Evidence map›Paper›PMID 41935219›Full record

ArticleScientific reports2026

The aMAP score combined with plasma cfDNA methylation testing for risk stratification in hepatitis population: a case-control study.

Dianyan Chen, Ka Zhang, Tingyong Lv, Xuezhong Jian, Jin Zhang, Yinghong An, Dingyao Ren, Fei Long, Sandu Liu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Dianyan ChenDepartment of Hepatology, The People's Hospital of QianNan, Duyun, 558000, Guizhou, China.
Ka ZhangDepartment of Hepatology, The Third Affiliated Hosipital, SUN YAT-SEN University, Guangzhou, 510630, Guangdong, China.
Tingyong LvDepartment of Hepatology, The People's Hospital of QianNan, Duyun, 558000, Guizhou, China.
Xuezhong JianDepartment of Hepatobiliary Surgery, The People's Hospital of QianNan, Duyun, 558000, Guizhou, China.
Jin ZhangDepartment of Clinical Laboratory, The People's Hospital of QianNan, Duyun, 558000, Guizhou, China.
Yinghong AnDepartment of Clinical Laboratory, The Air Force Medical Center, Beijing, 100142, China.
Dingyao RenDepartment of Hepatology, The People's Hospital of QianNan, Duyun, 558000, Guizhou, China.
Fei LongDepartment of Clinical Laboratory, The People's Hospital of QianNan, Duyun, 558000, Guizhou, China.
Sandu LiuDepartment of Hepatology, The People's Hospital of QianNan, Duyun, 558000, Guizhou, China. liusandu@126.com.

Funding

The Guangzhou Science and Technology Plan Project NO. 202103000060The Guizhou Qiannan Infectious Disease Control Talent Base Project NO.RCJD2020-67The Qiannan Liver Disease Clinical Medical Research Center Project NO. Qiannan ke he zi(2020)05
6 · The paper itself

Abstract

Effective surveillance of the hepatitis populations reduces liver cancer incidence and improves prognosis. This study aimed to develop an easy and non-invasive risk assessment model for this population. A total of 392 subjects were included in the present study, comprising 72 cases of chronic hepatitis, 31 cases of liver fibrosis, 152 cases of cirrhosis and 137 cases of liver cancer from diverse ethnic groups in China. Concurrent evaluation of the methylation levels of the GNB4 and Riplet genes in plasma, alongside the age-male-albumin-bilirubin-platelet (aMAP) score and serum AFP, was performed for each subject. Head-to-head comparisons demonstrated that methylation is a superior diagnostic biomarker for liver cancer relative to AFP and aMAP scores. The sensitivity and specificity of GNB4/Riplet methylation for detecting liver cancer were 87.59% (95% confidence interval [CI]: 80.61%-92.40%) and 93.33% (95% CI: 89.25%-95.95%), respectively. For TNM stage I and II liver cancer, methylation showed sensitivities of 69.70% (95% CI: 51.13%-83.79%) and 91.18% (95% CI: 75.19%-97.69%), respectively. The aMAP score yielded an area under the curve (AUC) of 0.745 (95% CI: 0.679–0.812) for differentiating hepatitis from fibrosis/cirrhosis/cancer samples, and an AUC of 0.764 (95% CI: 0.710–0.818) for differentiating hepatitis/fibrosis from cirrhosis/cancer samples. When combining the aMAP score with methylation, the corresponding AUCs increased to 0.825 (95% CI: 0.774–0.875) and 0.867 (95% CI: 0.829–0.905), respectively. The combination of aMAP score and plasma GNB4/Riplet gene methylation shows promise as a tool for risk stratification, which needs external validation in the future.

Indexed as

Cell-Free Nucleic AcidsDNA MethylationLiver CirrhosisLiver NeoplasmsAdultAgedBilirubinBiomarkers, TumorCarcinoma, HepatocellularCase-Control StudiesChinaFemaleHumansMaleMiddle AgedRisk AssessmentBilirubinBiomarkers, TumorCell-Free Nucleic AcidsAMAP scoreLiver cancerMethylationRisk stratification

Identifiers

PMID41935219
PMCPMC13201715

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