Lockwood William W, Coe Bradley P, Williams Ariane C, MacAulay Calum, Lam Wan L
Department of Cancer Genetics and Developmental Biology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Int J Cancer. 2007 Jan 15;120(2):436-43. doi: 10.1002/ijc.22335.
Cervical cancer is the second most common malignancy in women worldwide, with high risk subtypes of human papillomavirus (HPV) constituting the major etiological agent. However, only a small percentage of women infected by the virus develop disease, suggesting that additional host genetic alterations are necessary for disease progression. In this study we examined the genomes of a panel of commonly used model cervical cancer cell lines using a recently developed whole genome tiling path array for CGH analysis. Detailed analysis of genomic profiles enabled the detection of many novel aberrations, which may have been missed by conventional cytogenetic methods. In total, 27 minimal regions of recurrent copy number alteration were identified that are potentially involved in tumorigenesis. Interestingly, fine mapping of the 3q gain, which is associated with the progression of precursor lesions to invasive cervical cancer, identified a minimal region of alteration harboring genes distinct from previous candidates. Novel regions of gene amplification, including the coamplification of both the Birc and MMP gene clusters on 11q22, were also evident. Lastly, characterization of genomic structure at sites of HPV integration identified the copy number gain of host cellular sequences between the viral-host genomic boundaries in both SiHa and SW756, suggesting a direct role for HPV integration in the development of genetic abnormalities that initiate cervical cancer. This work represents the highest resolution look at a cervical cancer genome to date and offers definitive characterization of the alteration status of these cancer cell lines.
宫颈癌是全球女性中第二常见的恶性肿瘤,高危亚型人乳头瘤病毒(HPV)是主要的致病因素。然而,只有一小部分感染该病毒的女性会发病,这表明疾病进展还需要其他宿主基因改变。在本研究中,我们使用最近开发的用于比较基因组杂交(CGH)分析的全基因组平铺路径阵列,检测了一组常用的宫颈癌模型细胞系的基因组。对基因组图谱的详细分析能够检测到许多新的畸变,而这些畸变可能是传统细胞遗传学方法所遗漏的。总共鉴定出27个反复出现拷贝数改变的最小区域,这些区域可能与肿瘤发生有关。有趣的是,对与宫颈上皮内瘤变进展为浸润性宫颈癌相关的3q增益进行精细定位,确定了一个包含与先前候选基因不同的基因的最小改变区域。新的基因扩增区域也很明显,包括11q22上Birc和MMP基因簇的共扩增。最后,对HPV整合位点的基因组结构进行表征,发现SiHa和SW756细胞系中病毒-宿主基因组边界之间的宿主细胞序列拷贝数增加,这表明HPV整合在引发宫颈癌的基因异常发展中起直接作用。这项工作代表了迄今为止对宫颈癌基因组的最高分辨率研究,并对这些癌细胞系的改变状态进行了明确的表征。