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Most hepatocellular carcinoma (HCC) cases were at advanced stage when diagnosis established. This study is intended to establish a clinical diagnostic model GAMAD for early-stage HCC and evaluate the diagnostic efficiency the same time. This study is a multicenter prospective study. Participants including healthy control,HCC, liver cirrhosis, hepatitis and benign tumor-like lesions are consecutively recruited into the cohort. All the blood samples are collected before any treatments and will be tested in single center in order to decrease bias.
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GALAD score including age, sex, PIVKA-II(DCP), Alpha-fetoprotein (AFP) and alpha-fetoprotein L3 (AFP-L3), is a serum biomarker-based panel that can aid in early detection among patients with a high risk for liver cancer. While increasing studies showed the diagnostic accuracy of AFP-L3 was not as good as that of AFP or PIVKA-II, and AFP-L3 was not significant in the multivariable model. Thus, a model with better diagnostic accuracy and more suitable for Chinese patients is needed. Here, based on a multi-locus blood-based assay targeting circulating tumor DNA methylation, we aim to develop a novel diagnostic model--GAMAD (gender, age, methylation, AFP and DCP) and validate its performance among HCC patients and those at high risk of developing HCC,such as liver cirrhosis, hepatitis patients. This is a multicenter, observational, prospective study. After giving fully informed consent, the participants will undergo the regular treatment according to NCCN guidelines.
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2,000 participants in 5 patient groups
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Tian Yang, Ph.D; Nanya Wang, Ph.D
Data sourced from clinicaltrials.gov
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