Michels Evi, De Preter Katleen, Van Roy Nadine, Speleman Frank
Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium.
Genet Med. 2007 Sep;9(9):574-84. doi: 10.1097/gim.0b013e318145b25b.
Over the past few years, various reliable platforms for high-resolution detection of DNA copy number changes have become widely available. Together with optimized protocols for labeling and hybridization and algorithms for data analysis and representation, this has lead to a rapid increase in the application of this technology in the study of copy number variation in the human genome in normal cells and copy number imbalances in genetic diseases, including cancer. In this review, we briefly discuss specific technical issues relevant for array comparative genomic hybridization analysis in cancer tissues. We specifically focus on recent successes of array comparative genomic hybridization technology in the progress of our understanding of oncogenesis in a variety of cancer types. A third section highlights the potential of sensitive genome-wide detection of patterns of DNA imbalances or molecular portraits for class discovery and therapeutic stratification.
在过去几年中，各种用于高分辨率检测DNA拷贝数变化的可靠平台已广泛可得。连同用于标记和杂交的优化方案以及用于数据分析和呈现的算法，这使得该技术在正常细胞中人类基因组拷贝数变异研究以及包括癌症在内的遗传疾病中拷贝数失衡研究中的应用迅速增加。在本综述中，我们简要讨论与癌症组织阵列比较基因组杂交分析相关的特定技术问题。我们特别关注阵列比较基因组杂交技术在我们对多种癌症类型肿瘤发生机制理解进展方面的近期成功。第三部分强调了对DNA失衡模式或分子图谱进行全基因组敏感检测以用于类别发现和治疗分层的潜力。
