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上皮性卵巢癌的高分辨率单核苷酸多态性阵列分析揭示了众多微缺失和扩增。

High-resolution single nucleotide polymorphism array analysis of epithelial ovarian cancer reveals numerous microdeletions and amplifications.

作者信息

Gorringe Kylie L, Jacobs Sharoni, Thompson Ella R, Sridhar Anita, Qiu Wen, Choong David Y H, Campbell Ian G

机构信息

Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.

出版信息

Clin Cancer Res. 2007 Aug 15;13(16):4731-9. doi: 10.1158/1078-0432.CCR-07-0502.

Abstract

PURPOSE

Genetic changes in sporadic ovarian cancer are relatively poorly characterized compared with other tumor types. We have evaluated the use of high-resolution whole genome arrays for the genetic profiling of epithelial ovarian cancer.

EXPERIMENTAL DESIGN

We have evaluated 31 primary ovarian cancers and matched normal DNA for loss of heterozygosity and copy number alterations using 500 K single nucleotide polymorphism arrays.

RESULTS

In addition to identifying the expected large-scale genomic copy number changes, >380 small regions of copy number gain or loss (<500 kb) were identified among the 31 tumors, including 33 regions of high-level gain (>5 copies) and 27 homozygous deletions. The existence of such a high frequency of small regions exhibiting copy number alterations had not been previously suspected because earlier genomic array platforms lacked comparable resolution. Interestingly, many of these regions harbor known cancer genes. For example, one tumor harbored a 350-kb high-level amplification centered on FGFR1 and three tumors showed regions of homozygous loss 109 to 216 kb in size involving the RB1 tumor suppressor gene only.

CONCLUSIONS

These data suggest that novel cancer genes may be located within the other identified small regions of copy number alteration. Analysis of the number of copy number breakpoints and the distribution of the small regions of copy number change indicate high levels of structural chromosomal genetic instability in ovarian cancer.

摘要

目的

与其他肿瘤类型相比,散发性卵巢癌的基因变化特征相对较少。我们评估了使用高分辨率全基因组芯片对上皮性卵巢癌进行基因谱分析的情况。

实验设计

我们使用500K单核苷酸多态性芯片评估了31例原发性卵巢癌以及配对的正常DNA的杂合性缺失和拷贝数改变情况。

结果

除了识别出预期的大规模基因组拷贝数变化外,在这31个肿瘤中还鉴定出>380个拷贝数增加或减少的小区域(<500 kb),包括33个高水平扩增区域(>5拷贝)和27个纯合缺失区域。由于早期的基因组芯片平台缺乏可比的分辨率,此前并未怀疑存在如此高频率的显示拷贝数改变的小区域。有趣的是,这些区域中有许多含有已知的癌症基因。例如,一个肿瘤含有一个以FGFR1为中心的350 kb高水平扩增区域,三个肿瘤仅显示大小为109至216 kb的涉及RB1肿瘤抑制基因的纯合缺失区域。

结论

这些数据表明,新的癌症基因可能位于其他已鉴定的拷贝数改变小区域内。对拷贝数断点数量和拷贝数变化小区域分布的分析表明,卵巢癌存在高水平的染色体结构遗传不稳定性。

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