Zhang Zhongfa, Wondergem Bill, Dykema Karl
Laboratory of Cancer Genetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA.
Adv Bioinformatics. 2010;2010:428325. doi: 10.1155/2010/428325. Epub 2010 Jul 5.
We present a comprehensive study of cytogenetic alterations that occur during the progression of clear cell renal cell carcinoma (ccRCC). We used high-density high-throughput Affymetrix 100 K SNP arrays to obtain the whole genome SNP copy number information from 71 pretreatment tissue samples with RCC tumors; of those, 42 samples were of human ccRCC subtype. We analyzed patterns of cytogenetic loss and gain from different RCC subtypes and in particular, different stages and grades of ccRCC tumors, using a novel algorithm that we have designed. Based on patterns of cytogenetic alterations in chromosomal regions with frequent losses and gains, we inferred the involvement of candidate genes from these regions in ccRCC tumorigenesis and development. We then proposed a new model of ccRCC tumorigenesis and progression. Our study serves as a comprehensive overview of cytogenetic alterations in a collection of 572 ccRCC tumors from diversified studies and should facilitate the search for specific genes associated with the disease.
我们对透明细胞肾细胞癌(ccRCC)进展过程中发生的细胞遗传学改变进行了全面研究。我们使用高密度高通量Affymetrix 100 K SNP阵列,从71例患有RCC肿瘤的预处理组织样本中获取全基因组SNP拷贝数信息;其中,42个样本属于人类ccRCC亚型。我们使用自己设计的一种新算法,分析了不同RCC亚型,特别是ccRCC肿瘤不同阶段和级别的细胞遗传学缺失和增益模式。基于染色体区域频繁缺失和增益的细胞遗传学改变模式,我们推断这些区域的候选基因参与了ccRCC的肿瘤发生和发展。然后,我们提出了一种新的ccRCC肿瘤发生和进展模型。我们的研究全面概述了来自多样化研究的572例ccRCC肿瘤中的细胞遗传学改变,应有助于寻找与该疾病相关的特定基因。