Laboratory of Cancer Genetics, Department of Clinical Genetics and Biocenter Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland.
PLoS Genet. 2012;8(6):e1002734. doi: 10.1371/journal.pgen.1002734. Epub 2012 Jun 21.
Breast cancer is the most common cancer in women in developed countries, and the contribution of genetic susceptibility to breast cancer development has been well-recognized. However, a great proportion of these hereditary predisposing factors still remain unidentified. To examine the contribution of rare copy number variants (CNVs) in breast cancer predisposition, high-resolution genome-wide scans were performed on genomic DNA of 103 BRCA1, BRCA2, and PALB2 mutation negative familial breast cancer cases and 128 geographically matched healthy female controls; for replication an independent cohort of 75 similarly mutation negative young breast cancer patients was used. All observed rare variants were confirmed by independent methods. The studied breast cancer cases showed a consistent increase in the frequency of rare CNVs when compared to controls. Furthermore, the biological networks of the disrupted genes differed between the two groups. In familial cases the observed mutations disrupted genes, which were significantly overrepresented in cellular functions related to maintenance of genomic integrity, including DNA double-strand break repair (P = 0.0211). Biological network analysis in the two independent breast cancer cohorts showed that the disrupted genes were closely related to estrogen signaling and TP53 centered tumor suppressor network. These results suggest that rare CNVs represent an alternative source of genetic variation influencing hereditary risk for breast cancer.
在发达国家,乳腺癌是女性最常见的癌症,遗传易感性对乳腺癌发展的作用已得到充分认识。然而,很大一部分遗传倾向因素仍然未知。为了研究罕见拷贝数变异(CNVs)在乳腺癌易感性中的作用,对 103 例 BRCA1、BRCA2 和 PALB2 突变阴性的家族性乳腺癌病例和 128 名地理匹配的健康女性对照的基因组 DNA 进行了高分辨率全基因组扫描;为了验证,还使用了一个独立的 75 例类似突变阴性的年轻乳腺癌患者队列。所有观察到的罕见变异都通过独立方法得到了证实。与对照组相比,研究中的乳腺癌病例罕见 CNVs 的频率持续增加。此外,两组中受干扰基因的生物网络也不同。在家族性病例中,观察到的突变干扰了基因,这些基因在与维持基因组完整性相关的细胞功能中显著过表达,包括 DNA 双链断裂修复(P=0.0211)。在两个独立的乳腺癌队列中的生物网络分析表明,受干扰的基因与雌激素信号和以 TP53 为中心的肿瘤抑制网络密切相关。这些结果表明,罕见的 CNVs 代表了影响乳腺癌遗传风险的遗传变异的另一个来源。