School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Trends Cancer. 2021 Apr;7(4):283-292. doi: 10.1016/j.trecan.2020.11.001. Epub 2020 Dec 13.
Deeper and broader sequencing of circulating tumor DNA (ctDNA) has identified a wealth of cancer markers in the circulation, resulting in a paradigm shift towards data science-driven liquid biopsies in oncology. Although panel sequencing for actionable mutations in plasma is moving towards the clinic, the next generation of liquid biopsies is increasingly shifting from analyzing digital mutation signals towards analog signals, requiring a greater role for machine learning. Concomitantly, there is an increasing acceptance that these cancer signals do not have to arise from the tumor itself. In this Opinion, we discuss the opportunities and challenges arising from increasingly complex cancer liquid biopsy data.
循环肿瘤 DNA(ctDNA)的深度和广度测序已经在循环系统中发现了大量的癌症标志物,从而促使肿瘤学领域朝着基于数据科学的液体活检转变。尽管针对血浆中可操作突变的面板测序正在向临床应用推进,但下一代液体活检正逐渐从分析数字突变信号转向分析模拟信号,这就需要机器学习发挥更大的作用。同时,人们越来越接受这样一种观点,即这些癌症信号不一定来自肿瘤本身。在本观点中,我们讨论了日益复杂的癌症液体活检数据带来的机遇和挑战。