Hepatocellular Carcinoma Risk Scores: Ready to Use in 2015?

Chen, Chien-Jen; Lee, Hsuan-Shu; Liu, Jessica; Yang, Hwai I.

doi:10.2217/hep.14.32

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…None have been validated in other studies. Risk prediction models for HCC using information regarding HBV/HCV infection status and other risk factors of HCC allow selection of asymptomatic individuals for priority HCC screening (18).…”

Section: Introductionmentioning

confidence: 99%

Plasma DNA methylation marker and hepatocellular carcinoma risk prediction model for the general population

Yang

Wang

et al. 2017

Carcinogenesis

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Metastases in the later stages of hepatocellular carcinoma (HCC) cause the majority of deaths associated with the disease, making early detection crucial to patient survival. Risk models assessing HCC risk in the general population can be used for risk stratification for further HCC surveillance, however, none have been validated externally. Methylation of circulating DNA shows potential for non-invasive diagnosis of HCC. We conducted a prospective case-control study nested within a community-based cohort. We measured methylation levels in six genes (CDKN2A, RASSF1A, STEAP4, TBX2, VIM and ZNF154) which were identified in our previous work, using pre-diagnostic plasma DNA from 237 HCC cases and 257 matched controls. We found TBX2 hypermethylation was associated with increased HCC risk, with ORs (95% CI) of 3.2 (1.8-6.0). The associations were mainly among high-risk subjects; among subjects infected with HBV/HCV, the OR (95% CI) of TBX2 methylation was 5.3 (2.2-12.7). Among subjects with high risk scores, the ORs (95% CIs) were 7.8 (1.5-38.6) for Wen-HCC model ≥16, 5.8 (2.2-15.5) for Hung-HCC ≥15 and 7.5 (2.2-26.0) for Michikawa-HCC ≥8. Adding TBX2 methylation improved the accuracy of risk models for a high-risk population, with the area under the curve (AUC) of 76% for Wen-HCC score with TBX2 methylation compared with 69% with Wen-HCC alone. The AUCs were 63% for Hung-HCC score plus TBX2 methylation, and 53% for Hung-HCC alone, 65% for Michikawa-HCC score plus TBX2 methylation and 58% for Michikawa-HCC alone. Our findings suggest the potential increase in risk assessment discrimination and accuracy from incorporation of DNA methylation.

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Section: Introductionmentioning

confidence: 99%

Plasma DNA methylation marker and hepatocellular carcinoma risk prediction model for the general population

Yang

Wang

et al. 2017

Carcinogenesis

Self Cite

View full text Add to dashboard Cite

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“…Moreover, some studies have shown certain SNPs to play an important role in regulating alcohol consumption among Asian individuals . As host, viral, and environmental components are involved in the development of HCC in CHB patients, nomograms and risk calculators for HCC and cirrhosis among CHB patients have been developed and validated through the incorporation of all independent risk predictors in the risk models . Among all these risk factors, serum HBV‐DNA level is a consistent risk predictor in the disease progression from CHB to cirrhosis, HCC, and death .…”

Section: Introductionmentioning

confidence: 99%