Mendelian randomization and nomogram-based prediction of hepatocellular carcinoma risk in patients with hepatitis B cirrhosis.

Xiaolong Zheng, Yiping Hong, Wei Wei

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In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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1 citing paper in PubMed.

Hybrid Supervised-Unsupervised Modeling for Post-Hurricane Private Well Contamination Risk Score Using Empirical Validation and Community-Informed Assessment.GeoHealth · 2026
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5 · Who and what money

Authors and funding

3 authors.

Xiaolong ZhengDepartment of Gastroenterology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.

Yiping HongDepartment of Gastroenterology, The Affiliated Jinhua Hospital, Zhejiang University School of Medicine, JinHua, China.

Wei WeiDepartment of Gastroenterology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To innovatively integrate genetic causality and multidimensional clinical indicators, we aimed to investigate causal relationships between metabolic-inflammatory biomarkers and hepatocellular carcinoma (HCC) risk in hepatitis B-related cirrhosis (HBV-C) using Mendelian randomization (MR), and develop a precision prediction model combining genetic evidence with nonlinear biochemical dynamics. Methods: Leveraging bidirectional approaches, we first performed two-sample MR analysis on GWAS datasets (UK Biobank, Results: MR analysis revealed a robust causal link between reduced LDL levels and elevated HCC risk (OR = 0.472, 95% CI [0.259-0.860]; Conclusion: This study introduces a novel causal inference-guided prediction model, addressing the long-standing debate on LDL's dual role in hepatocarcinogenesis. By integrating MR-validated genetic causality, nonlinear biochemical modeling, and PCA-driven dimensionality reduction, our model provides a transformative tool for personalized HCC risk stratification in HBV-C patients.

Indexed as

Carcinoma, HepatocellularHepatitis BLiver CirrhosisLiver NeoplasmsMendelian Randomization AnalysisNomogramsAdultFemaleHumansLipoproteins, LDLMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsLipoproteins, LDLClinical indicatorsHepatitis B-related cirrhosisHepatocellular carcinomaMendelian randomizationNomogram

Identifiers

PMID41142312

DOI10.7717/peerj.20179

PMCPMC12548634

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.