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通过基于阵列的比较基因组杂交技术鉴定遗传性乳腺肿瘤中的不同基因组图谱。

Distinct genomic profiles in hereditary breast tumors identified by array-based comparative genomic hybridization.

作者信息

Jönsson Göran, Naylor Tara L, Vallon-Christersson Johan, Staaf Johan, Huang Jia, Ward M Renee, Greshock Joel D, Luts Lena, Olsson Håkan, Rahman Nazneen, Stratton Michael, Ringnér Markus, Borg Ake, Weber Barbara L

机构信息

Department of Oncology, University Hospital, Lund, Sweden.

出版信息

Cancer Res. 2005 Sep 1;65(17):7612-21. doi: 10.1158/0008-5472.CAN-05-0570.

Abstract

Mutations in BRCA1 and BRCA2 account for a significant proportion of hereditary breast cancers. Earlier studies have shown that inherited and sporadic tumors progress along different somatic genetic pathways and that global gene expression profiles distinguish between these groups. To determine whether genomic profiles similarly discriminate among BRCA1, BRCA2, and sporadic tumors, we established DNA copy number profiles using comparative genomic hybridization to BAC-clone microarrays providing <1 Mb resolution. Tumor DNA was obtained from BRCA1 (n = 14) and BRCA2 (n = 12) mutation carriers, as well as sporadic cases (n = 26). Overall, BRCA1 tumors had a higher frequency of copy number alterations than sporadic breast cancers (P = 0.00078). In particular, frequent losses on 4p, 4q, and 5q in BRCA1 tumors and frequent gains on 7p and 17q24 in BRCA2 tumors distinguish these from sporadic tumors. Distinct amplicons at 3q27.1-q27.3 were identified in BRCA1 tumors and at 17q23.3-q24.2 in BRCA2 tumors. A homozygous deletion on 5q12.1 was found in a BRCA1 tumor. Using a set of 169 BAC clones that detect significantly (P < 0.001) different frequencies of copy number changes in inherited and sporadic tumors, these could be discriminated into separate groups using hierarchical clustering. By comparing DNA copy number and RNA expression for genes in these regions, several candidate genes affected by up- or down-regulation were identified. Moreover, using support vector machines, we correctly classified BRCA1 and BRCA2 tumors (P < 0.0000004 and 0.00005, respectively). Further validation may prove this tumor classifier to be useful for selecting familial breast cancer cases for further mutation screening, particularly, as these data can be obtained using archival tissue.

摘要

BRCA1和BRCA2基因的突变在遗传性乳腺癌中占相当大的比例。早期研究表明,遗传性和散发性肿瘤沿着不同的体细胞遗传途径发展,并且整体基因表达谱能够区分这两类肿瘤。为了确定基因组图谱是否同样能够区分BRCA1、BRCA2和散发性肿瘤,我们使用分辨率小于1 Mb的BAC克隆微阵列通过比较基因组杂交建立了DNA拷贝数图谱。肿瘤DNA取自BRCA1突变携带者(n = 14)、BRCA2突变携带者(n = 12)以及散发性病例(n = 26)。总体而言,BRCA1肿瘤的拷贝数改变频率高于散发性乳腺癌(P = 0.00078)。特别是,BRCA1肿瘤中4p、4q和5q的频繁缺失以及BRCA2肿瘤中7p和17q24的频繁增加将它们与散发性肿瘤区分开来。在BRCA1肿瘤中鉴定出3q27.1 - q27.3处有明显的扩增子,在BRCA2肿瘤中17q23.3 - q24.2处有明显的扩增子。在一个BRCA1肿瘤中发现了5q12.1处的纯合缺失。使用一组169个BAC克隆,这些克隆检测到遗传性和散发性肿瘤中拷贝数变化的频率有显著差异(P < 0.001),通过层次聚类可将它们分为不同的组。通过比较这些区域中基因的DNA拷贝数和RNA表达,鉴定出了几个受上调或下调影响的候选基因。此外,使用支持向量机我们正确地对BRCA1和BRCA2肿瘤进行了分类(分别为P < 0.0000004和0.00005)。进一步验证可能会证明这种肿瘤分类器对于选择家族性乳腺癌病例进行进一步的突变筛查是有用的,特别是因为这些数据可以使用存档组织获得。

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