Hyman Elizabeth, Kauraniemi Päivikki, Hautaniemi Sampsa, Wolf Maija, Mousses Spyro, Rozenblum Ester, Ringnér Markus, Sauter Guido, Monni Outi, Elkahloun Abdel, Kallioniemi Olli-P, Kallioniemi Anne
Howard Hughes Medical Institute-NIH Research Scholar, Bethesda, Maryland 20892, USA.
Cancer Res. 2002 Nov 1;62(21):6240-5.
Genetic changes underlie tumor progression and may lead to cancer-specific expression of critical genes. Over 1100 publications have described the use of comparative genomic hybridization (CGH) to analyze the pattern of copy number alterations in cancer, but very few of the genes affected are known. Here, we performed high-resolution CGH analysis on cDNA microarrays in breast cancer and directly compared copy number and mRNA expression levels of 13,824 genes to quantitate the impact of genomic changes on gene expression. We identified and mapped the boundaries of 24 independent amplicons, ranging in size from 0.2 to 12 Mb. Throughout the genome, both high- and low-level copy number changes had a substantial impact on gene expression, with 44% of the highly amplified genes showing overexpression and 10.5% of the highly overexpressed genes being amplified. Statistical analysis with random permutation tests identified 270 genes whose expression levels across 14 samples were systematically attributable to gene amplification. These included most previously described amplified genes in breast cancer and many novel targets for genomic alterations, including the HOXB7 gene, the presence of which in a novel amplicon at 17q21.3 was validated in 10.2% of primary breast cancers and associated with poor patient prognosis. In conclusion, CGH on cDNA microarrays revealed hundreds of novel genes whose overexpression is attributable to gene amplification. These genes may provide insights to the clonal evolution and progression of breast cancer and highlight promising therapeutic targets.
基因变化是肿瘤进展的基础,并可能导致关键基因的癌症特异性表达。超过1100篇出版物描述了使用比较基因组杂交(CGH)分析癌症中拷贝数改变的模式,但受影响的基因中只有极少数是已知的。在这里,我们对乳腺癌的cDNA微阵列进行了高分辨率CGH分析,并直接比较了13824个基因的拷贝数和mRNA表达水平,以量化基因组变化对基因表达的影响。我们鉴定并绘制了24个独立扩增子的边界,大小从0.2到12 Mb不等。在整个基因组中,高水平和低水平的拷贝数变化都对基因表达有重大影响,44%的高度扩增基因显示过表达,10.5%的高度过表达基因被扩增。通过随机排列检验进行的统计分析确定了270个基因,其在14个样本中的表达水平系统地归因于基因扩增。这些基因包括大多数先前描述的乳腺癌扩增基因以及许多新的基因组改变靶点,包括HOXB7基因,该基因在17q21.3处的一个新扩增子中的存在在10.2%的原发性乳腺癌中得到验证,并与患者预后不良相关。总之,cDNA微阵列上的CGH揭示了数百个新基因,其过表达归因于基因扩增。这些基因可能为乳腺癌的克隆进化和进展提供见解,并突出有前景的治疗靶点。