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用于癌症样本分析的阵列比较基因组杂交技术面临的挑战。

Challenges in array comparative genomic hybridization for the analysis of cancer samples.

作者信息

Nowak Norma J, Miecznikowski Jeffrey, Moore Stephen R, Gaile Daniel, Bobadilla Dolores, Smith David D, Kernstine Kemp, Forman Stephen J, Mhawech-Fauceglia Paulette, Reid Mary, Stoler Daniel, Loree Thom, Rigual Nestor, Sullivan Maureen, Weiss Lawrence M, Hicks David, Slovak Marilyn L

机构信息

New York State Center of Excellence in Bioinformatics and Life Sciences and Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA.

出版信息

Genet Med. 2007 Sep;9(9):585-95. doi: 10.1097/gim.0b013e3181461c4a.

Abstract

PURPOSE

To address some of the challenges facing the incorporation of array comparative genomic hybridization technology as a clinical tool, including archived tumor tissue, tumor heterogeneity, DNA quality and quantity, and array comparative genomic hybridization platform selection and performance.

METHODS

Experiments were designed to assess the impact of DNA source (e.g., archival material), quantity, and amplification on array comparative genomic hybridization results. Two microdissection methods were used to isolate tumor cells to minimize heterogeneity. These data and other data sets were used in a further performance comparison of two commonly used array comparative genomic hybridization platforms: bacterial artificial chromosome (Roswell Park Cancer Institute) and oligonucleotide (Agilent Technologies, Santa Clara, CA).

RESULTS

Array comparative genomic hybridization data from as few as 100 formalin-fixed, paraffin-embedded cells isolated by laser capture microdissection and amplified were remarkably similar to array comparative genomic hybridization copy number alterations detected in the bulk (unamplified) population. Manual microdissection from frozen sections provided a rapid and inexpensive means to isolate tumor from adjacent DNA for amplification and array comparative genomic hybridization. Whole genome amplification introduced no appreciable allele bias on array comparative genomic hybridization. The array comparative genomic hybridization results provided by the bacterial artificial chromosome and Agilent platforms were concordant in general, but bacterial artificial chromosome array comparative genomic hybridization showed far fewer outliers and overall less technical noise, which could adversely affect the statistical interpretation of the data.

CONCLUSIONS

This study demonstrates that copy number alterations can be robustly and reproducibly detected by array comparative genomic hybridization in DNA isolated from challenging tumor types and sources, including archival materials, low DNA yield, and heterogeneous tissues. Furthermore, bacterial artificial chromosome array comparative genomic hybridization offers the advantage over the Agilent oligonucleotide platform of presenting fewer outliers, which could affect data interpretation.

摘要

目的

探讨将阵列比较基因组杂交技术作为临床工具所面临的一些挑战,包括存档肿瘤组织、肿瘤异质性、DNA质量和数量,以及阵列比较基因组杂交平台的选择和性能。

方法

设计实验以评估DNA来源(如存档材料)、数量和扩增对阵列比较基因组杂交结果的影响。使用两种显微切割方法分离肿瘤细胞以尽量减少异质性。这些数据和其他数据集用于对两种常用的阵列比较基因组杂交平台进行进一步的性能比较:细菌人工染色体(罗斯韦尔帕克癌症研究所)和寡核苷酸(安捷伦科技公司,加利福尼亚州圣克拉拉)。

结果

通过激光捕获显微切割分离并扩增的仅100个福尔马林固定、石蜡包埋细胞的阵列比较基因组杂交数据,与在大量(未扩增)群体中检测到的阵列比较基因组杂交拷贝数改变非常相似。从冰冻切片进行手动显微切割提供了一种快速且廉价的方法,用于从相邻DNA中分离肿瘤以进行扩增和阵列比较基因组杂交。全基因组扩增在阵列比较基因组杂交上未引入明显的等位基因偏差。细菌人工染色体和安捷伦平台提供的阵列比较基因组杂交结果总体上是一致的,但细菌人工染色体阵列比较基因组杂交显示出的异常值要少得多,并且总体技术噪声也更少,这可能会对数据的统计解释产生不利影响。

结论

本研究表明,通过阵列比较基因组杂交可以在从具有挑战性的肿瘤类型和来源(包括存档材料、低DNA产量和异质组织)中分离的DNA中可靠且可重复地检测到拷贝数改变。此外,与安捷伦寡核苷酸平台相比,细菌人工染色体阵列比较基因组杂交具有异常值较少的优势,这可能会影响数据解释。

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