The development of a cSMART-based integrated model for hepatocellular carcinoma diagnosis

Author:

Wu Tong,Fan Rong,Bai Jian,Yang Zhao,Qian Yun-Song,Du Lu-Tao,Wang Chun-Ying,Wang Ying-Chao,Jiang Guo-Qing,Zheng Dan,Fan Xiao-Tang,Zheng Bo,Liu Jing-Feng,Deng Guo-Hong,Shen Feng,Hu He-Ping,Ye Yi-Nong,Zhang Qing-Zheng,Zhang Jing,Gao Yan-Hang,Xia Jie,Yan Hua-Dong,Liang Min-Feng,Yu Yan-Long,Sun Fu-Ming,Gao Yu-Jing,Sun Jian,Zhong Chun-Xiu,Wang Yin,Wang Hui,Kong Fei,Chen Jin-Ming,Wen Hao,Wu Bo-Ming,Wang Chuan-Xin,Wu Lin,Hou Jin-Lin,Liu Xiao-Long,Wang Hong-Yang,Chen Lei

Abstract

Abstract Background Hepatocellular carcinoma (HCC) generally arises from a background of liver cirrhosis (LC). Patients with cirrhosis and suspected HCC are recommended to undergo serum biomarker tests and imaging diagnostic evaluation. However, the performance of routine diagnostic methods in detecting early HCC remains unpromising. Methods Here, we conducted a large-scale, multicenter study of 1675 participants including 490 healthy controls, 577 LC patients, and 608 HCC patients from nine clinical centers across nine provinces of China, profiled gene mutation signatures of cell-free DNA (cfDNA) using Circulating Single-Molecule Amplification and Resequencing Technology (cSMART) through detecting 931 mutation sites across 21 genes. Results An integrated diagnostic model called “Combined method” was developed by combining three mutation sites and three serum biomarkers. Combined method outperformed AFP in the diagnosis of HCC, especially early HCC, with sensitivities of 81.25% for all stages and 66.67% for early HCC, respectively. Importantly, the integrated model exhibited high accuracy in differentiating AFP-negative, AFP-L3-negative, and PIVKA-II-negative HCCs from LCs.

Funder

National Natural Science Foundation of China

Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program

Sanming Project of Medicine in Shenzhen

National Science Foundation of Shanghai

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,Molecular Biology,Hematology

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