Zhenzhong Deng, Yongkun Ji, Bing Han, Zhongming Tan, Yuqi Ren, Jinghan Gao, Nan Chen, Cong Ma, Yichi Zhang, Yunhai Yao, Hong Lu, Heqing Huang, Midie Xu, Lei Chen, Leizhen Zheng, Jianchun Gu, Deyi Xiong, Jianxin Zhao, Jinyang Gu, Zutao Chen, Ke Wang
BACKGROUND: Early detection of hepatocellular carcinoma (HCC) is important in order to improve patient prognosis and survival rate. Methylation sequencing combined with neural networks to identify cell-free DNA (cfDNA) carrying aberrant methylation offers an appealing and non-invasive approach for HCC detection. However, some limitations exist in traditional methylation detection technologies and models, which may impede their performance in the read-level detection of HCC. METHODS: We developed a low DNA damage and high-fidelity methylation detection method called No End-repair Enzymatic Methyl-seq (NEEM-seq)...
November 8, 2023: Genome Medicine