Evidence map›Paper›PMID 42477571›Full record

ArticleBMC gastroenterology2026

Accelerated biological aging and the risk of incident liver cancer: a prospective cohort study of the UK biobank.

Xiaojuan Liu, Shuangshuang Yang, Conghui Zhang, Ping Chen, Jiangping Li

Abstract read
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Article in BMC gastroenterology, 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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiaojuan LiuSchool of Public Health, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, Ningxia Hui Autonomous Region, China.
Shuangshuang YangSchool of Public Health, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, Ningxia Hui Autonomous Region, China.
Conghui ZhangSchool of Public Health, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, Ningxia Hui Autonomous Region, China.
Ping ChenMedical Experiment Center, General Hospital of Ningxia Medical University, Yinchuan, 750004, Ningxia Hui Autonomous Region, China. chenping991232@163.com.
Jiangping LiSchool of Public Health, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, Ningxia Hui Autonomous Region, China. lijp@nxmu.edu.cn.

Funding

Natural Science Foundation of Ningxia Province 2022AAC03174
6 · The paper itself

Abstract

backgroundWhile conventional risk factors for liver cancer are well-established, the contribution of biological aging to hepatocarcinogenesis remains poorly understood, representing an important gap in its etiological framework.

methodsWe conducted a prospective cohort study using data from the UK Biobank (UKB). Biological age (BA) was assessed using the Klemera-Doubal method (KDM-BA) and PhenoAge algorithms. Multivariable Cox proportional hazards models were used to evaluate associations between BA acceleration and liver cancer incidence, with robustness assessed using restricted cubic splines, subgroup analyses, and sensitivity analyses. Mediation analyses evaluated whether alanine aminotransferase (ALT) and aspartate aminotransferase (AST) mediate the relationship between biological aging and liver cancer.

resultsThe study included 274,966 participants (mean age 55.75 ± 8.10 years; 53.8% female). Over a median follow-up of 14.67 years, 325 incident liver cancer cases were documented. After multivariable adjustment, each 1-standard deviation (SD) increase in BA acceleration was associated with an elevated liver cancer risk (KDM-BA acceleration: HR = 1.28, 95%CI 1.16-1.41; PhenoAge acceleration: HR = 1.32, 95%CI 1.22-1.43). A nonlinear dose-response relationship was observed between KDM-BA acceleration and liver cancer risk (P < 0.001). Exploratory mediation analyses indicated that the effect of KDM-BA acceleration may be partially mediated by ALT and AST, whereas PhenoAge acceleration appeared to act primarily through direct mechanisms.

conclusionsAccelerated biological aging, as quantified by KDM-BA and PhenoAge, appears to be independently associated with incident liver cancer. The underlying pathways may differ: KDM-BA acceleration is partially mediated by liver enzymes, while PhenoAge acceleration appears to operate largely through direct mechanisms.

Indexed as

AgingLiver NeoplasmsAgedAlanine TransaminaseAspartate AminotransferasesBiological Specimen BanksFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsUK BiobankUnited KingdomAlanine TransaminaseAspartate AminotransferasesBiological agingCohort studyLiver cancerMediation analysis

Identifiers

PMID42477571
PMCPMC13670437

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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.