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首页> 外文期刊>The Journal of molecular diagnostics: JMD >High-Resolution Genomic Profiting of Disseminated Tumor Cells in Prostate Cancer
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High-Resolution Genomic Profiting of Disseminated Tumor Cells in Prostate Cancer

机译:前列腺癌中弥散性肿瘤细胞的高分辨率基因组获利

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摘要

Circulating tumor cells and disseminated tumor cells (DTCs) are of great interest because they provide a minimally invasive window for assessing aspects of cancer biology, including tumor heterogeneity, a means to discover biomarkers of disease behavior, and a way to identify and prioritize therapeutic targets in the emerging era of precision oncology. However, the rarity of circulating tumor cells and DTCs poses a substantial challenge to the consistent success in analyzing their molecular features, including genomic aberrations. Herein, we describe optimized and robust methods to reproducibly detect genomic copy number alterations in samples of 2 to 40 cells after whole-genome amplification with the use of a high-resolution single-nuclear polymorphism-array platform and refined computational algorithms. We have determined the limit of detection for heterogeneity within a sample as 50% and also demonstrated success in analyzing single cells. We validated the genes in genomic regions that are frequently amplified or deleted by real-time quantitative PCR and nCounter copy number quantification. We further applied these methods to DTCs isolated from individuals with advanced prostate cancer to confirm their highly aberrant nature. We compared copy number alterations of DTCs with matched metastatic tumors isolated from the same individual to gain biological insight. These developments provide high-resolution genomic profiling of single and rare cell populations and should be applicable to a wide-range of sample sources.
机译:循环肿瘤细胞和弥散性肿瘤细胞(DTC)引起人们极大的兴趣,因为它们为评估癌症生物学各个方面(包括肿瘤异质性,发现疾病行为生物标记的方法以及确定治疗目标并确定其优先次序的方法)提供了微创窗口。在新兴的精确肿瘤学时代。然而,循环肿瘤细胞和DTC的稀有性给分析其分子特征(包括基因组畸变)方面取得持续成功提出了重大挑战。在这里,我们描述了一种优化而强大的方法,可通过使用高分辨率单核多态性阵列平台和完善的计算算法,在全基因组扩增后可再现地检测2至40个细胞样品中的基因组拷贝数变化。我们已经确定样品中异质性的检测极限为50%,并且还证明了在分析单个细胞中的成功。我们通过实时定量PCR和nCounter拷贝数定量验证了经常被扩增或缺失的基因组区域中的基因。我们进一步将这些方法应用于分离自患有晚期前列腺癌的个体的DTC,以确认其高度异常的性质。我们将DTC的拷贝数变化与从同一个体中分离出来的匹配的转移性肿瘤进行了比较,以获取生物学见解。这些发展提供了单个和稀有细胞群体的高分辨率基因组图谱,并应适用于广泛的样品来源。

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