Evidence map›Paper›PMID 40282409›Full record

ArticleGenes2025

Reduction in Liver Cancer Risk by Quercetin via Modulation of Urate Levels: Insights from Drug-Target Mendelian Randomization.

Zhengwen Li, Yue Wang, Kaichuan Yang, Chujie Li, Ming Zhang

Abstract read
In one paragraph

Article in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Therapeutic Potential ofInternational journal of general medicine · 2026
    Article
  4. Review
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.

Zhengwen LiSchool of Pharmacy, Chengdu University, 2025 Chengluo Avenue, Chengdu 610106, China.
Yue WangCell Biology-Inspired Tissue Engineering, Institute for Technology-Inspired, Regenerative Medicine, Maastricht University, 6200 MD Maastricht, The Netherlands.
Kaichuan YangSchool of Pharmacy, Chengdu University, 2025 Chengluo Avenue, Chengdu 610106, China.
Chujie LiPrecision Medicine, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands.ORCID 0000-0002-3362-072X
Ming ZhangCollege of Food Science and Engineering, Hainan University, 58 Renmin Road, Haikou 570228, China.

Funding

National Natural Science Foundation of China 32201977Talent Introduction Project of Chengdu University (X2107, Y2021066). X2107, Y2021066
6 · The paper itself

Abstract

backgroundQuercetin, a dietary flavonoid and a widely used supplement, has hepatoprotective properties. Given its urate-lowering effects and epidemiological evidence linking elevated serum urate levels to liver cancer risk, we tested whether quercetin reduces liver cancer risk via modulation of urate levels by bioinformatics methods.

methodsWe employed drug-target Mendelian randomization using genome-wide association study summary statistics from public databases (e.g., MRC-IEU) to assess genetic associations, and integrated these findings with GEO datasets (such as GSE138709 and GSE179443) and immune infiltration analyses using tools like xCell, TIMER.

resultsOur analyses identified

conclusionsConsidering quercetin's multifaceted interactions with BCRP/

Indexed as

ATP Binding Cassette Transporter, Subfamily G, Member 2Carcinoma, HepatocellularLiver NeoplasmsQuercetinUric AcidCholangiocarcinomaGenome-Wide Association StudyHumansMendelian Randomization AnalysisNeoplasm ProteinsPolymorphism, Single NucleotideRisk FactorsABCG2 protein, humanATP Binding Cassette Transporter, Subfamily G, Member 2Neoplasm ProteinsQuercetinUric Aciddrug-target Mendelian randomizationliver cancerquercetinurate

Identifiers

PMID40282409
PMCPMC12027248

What Socratic holds

Textmetadata
LicenceCC BY
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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.