Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Reprod Toxicol. 2022 Aug;111:184-193. doi: 10.1016/j.reprotox.2022.06.002. Epub 2022 Jun 8.
While mammographic breast density is associated with breast cancer risk in humans, there is no comparable surrogate risk measure in mouse and rat mammary glands following various environmental exposures. In the current study, mammary glands from mice and rats subjected to reproductive factors and exposures to environmental chemicals that have been shown to influence mammary gland development and/or susceptibility to mammary tumors were evaluated for histologic density by manual and automated digital methods. Digital histological density detected changes due to hormonal stimuli/reproductive factors (parity), dietary fat, and exposure to environmental chemicals, such as benzophenone-3 and a combination of perfluorooctanoic acid and zeranol. Thus, digital analysis of mammary gland density offers a high throughput method that can provide a highly reproducible means of comparing a measure of histological density across independent experiments, experimental systems, and laboratories. This methodology holds promise for the detection of environmental impacts on mammary gland structure in mice and rats that may be comparable to human breast density, thus potentially allowing comparisons between rodent models and human breast cancer studies.
虽然乳腺密度与人类乳腺癌风险相关,但在各种环境暴露后,在小鼠和大鼠的乳腺中,没有类似的替代风险衡量标准。在当前的研究中,对接受生殖因素和环境化学物质暴露的小鼠和大鼠的乳腺进行了组织学密度评估,这些化学物质已被证明会影响乳腺发育和/或乳腺癌易感性,评估方法包括手动和自动数字方法。数字组织学密度检测到由于激素刺激/生殖因素(生育次数)、饮食脂肪以及接触环境化学物质(如二苯甲酮-3 和全氟辛酸与 zeranol 的混合物)而导致的变化。因此,乳腺密度的数字分析提供了一种高通量方法,可以提供一种高度可重复的手段,用于比较跨独立实验、实验系统和实验室的组织学密度测量值。这种方法有望检测环境对小鼠和大鼠乳腺结构的影响,这种影响可能与人类乳腺密度相当,从而可以在啮齿动物模型和人类乳腺癌研究之间进行比较。