Chen Shifu, Liu Ming, Zhou Yanqing
HaploX Biotechnology, Nanshan District, Shenzhen, Guangdong, China.
Methods Mol Biol. 2018;1754:67-95. doi: 10.1007/978-1-4939-7717-8_5.
As a major biomarker of liquid biopsy, cell-free tumor DNA (ctDNA), which can be extracted from blood, urine, or other circulating liquids, is able to provide comprehensive genetic information of tumor and better overcome the tumor heterogeneity problem comparing to tissue biopsy. Developed in recent years, next-generation sequencing (NGS) is a widely used technology for analyzing ctDNA. Although the technologies of processing ctDNA samples are mature, the task to detect low mutated allele frequency (MAF) variations from noisy sequencing data remains challenging. In this chapter, the authors will first explain the difficulties of analyzing ctDNA sequencing data, review related technologies, and then present some novel bioinformatics methods for analyzing ctDNA NGS data in better ways.
作为液体活检的主要生物标志物,游离肿瘤DNA(ctDNA)可从血液、尿液或其他循环液体中提取,与组织活检相比,它能够提供肿瘤的全面遗传信息,并更好地克服肿瘤异质性问题。下一代测序(NGS)是近年来发展起来的一种广泛用于分析ctDNA的技术。尽管处理ctDNA样本的技术已经成熟,但从嘈杂的测序数据中检测低突变等位基因频率(MAF)变异的任务仍然具有挑战性。在本章中,作者将首先解释分析ctDNA测序数据的困难,回顾相关技术,然后介绍一些新颖的生物信息学方法,以便更好地分析ctDNA NGS数据。