{"title":"大鼠乳腺癌分子亚型的特征及其与环境暴露的关系","authors":"Yukiko Nishimura, Daisuke Iizuka, Masaru Takabatake, Kazuhiro Daino, Mayumi Nishimura, Takamitsu Morioka, Yoshiya Shimada, Shizuko Kakinuma, Tatsuhiko Imaoka","doi":"10.21873/anticanres.17256","DOIUrl":null,"url":null,"abstract":"<p><strong>Background/aim: </strong>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.</p><p><strong>Materials and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>Rat mammary cancer subtypes resemble those in humans and are related to environmental factors.</p>","PeriodicalId":8072,"journal":{"name":"Anticancer research","volume":"44 10","pages":"4261-4272"},"PeriodicalIF":1.6000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterization of Molecular Subtypes of Rat Mammary Cancer and Their Association With Environmental Exposures.\",\"authors\":\"Yukiko Nishimura, Daisuke Iizuka, Masaru Takabatake, Kazuhiro Daino, Mayumi Nishimura, Takamitsu Morioka, Yoshiya Shimada, Shizuko Kakinuma, Tatsuhiko Imaoka\",\"doi\":\"10.21873/anticanres.17256\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background/aim: </strong>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.</p><p><strong>Materials and methods: </strong>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.</p><p><strong>Results: </strong>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. 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引用次数: 0
摘要
背景/目的:乳腺癌是一种具有多种亚型的异质性疾病,这些亚型与暴露于辐射等环境因素之间的关系仍存在争议。虽然大鼠被广泛用于人类乳腺癌的研究,但其异质性和亚型定义尚不清楚。在此,我们利用大鼠乳腺癌样本档案和基因表达芯片数据对肿瘤进行分类,并研究它们与暴露的关系:在之前的实验中,大鼠暴露于不同类型的辐射、化学致癌物质和饮食,我们从这些实验中获得了 84 个乳腺癌样本和 12 个正常乳腺组织样本。然后对肿瘤进行常规生物标记物免疫组化(IHC)分析和基因表达谱分析;然后根据 IHC 结果、PAM50 分类器算法和基因表达谱无监督聚类三种方法对肿瘤进行分类:IHC确定了四种亚型(管腔A型、管腔B型1、管腔B型2和三阴性),而PAM50确定了六种亚型(管腔A型、管腔B型、基底型、HER2富集型、正常型和低Claudin型)。无监督聚类将肿瘤分为三大组(分别命名为 "管腔 A 组"、"管腔 B 组 "和 "非管腔组"),并具有统计学意义。这三种方法的结果有明显的相关性。在青春期后的发育过程中暴露于辐射和化学致癌物质与患腔隙A型肿瘤的风险增加有显著关系,而暴露于高玉米油饮食与患腔隙B型肿瘤的可能性增加有显著关系:结论:大鼠乳腺癌亚型与人类相似,并与环境因素有关。
Characterization of Molecular Subtypes of Rat Mammary Cancer and Their Association With Environmental Exposures.
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.
Materials and methods: 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.
Results: 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.
Conclusion: Rat mammary cancer subtypes resemble those in humans and are related to environmental factors.
期刊介绍:
ANTICANCER RESEARCH is an independent international peer-reviewed journal devoted to the rapid publication of high quality original articles and reviews on all aspects of experimental and clinical oncology. Prompt evaluation of all submitted articles in confidence and rapid publication within 1-2 months of acceptance are guaranteed.
ANTICANCER RESEARCH was established in 1981 and is published monthly (bimonthly until the end of 2008). Each annual volume contains twelve issues and index. Each issue may be divided into three parts (A: Reviews, B: Experimental studies, and C: Clinical and Epidemiological studies).
Special issues, presenting the proceedings of meetings or groups of papers on topics of significant progress, will also be included in each volume. There is no limitation to the number of pages per issue.