Department of Radiation Effects Research, Institute for Radiological Science, National Institutes for Quantum Science and Technology, Chiba, Japan.
Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba, Japan.
Anticancer Res. 2024 Oct;44(10):4261-4272. doi: 10.21873/anticanres.17256.
BACKGROUND/AIM: Breast cancer is a heterogeneous disease with many subtypes, and the association between these subtypes and exposure to environmental factors such as radiation remains controversial. Although the rat is used widely for research into human breast cancer, the heterogeneity and subtype definitions are unclear. Here, we leveraged an archive of rat mammary cancer samples and gene expression microarray data to classify tumors and examine their association with exposures.
Eighty-four mammary cancer and 12 normal mammary tissue samples were obtained from previous experiments in which rats were exposed to different types of radiation, chemical carcinogens, and diets. Tumors were then subjected to immunohistochemical (IHC) analysis of conventional biomarkers, as well as gene expression profiling; they were then classified by three approaches based on IHC results, the PAM50 classifier algorithm, and unsupervised clustering of gene expression profiles.
IHC identified four subtypes (luminal A-like, luminal B-like 1, luminal B-like 2, and triple-negative), while PAM50 identified six (luminal A, luminal B, basal-like, HER2-enriched, normal-like, and claudin-low). Unsupervised clustering divided the tumors into three large, statistically significant, groups (named "luminal A", "luminal B", and "non-luminal" clusters). The results of the three approaches were significantly associated with each other. Exposure to radiation and chemical carcinogens during post-pubertal development was significantly associated with an increased risk of developing luminal A tumors, whereas exposure to a high corn-oil diet was associated with a higher likelihood of luminal B tumors.
Rat mammary cancer subtypes resemble those in humans and are related to environmental factors.
背景/目的:乳腺癌是一种具有多种亚型的异质性疾病,这些亚型与辐射等环境因素之间的关联仍存在争议。尽管大鼠被广泛用于研究人类乳腺癌,但乳腺癌的异质性和亚型定义尚不清楚。在这里,我们利用大鼠乳腺肿瘤样本的档案和基因表达微阵列数据来对肿瘤进行分类,并研究它们与暴露的关系。
从以前的实验中获得了 84 个乳腺肿瘤和 12 个正常乳腺组织样本,这些实验中大鼠暴露于不同类型的辐射、化学致癌物和饮食中。然后对肿瘤进行常规生物标志物的免疫组织化学(IHC)分析,以及基因表达谱分析;然后根据 IHC 结果、PAM50 分类器算法和基因表达谱的无监督聚类将其分为三种类型。
IHC 鉴定出了四种亚型(luminal A-like、luminal B-like 1、luminal B-like 2 和三阴性),而 PAM50 则鉴定出了六种(luminal A、luminal B、基底样、HER2 富集、正常样和 Claudin-low)。无监督聚类将肿瘤分为三个大的、具有统计学意义的组(命名为“luminal A”、“luminal B”和“非 luminal”聚类)。这三种方法的结果彼此显著相关。青春期后发育过程中暴露于辐射和化学致癌物与 luminal A 肿瘤风险增加显著相关,而暴露于高玉米油饮食与 luminal B 肿瘤的可能性增加显著相关。
大鼠乳腺肿瘤亚型与人类相似,与环境因素有关。