Bennett Christina N, Green Jeffrey E
Laboratory of Cancer Biology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA.
Toxicol Pathol. 2010 Jan;38(1):88-95. doi: 10.1177/0192623309357074. Epub 2010 Jan 15.
Cross-species genomic analyses have proven useful for identifying common genomic alterations that occur in human cancers and mouse models designed to recapitulate human tumor development. High-throughput molecular analyses provide a valuable tool for identifying particular animal models that may represent aspects of specific subtypes of human cancers. Corresponding alterations in gene copy number and expression in tumors from mouse and human suggest that these conserved changes may be mechanistically essential for cancer development and progression, and therefore, they may be critical targets for therapeutic intervention. Using a cross-species analysis approach, mouse models in which the functions of p53, Rb, and BRCA1 have been disrupted demonstrate molecular features of human, triple-negative (ER-, PR-, and ERBB2-), basal-type breast cancer. Using mouse tumor models based on the targeted abrogation of p53 and Rb function, we identified a large, integrated genetic network that correlates to poor outcome in several human epithelial cancers. This gene signature is highly enriched for genes involved in DNA replication and repair, chromosome maintenance, cell cycle regulation, and apoptosis. Current studies are determining whether inactivation of specific members within this signature, using drugs or siRNA, will identify potentially important new targets to inhibit triple-negative, basal-type breast cancer for which no targeted therapies currently exist.
跨物种基因组分析已被证明有助于识别在人类癌症和旨在模拟人类肿瘤发展的小鼠模型中出现的常见基因组改变。高通量分子分析为识别可能代表人类癌症特定亚型某些方面的特定动物模型提供了一个有价值的工具。小鼠和人类肿瘤中基因拷贝数和表达的相应改变表明,这些保守变化可能在癌症发生和发展过程中具有重要的机制性作用,因此,它们可能是治疗干预的关键靶点。采用跨物种分析方法,p53、Rb和BRCA1功能被破坏的小鼠模型表现出人类三阴性(雌激素受体、孕激素受体和人表皮生长因子受体2均阴性)基底样乳腺癌的分子特征。利用基于p53和Rb功能靶向缺失的小鼠肿瘤模型,我们确定了一个与几种人类上皮性癌症不良预后相关的大型综合遗传网络。该基因特征在参与DNA复制和修复、染色体维持、细胞周期调控和凋亡的基因中高度富集。目前的研究正在确定,使用药物或小干扰RNA使该特征中的特定成员失活,是否能识别出潜在的重要新靶点,以抑制目前尚无靶向治疗方法的三阴性基底样乳腺癌。