循环肿瘤细胞
液体活检
循环肿瘤DNA
癌症
鉴定(生物学)
转移
肿瘤细胞
外周血
表型
医学
病理
计算生物学
DNA测序
癌症研究
实体瘤
癌细胞
生物
核糖核酸
追踪
DNA
依赖关系(UML)
计算机科学
作者
Xiaowei Yan,Zhuo Wang,Ziming Li,Yichun Zhao,Shun Lu,Qihui Shi,Wei Wei
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2025-12-01
标识
DOI:10.1101/2025.11.27.690914
摘要
Disseminated (DTCs) and circulating tumor cells (CTCs) are rare but pivotal in understanding cancer metastasis and advancing liquid biopsy-based diagnostics. Traditional detection approaches, hindered by their dependency on epithelial markers or morphological features, impair the accurate identification of varied DTC/CTC phenotypes within liquid biopsies. We describe DTCFinder, a bench-to-bits, label-free method integrating high-throughput single-cell RNA sequencing and machine learning, enabling unbiased detection, in-depth molecular characterization, and precise tissue-of-origin tracing of DTCs/CTCs across various types of liquid biopsies, even with ultra-scarce DTC/CTC presence in peripheral blood and low sequencing depth. DTCFinder offers a robust and versatile toolkit for liquid biopsy-based cancer diagnostics, enhancing our understanding of cancer metastasis.
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