Pfefferle Adam D, Herschkowitz Jason I, Usary Jerry, Harrell Joshua Chuck, Spike Benjamin T, Adams Jessica R, Torres-Arzayus Maria I, Brown Myles, Egan Sean E, Wahl Geoffrey M, Rosen Jeffrey M, Perou Charles M
Genome Biol. 2013 Nov 12;14(11):R125. doi: 10.1186/gb-2013-14-11-r125.
Human breast cancer is a heterogeneous disease consisting of multiple molecular subtypes. Genetically engineered mouse models are a useful resource for studying mammary cancers in vivo under genetically controlled and immune competent conditions. Identifying murine models with conserved human tumor features will facilitate etiology determinations, highlight the effects of mutations on pathway activation, and should improve preclinical drug testing.
Transcriptomic profiles of 27 murine models of mammary carcinoma and normal mammary tissue were determined using gene expression microarrays. Hierarchical clustering analysis identified 17 distinct murine subtypes. Cross-species analyses using three independent human breast cancer datasets identified eight murine classes that resemble specific human breast cancer subtypes. Multiple models were associated with human basal-like tumors including TgC3(1)-Tag, TgWAP-Myc and Trp53-/-. Interestingly, the TgWAPCre-Etv6 model mimicked the HER2-enriched subtype, a group of human tumors without a murine counterpart in previous comparative studies. Gene signature analysis identified hundreds of commonly expressed pathway signatures between linked mouse and human subtypes, highlighting potentially common genetic drivers of tumorigenesis.
This study of murine models of breast carcinoma encompasses the largest comprehensive genomic dataset to date to identify human-to-mouse disease subtype counterparts. Our approach illustrates the value of comparisons between species to identify murine models that faithfully mimic the human condition and indicates that multiple genetically engineered mouse models are needed to represent the diversity of human breast cancers. The reported trans-species associations should guide model selection during preclinical study design to ensure appropriate representatives of human disease subtypes are used.
人类乳腺癌是一种由多种分子亚型组成的异质性疾病。基因工程小鼠模型是在基因控制和免疫健全条件下体内研究乳腺癌的有用资源。识别具有保守人类肿瘤特征的小鼠模型将有助于病因学确定,突出突变对通路激活的影响,并应改善临床前药物测试。
使用基因表达微阵列确定了27种小鼠乳腺癌模型和正常乳腺组织的转录组谱。层次聚类分析确定了17种不同的小鼠亚型。使用三个独立的人类乳腺癌数据集进行的跨物种分析确定了八种类似于特定人类乳腺癌亚型的小鼠类别。多种模型与人类基底样肿瘤相关,包括TgC3(1)-Tag、TgWAP-Myc和Trp53-/-。有趣的是,TgWAPCre-Etv6模型模拟了HER2富集亚型,这是一组在先前比较研究中没有小鼠对应物的人类肿瘤。基因特征分析确定了相关小鼠和人类亚型之间数百种共同表达的通路特征,突出了肿瘤发生潜在的共同遗传驱动因素。
这项对小鼠乳腺癌模型的研究涵盖了迄今为止最大的综合基因组数据集,以识别从人类到小鼠的疾病亚型对应物。我们的方法说明了物种间比较在识别忠实模拟人类疾病状况的小鼠模型方面的价值,并表明需要多种基因工程小鼠模型来代表人类乳腺癌的多样性。所报道的跨物种关联应在临床前研究设计期间指导模型选择,以确保使用人类疾病亚型的合适代表。