Machine learning-based genome-wide interrogation of somatic copy number aberrations in circulating tumor DNA for early detection of hepatocellular carcinoma

Machine learning-based genome-wide interrogation of somatic copy number aberrations in circulating tumor DNA for early detection of hepatocellular carcinoma

ABSTRACT: Background: DNAs released from tumor cells into blood (circulating tumor DNAs, ctDNAs) carry tumor-specific genomic aberrations, providing a non-invasive means for cancer detection. In this study, we aimed to leverage somatic copy number aberration (SCNA) in ctDNA to develop assays to det...

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Bibliographic Details
Main Authors: Kaishan Tao, Zhenyuan Bian, Qiong Zhang, Xu Guo, Chun Yin, Yang Wang, Kaixiang Zhou, Shaogui Wan, Meifang Shi, Dengke Bao, Chuhu Yang, Jinliang Xing
Format: Article
Language:English
Published: Elsevier 2020-06-01
Series:EBioMedicine
Subjects:
Copy number aberration (CNA)
Hepatocellular carcinoma (HCC)
Early detection
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396420301869

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http://www.sciencedirect.com/science/article/pii/S2352396420301869

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