精确肿瘤学
杠杆(统计)
液体活检
微小残留病
肿瘤异质性
活检
生物
精密医学
循环肿瘤细胞
数字聚合酶链反应
采样(信号处理)
癌症的体细胞进化
计算生物学
临床肿瘤学
循环肿瘤DNA
癌症
病理
医学
计算机科学
基因
免疫学
遗传学
聚合酶链反应
滤波器(信号处理)
白血病
转移
计算机视觉
机器学习
作者
Ellen Heitzer,Imran S. Haque,Charles E. S. Roberts,Michael R. Speicher
标识
DOI:10.1038/s41576-018-0071-5
摘要
Precision oncology seeks to leverage molecular information about cancer to improve patient outcomes. Tissue biopsy samples are widely used to characterize tumours but are limited by constraints on sampling frequency and their incomplete representation of the entire tumour bulk. Now, attention is turning to minimally invasive liquid biopsies, which enable analysis of tumour components (including circulating tumour cells and circulating tumour DNA) in bodily fluids such as blood. The potential of liquid biopsies is highlighted by studies that show they can track the evolutionary dynamics and heterogeneity of tumours and can detect very early emergence of therapy resistance, residual disease and recurrence. However, the analytical validity and clinical utility of liquid biopsies must be rigorously demonstrated before this potential can be realized.
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