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人类肿瘤的DNA拷贝数扩增图谱分析

DNA copy number amplification profiling of human neoplasms.

作者信息

Myllykangas S, Himberg J, Böhling T, Nagy B, Hollmén J, Knuutila S

机构信息

Department of Pathology, Haartman Institute and HUSLAB, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland.

出版信息

Oncogene. 2006 Nov 23;25(55):7324-32. doi: 10.1038/sj.onc.1209717. Epub 2006 Jun 5.

Abstract

DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes.

摘要

DNA拷贝数扩增激活致癌基因,是几乎所有晚期肿瘤的标志。扩增基因是治疗、诊断和预后评估的有吸引力的靶点。为了研究不同肿瘤中的DNA扩增情况,我们使用838项已发表的染色体比较基因组杂交研究进行了文献组学调查,并从4500多例病例中收集了染色体带分辨率的扩增数据。确定了73种不同肿瘤的扩增图谱。根据扩增图谱对肿瘤进行聚类,并使用计算模型识别频繁扩增的染色体位点(扩增热点)。为了研究基因扩增的位点特异性和机制,在统计框架内测试了扩增热点、癌症基因、脆性位点、病毒整合位点和基因大小队列的共定位。基于扩增的聚类表明,具有相似病因、起源细胞或地形位置的癌症倾向于获得趋同的扩增图谱。所识别的扩增热点与已知的脆性位点、癌症基因和病毒整合位点共定位,但无法确定总体统计显著性。大基因在脆性位点和报道的扩增热点上显著富集。这些发现表明,扩增是根据癌症基因的定性特征和定位在癌症组织环境中被选择的。

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