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High resolution genomic analysis of sporadic breast cancer using array-based comparative genomic hybridization

机译:使用基于阵列的比较基因组杂交技术对散发性乳腺癌进行高分辨率基因组分析

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IntroductionGenomic aberrations in the form of subchromosomal DNA copy number changes are a hallmark of epithelial cancers, including breast cancer. The goal of the present study was to analyze such aberrations in breast cancer at high resolution.MethodsWe employed high-resolution array comparative genomic hybridization with 4,134 bacterial artificial chromosomes that cover the genome at 0.9 megabase resolution to analyze 47 primary breast tumors and 18 breast cancer cell lines.ResultsCommon amplicons included 8q24.3 (amplified in 79% of tumors, with 5/47 exhibiting high level amplification), 1q32.1 and 16p13.3 (amplified in 66% and 57% of tumors, respectively). Moreover, we found several positive correlations between specific amplicons from different chromosomes, suggesting the existence of cooperating genetic loci. Queried by gene, the most frequently amplified kinase was PTK2 (79% of tumors), whereas the most frequently lost kinase was PTK2B (hemizygous loss in 34% of tumors). Amplification of ERBB2 as measured by comparative genomic hybridization (CGH) correlated closely with ERBB2 DNA and RNA levels measured by quantitative PCR as well as with ERBB2 protein levels. The overall frequency of recurrent losses was lower, with no region lost in more than 50% of tumors; the most frequently lost tumor suppressor gene was RB1 (hemizygous loss in 26% of tumors). Finally, we find that specific copy number changes in cell lines closely mimicked those in primary tumors, with an overall Pearson correlation coefficient of 0.843 for gains and 0.734 for losses.ConclusionHigh resolution CGH analysis of breast cancer reveals several regions where DNA copy number is commonly gained or lost, that non-random correlations between specific amplicons exist, and that specific genetic alterations are maintained in breast cancer cell lines despite repeat passage in tissue culture. These observations suggest that genes within these regions are critical to the malignant phenotype and may thus serve as future therapeutic targets.
机译:简介亚染色体DNA拷贝数变化形式的基因组畸变是包括乳腺癌在内的上皮癌的标志。方法我们采用高分辨率阵列比较基因组杂交技术,将4134个细菌人工染色体与0.9兆碱基分辨率的基因组进行覆盖,以分析47个原发性乳腺癌和18个乳腺癌结果常见的扩增子包括8q24.3(在79%的肿瘤中扩增,其中5/47表现出高水平扩增),1q32.1和16p13.3(分别在66%和57%的肿瘤中扩增)。此外,我们发现来自不同染色体的特定扩增子之间存在一些正相关,表明存在协作基因位点。通过基因查询,扩增最频繁的激酶是PTK2(占肿瘤的79%),而丢失最频繁的激酶是PTK2B(在34%的肿瘤中是半融合的)。通过比较基因组杂交(CGH)测量的ERBB2扩增与通过定量PCR测量的ERBB2 DNA和RNA水平以及ERBB2蛋白水平密切相关。复发性丢失的总频率较低,超过50%的肿瘤没有区域丢失。丢失最频繁的肿瘤抑制基因是RB1(在26%的肿瘤中发生半合子丢失)。最后,我们发现细胞系中特定拷贝数的变化与原发性肿瘤中的相似,其总体皮尔逊相关系数为0.843,损失为0.734。结论乳腺癌的高分辨率CGH分析揭示了多个DNA拷贝数普遍存在的区域无论获得或丢失,特定扩增子之间都存在非随机相关性,尽管在组织培养中反复传代,但乳腺癌细胞系仍保持了特定的遗传改变。这些观察结果表明,这些区域内的基因对于恶性表型至关重要,因此可以用作未来的治疗靶标。

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