Evidence mapPaperPMID 42352243Full record

ArticleBiomolecules2026

Paraoxonase 1 Suppresses Hepatocellular Carcinoma Progression by Modulating the NOD-like Receptor Signaling Pathway.

Hao-Lin Wei, Zhi-Ce Tan, Chu-Heng Gou, Ling Wang, Ze-Kun Liu, Hui-Jie Bian

Abstract read
In one paragraph

Article in Biomolecules, 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
field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 authors.

Hao-Lin WeiDepartment of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an 710032, China.
Zhi-Ce TanDepartment of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an 710032, China.
Chu-Heng GouDepartment of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an 710032, China.ORCID 0009-0005-9034-007X
Ling WangDepartment of Health Statistics, School of Preventive Medicine, Fourth Military Medical University, Xi'an 710032, China.
Ze-Kun LiuDepartment of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an 710032, China.ORCID 0000-0002-4670-2628
Hui-Jie BianDepartment of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an 710032, China.ORCID 0000-0003-4690-4622

Funding

China Postdoctoral Science Foundation 2022TQ0088China Postdoctoral Science Foundation 2024M754270National Natural Science Foundation of China 82130084the State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers 2025GTEP008
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) represents one of the most lethal malignancies worldwide and is characterized by profound metabolic reprogramming during its development. Paraoxonase 1 (PON1), a liver-synthesized secretory protein involved in lipid metabolism, has an incompletely defined role in cancer biology. This study aimed to systematically investigate the expression pattern, clinical features, and biological function of

Indexed as

AryldialkylphosphataseCarcinoma, HepatocellularLiver NeoplasmsCell Line, TumorCell MovementCell ProliferationDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisSignal TransductionAryldialkylphosphatasePON1 protein, humanhepatocellular carcinomaparaoxonase 1prognostic biomarkertumor suppressor factor

Identifiers

PMID42352243
PMCPMC13297327

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.