Orsetti B, Nugoli M, Cervera N, Lasorsa L, Chuchana P, Rougé C, Ursule L, Nguyen C, Bibeau F, Rodriguez C, Theillet C
Génotypes et Phénotypes Tumoraux, EMI229 INSERM/Université Montpellier I, Centre de Recherche, CRLC Val D'Aurelle-Paul Lamarque, Montpellier Cedex, France.
Br J Cancer. 2006 Nov 20;95(10):1439-47. doi: 10.1038/sj.bjc.6603433. Epub 2006 Oct 24.
Chromosome 1 is involved in quantitative anomalies in 50-60% of breast tumours. However, the structure of these anomalies and the identity of the affected genes remain to be determined. To characterise these anomalies and define their consequences on gene expression, we undertook a study combining array-CGH analysis and expression profiling using specialised arrays. Array-CGH data showed that 1p was predominantly involved in losses and 1q almost exclusively in gains. Noticeably, high magnitude amplification was infrequent. In an attempt to fine map regions of copy number changes, we defined 19 shortest regions of overlap (SROs) for gains (one at 1p and 18 at 1q) and of 20 SROs for losses (all at 1p). These SROs, whose sizes ranged from 170 kb to 3.2 Mb, represented the smallest genomic intervals possible based on the resolution of our array. The elevated incidence of gains at 1q, added to the well-established concordance between DNA copy increase and augmented RNA expression, made us focus on gene expression changes at this chromosomal arm. To identify candidate oncogenes, we studied the RNA expression profiles of 307 genes located at 1q using a home-made built cDNA array. We identified 30 candidate genes showing significant overexpression correlated to copy number increase. In order to substantiate their involvement, RNA expression levels of these candidate genes were measured by quantitative (Q)-RT-PCR in a panel of 25 breast cancer cell lines previously typed by array-CGH. Q-PCR showed that 11 genes were significantly overexpressed in the presence of a genomic gain in these cell lines, and 20 overexpressed when compared to normal breast.
在50%-60%的乳腺肿瘤中,1号染色体存在数量异常。然而,这些异常的结构以及受影响基因的身份仍有待确定。为了表征这些异常并确定其对基因表达的影响,我们开展了一项研究,将阵列比较基因组杂交(array-CGH)分析与使用专门阵列的表达谱分析相结合。阵列比较基因组杂交数据显示,1p主要发生缺失,而1q几乎只发生扩增。值得注意的是,高倍数扩增并不常见。为了精细定位拷贝数变化区域,我们针对扩增定义了19个最短重叠区域(SRO)(1个在1p,18个在1q),针对缺失定义了20个SRO(均在1p)。这些SRO的大小从170 kb到3.2 Mb不等,代表了基于我们阵列分辨率的最小基因组区间。1q扩增的高发生率,加上DNA拷贝增加与RNA表达增强之间已确立的一致性,使我们将重点放在该染色体臂上的基因表达变化。为了鉴定候选癌基因,我们使用自制的cDNA阵列研究了位于1q的307个基因的RNA表达谱。我们鉴定出30个候选基因,其显著过表达与拷贝数增加相关。为了证实它们的作用,在先前通过阵列比较基因组杂交分型的一组25个乳腺癌细胞系中,通过定量(Q)-RT-PCR测量了这些候选基因的RNA表达水平。定量PCR显示,在这些细胞系中,11个基因在存在基因组扩增时显著过表达,与正常乳腺相比,20个基因过表达。