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Somatic copy number profiling from hepatocellular carcinoma circulating tumor cells

机译:肝细胞癌循环肿瘤细胞的体细胞拷贝数分析

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摘要

Somatic copy number alterations (SCNAs) are important genetic drivers of many cancers. We investigated the feasibility of obtaining SCNA profiles from circulating tumor cells (CTCs) as a molecular liquid biopsy for hepatocellular carcinoma (HCC). CTCs from ten HCC patients underwent SCNA profiling. The Cancer Genome Atlas (TCGA) SCNA data were used to develop a cancer origin classification model, which was then evaluated for classifying 44 CTCs from multiple cancer types. Sequencing of 18 CTC samples (median: 4 CTCs/sample) from 10 HCC patients using a low-resolution whole-genome sequencing strategy (median: 0.88 million reads/sample) revealed frequent SCNAs in previously reported HCC regions such as 8q amplifications and 17p deletions. SCNA profiling revealed that CTCs share a median of 80% concordance with the primary tumor. CTCs had SCNAs not seen in the primary tumor, some with prognostic implications. Using a SCNA profiling model, the tissue of origin was correctly identified for 32/44 (73%) CTCs from 12/16 (75%) patients with different cancer types.
机译:Somatic拷贝数改变(SCNA)是许多癌症的重要遗传驱动因素。我们研究了从循环肿瘤细胞(CTC)获得SCNA谱的可行性,作为肝细胞癌(HCC)的分子液体活检。来自十个HCC患者的CTC,接受了SCNA分析。癌症基因组Atlas(TCGA)SCNA数据用于开发癌症原点分类模型,然后评估从多种癌症类型进行分类44个CTCS。使用低分辨率全基因组测序策略(中位数:0.88亿读/样品)的10例HCC患者测序18型CTC样品(中位数:4 CTCS /样品)透露了先前报告的HCC地区(如8Q扩增和17P)的频繁SCNA删除。 SCNA分析显示,CTCS与原发性肿瘤共享80%的一致性中位数。 CTCS在原发性肿瘤中没有看到SCNA,其中一些具有预后的含义。使用SCNA分析模型,从12/16(75%)患有不同癌症类型的患者的32/44(73%)CTCS正确鉴定起源组织。

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