Department of Clinical Chemistry, Center for Diagnostic, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany.
Int J Cancer. 2013 Mar 15;132(6):1311-22. doi: 10.1002/ijc.27941. Epub 2012 Dec 13.
Mouse models are important tools to decipher the molecular mechanisms of mammary carcinogenesis and to mimic the respective human disease. Despite sharing common phenotypic and genetic features, the proper translation of murine models to human breast cancer remains a challenging task. In a previous study we showed that in the SV40 transgenic WAP-T mice an active Met-pathway and epithelial-mesenchymal characteristics distinguish low- and high-grade mammary carcinoma. To assign these murine tumors to corresponding human tumors we here incorporated the analysis of expression of transcription factor (TF) coding genes and show that thereby a more accurate interspecies translation can be achieved. We describe a novel cross-species translation procedure and demonstrate that expression of unsupervised selected TFs, such as ELF5, HOXA5 and TFCP2L1, can clearly distinguish between the human molecular breast cancer subtypes--or as, for example, expression of TFAP2B between yet unclassified subgroups. By integrating different levels of information like histology, gene set enrichment, expression of differentiation markers and TFs we conclude that tumors in WAP-T mice exhibit similarities to both, human basal-like and non-basal-like subtypes. We furthermore suggest that the low- and high-grade WAP-T tumor phenotypes might arise from distinct cells of tumor origin. Our results underscore the importance of TFs as common cross-species denominators in the regulatory networks underlying mammary carcinogenesis.
鼠模型是解析乳腺癌发生的分子机制并模拟相应人类疾病的重要工具。尽管具有共同的表型和遗传特征,但将鼠模型正确转化为人类乳腺癌仍然是一项具有挑战性的任务。在之前的研究中,我们表明在 SV40 转基因 WAP-T 小鼠中,活跃的 Met 途径和上皮-间充质特征可区分低级别和高级别乳腺癌。为了将这些鼠肿瘤分配到相应的人类肿瘤,我们在此整合了转录因子 (TF) 编码基因表达的分析,并表明可以通过这种方式实现更准确的种间翻译。我们描述了一种新的跨物种翻译程序,并证明未受监督选择的 TF(如 ELF5、HOXA5 和 TFCP2L1)的表达可以清楚地区分人类分子乳腺癌亚型-例如,TFAP2B 的表达可以区分尚未分类的亚组。通过整合组织学、基因集富集、分化标志物和 TF 表达等不同层次的信息,我们得出结论,WAP-T 小鼠中的肿瘤与人类的基底样和非基底样亚型均具有相似性。我们还提出,低级别和高级别 WAP-T 肿瘤表型可能源自肿瘤起源的不同细胞。我们的研究结果强调了 TF 作为乳腺发生的调控网络中常见的跨物种标准的重要性。