Evidence map›Paper›PMID 41942446›Full record

Articlenpj aging2026

HCCaging: a liver physiological aging-related biomarker for hepatocellular carcinoma diagnosis based on transcriptome data.

Bin Yu, Yajuan Zhang, Yong Tang, Meiling Hu, Jinfen Wei

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Bin YuSchool of Information Engineering, Hainan Vocational University of Science and Technology, Haikou, China.
Yajuan ZhangSchool of Information Engineering, Hainan Vocational University of Science and Technology, Haikou, China.
Yong TangSchool of Information Engineering, Hainan Vocational University of Science and Technology, Haikou, China.
Meiling HuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Jinfen WeiCollege of Intelligent Medical Science and Technology (Big Data Research Center), Hainan Medical University, Haikou, China. weijinfen@muhn.edu.cn.

Funding

Education Department of Hainan Province Hnky2025-24Hainan Medical University 2024 Talent Introduction Start-up Fund 2024055Hainan Vocational University of Science and Technology General Research Project HKKY2024-46National Natural Science Foundation of China 32500823
6 · The paper itself

Abstract

Aging is a fundamental biological process that influences cancer development in a context-dependent manner; however, how aging-related programs manifest in hepatocellular carcinoma (HCC) remains incompletely understood. Here, we systematically characterized aging-associated features in HCC by establishing a liver cancer-specific aging signature, termed HCCaging, across more than 2,000 tumor samples from 16 independent cohorts. We comprehensively evaluated its heterogeneity and associations with clinical outcomes, tumor stage, immune infiltration, and therapeutic response. The HCCaging score increased with chronological age, was higher in normal liver than tumor tissues, and elevated in early- versus late-stage tumors. In contrast, 13 previously reported aging- or senescence-related gene sets failed to show consistent patterns across these conditions in HCC. Machine learning models, including gradient boosting machines and random forests, achieved higher accuracy in distinguishing tumor from non-tumor samples using the HCCaging score compared with other 13 aging- or senescence-gene sets across eight independent HCC cohorts. Single-cell transcriptomic profiling revealed that HCCaging increased with age, particularly within epithelial compartments, reaching its highest levels in hepatocytes. Notably, although the proportion of T/NK cells declined with aging, their functional programs, including activated effector function, chemokine/chemokine receptor signaling, cytolytic activity, and pro-inflammatory pathways, were enhanced in older individuals. The HCCaging score, together with key genes ACAA1 and ESR1, were negatively correlated with T/NK cell infiltration, anti-inflammatory activity, and anti-apoptotic signatures, but positively correlated with pro-apoptotic, pro-inflammatory, chemokine, and cytolytic pathways. Furthermore, increased expression of XCL1 and XCL2 in T/NK cells with aging correlated positively with HCCaging, ACAA1, and ESR1, suggesting preserved or even enhanced antitumor potential of T/NK cells in older patients. Collectively, these findings highlight the dual role of aging in liver tumorigenesis. Hepatic aging and enhanced T/NK cell effector function may confer tumor-protective effects, whereas the concomitant decline in overall T/NK cell infiltration likely compromises immunosurveillance, thereby increasing carcinogenic susceptibility in the aging liver. This study provides new insights into the heterogeneity of hepatic aging and its complex interplay with the HCC tumor microenvironment and clinical outcomes.

Identifiers

PMID41942446
PMCPMC13230847

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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.