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通过全基因组平铺路径阵列比较基因组杂交技术对非小细胞肺癌细胞系进行高分辨率分析。

High resolution analysis of non-small cell lung cancer cell lines by whole genome tiling path array CGH.

作者信息

Garnis Cathie, Lockwood William W, Vucic Emily, Ge Yong, Girard Luc, Minna John D, Gazdar Adi F, Lam Stephen, MacAulay Calum, Lam Wan L

机构信息

British Columbia Cancer Research Centre, Vancouver, BC, Canada.

出版信息

Int J Cancer. 2006 Mar 15;118(6):1556-64. doi: 10.1002/ijc.21491.

Abstract

Chromosomal regions harboring tumor suppressors and oncogenes are often deleted or amplified. Array comparative genomic hybridization detects segmental DNA copy number alterations in tumor DNA relative to a normal control. The recent development of a bacterial artificial chromosome array, which spans the human genome in a tiling path manner with >32,000 clones, has facilitated whole genome profiling at an unprecedented resolution. Using this technology, we comprehensively describe and compare the genomes of 28 commonly used non-small cell lung carcinoma (NSCLC) cell models, derived from 18 adenocarcinomas (AC), 9 squamous cell carcinomas and 1 large cell carcinoma. Analysis at such resolution not only provided a detailed genomic alteration template for each of these model cell lines, but revealed novel regions of frequent duplication and deletion. Significantly, a detailed analysis of chromosome 7 identified 6 distinct regions of alterations across this chromosome, implicating the presence of multiple novel oncogene loci on this chromosome. As well, a comparison between the squamous and AC cells revealed alterations common to both subtypes, such as the loss of 3p and gain of 5p, in addition to multiple hotspots more frequently associated with only 1 subtype. Interestingly, chromosome 3q, which is known to be amplified in both subtypes, showed 2 distinct regions of alteration, 1 frequently altered in squamous and 1 more frequently altered in AC. In summary, our data demonstrate the unique information generated by high resolution analysis of NSCLC genomes and uncover the presence of genetic alterations prevalent in the different NSCLC subtypes.

摘要

携带肿瘤抑制基因和癌基因的染色体区域常常发生缺失或扩增。阵列比较基因组杂交技术可检测肿瘤DNA相对于正常对照的片段性DNA拷贝数改变。最近开发的细菌人工染色体阵列以平铺路径方式覆盖人类基因组,包含超过32,000个克隆,以前所未有的分辨率促进了全基因组分析。利用这项技术,我们全面描述并比较了28种常用的非小细胞肺癌(NSCLC)细胞模型的基因组,这些模型分别来自18例腺癌(AC)、9例鳞状细胞癌和1例大细胞癌。如此高分辨率的分析不仅为每种模型细胞系提供了详细的基因组改变模板,还揭示了频繁重复和缺失的新区域。值得注意的是,对7号染色体的详细分析确定了该染色体上6个不同的改变区域,表明该染色体上存在多个新的癌基因位点。此外,鳞状细胞癌和腺癌细胞的比较显示了两种亚型共有的改变,如3p缺失和5p增益,此外还有多个更常与仅1种亚型相关的热点区域。有趣的是,已知在两种亚型中均发生扩增的3q染色体显示出2个不同的改变区域,1个在鳞状细胞癌中更频繁改变,另1个在腺癌中更频繁改变。总之,我们的数据证明了通过对NSCLC基因组进行高分辨率分析所产生的独特信息,并揭示了不同NSCLC亚型中普遍存在的基因改变。

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