysis. At time point 1, 65 samples with both MD and gene expression were available. At time point 2, gene expression and MD data were available from 17 women, of which 11 also had gene expression data available from the first time point. We validated findings from our previous study; negative correlation between RBL1 and MD in post-menopausal women, indicating involvement of the TGFβ pathway. We also found that breast tissue samples from women with a large decrease in MD sustained higher expression of genes in the histone family H4. In addition, we explored the previously defined active and inactive microenvironment subtypes and demonstrated that normal breast samples of the active subtype had characteristics similar to the claudin-low breast cancer subtype. Breast biopsies from healthy women are challenging to obtain, but despite a limited sample size, we have identified possible mechanisms relevant for changes in breast biology and MD over time that may be of importance for breast cancer risk and tumor initiation.
高乳腺密度(MD)与乳腺癌风险增加 4-6 倍相关。对于绝经后妇女,MD 通常随着时间的推移而降低,但关于潜在的生物学机制知之甚少。MD 反映了乳腺组织的组成,可能与肿瘤邻近正常组织中先前确定的微环境亚型有关。目前,这些亚型尚未在正常乳腺组织中进行探索。我们从健康女性的乳房中获得了两次相隔数年的不同时间点的活检,并进行了微阵列基因表达分析。在时间点 1,有 65 个样本同时具有 MD 和基因表达数据。在时间点 2,有 17 名女性的基因表达和 MD 数据可用,其中 11 名女性还具有第一次时间点的基因表达数据。我们验证了我们之前研究中的发现;绝经后妇女中 RBL1 与 MD 呈负相关,表明 TGFβ 途径的参与。我们还发现,MD 大量降低的女性的乳腺组织样本中,组蛋白家族 H4 的基因表达持续升高。此外,我们还探索了先前定义的活跃和不活跃的微环境亚型,并表明活跃亚型的正常乳腺样本具有与 Claudin-low 乳腺癌亚型相似的特征。健康女性的乳腺活检很难获得,但尽管样本量有限,我们已经确定了可能与乳腺生物学和 MD 随时间变化相关的机制,这些机制可能对乳腺癌风险和肿瘤发生很重要。