Meyer Kerstin B, Maia Ana-Teresa, O'Reilly Martin, Teschendorff Andrew E, Chin Suet-Feung, Caldas Carlos, Ponder Bruce A J
Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, United Kingdom.
PLoS Biol. 2008 May 6;6(5):e108. doi: 10.1371/journal.pbio.0060108.
The recent whole-genome scan for breast cancer has revealed the FGFR2 (fibroblast growth factor receptor 2) gene as a locus associated with a small, but highly significant, increase in the risk of developing breast cancer. Using fine-scale genetic mapping of the region, it has been possible to narrow the causative locus to a haplotype of eight strongly linked single nucleotide polymorphisms (SNPs) spanning a region of 7.5 kilobases (kb) in the second intron of the FGFR2 gene. Here we describe a functional analysis to define the causative SNP, and we propose a model for a disease mechanism. Using gene expression microarray data, we observed a trend of increased FGFR2 expression in the rare homozygotes. This trend was confirmed using real-time (RT) PCR, with the difference between the rare and the common homozygotes yielding a Wilcox p-value of 0.028. To elucidate which SNPs might be responsible for this difference, we examined protein-DNA interactions for the eight most strongly disease-associated SNPs in different breast cell lines. We identify two cis-regulatory SNPs that alter binding affinity for transcription factors Oct-1/Runx2 and C/EBPbeta, and we demonstrate that both sites are occupied in vivo. In transient transfection experiments, the two SNPs can synergize giving rise to increased FGFR2 expression. We propose a model in which the Oct-1/Runx2 and C/EBPbeta binding sites in the disease-associated allele are able to lead to an increase in FGFR2 gene expression, thereby increasing the propensity for tumour formation.
最近针对乳腺癌的全基因组扫描显示,FGFR2(成纤维细胞生长因子受体2)基因是一个与患乳腺癌风险小幅但显著增加相关的位点。通过对该区域进行精细的基因定位,已能够将致病位点缩小至FGFR2基因第二内含子中一个7.5千碱基(kb)区域内的8个紧密连锁的单核苷酸多态性(SNP)组成的单倍型。在此,我们描述了一项功能分析以确定致病SNP,并提出了一种疾病机制模型。利用基因表达微阵列数据,我们在罕见纯合子中观察到FGFR2表达增加的趋势。使用实时(RT)PCR证实了这一趋势,罕见纯合子与常见纯合子之间的差异产生的Wilcox p值为0.028。为阐明哪些SNP可能导致这种差异,我们检测了不同乳腺细胞系中8个与疾病关联最强的SNP的蛋白质-DNA相互作用。我们鉴定出两个顺式调控SNP,它们改变了对转录因子Oct-1/Runx2和C/EBPβ的结合亲和力,并且我们证明这两个位点在体内均被占据。在瞬时转染实验中,这两个SNP可协同作用导致FGFR2表达增加。我们提出了一个模型,其中疾病关联等位基因中的Oct-1/Runx2和C/EBPβ结合位点能够导致FGFR2基因表达增加,从而增加肿瘤形成的倾向。