Evidence map›Paper›PMID 40696578›Full record

ArticleMedicine2025

Exploring the causal relationship between serum uric acid and gastrointestinal cancer based on Mendelian randomization studies and bioinformatics approaches.

Kaichen Han, Huaizhu Chu, Yongwen Li, Hengheng Zhang, Haigang Liu, Guangzhi Wu, Jianguo Xu

Abstract read
In one paragraph

Article in Medicine, 2025. 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

What it found

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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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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kaichen HanQinghai University, Xining, China.ORCID 0009-0009-9076-6117
Huaizhu ChuDepartment of Surgical Oncology, Qinghai Provincial People's Hospital, Xining, China.
Yongwen LiQinghai University, Xining, China.
Hengheng ZhangQinghai University, Xining, China.
Haigang LiuQinghai University, Xining, China.
Guangzhi WuQinghai University, Xining, China.
Jianguo XuDepartment of Surgical Oncology, Qinghai Provincial People's Hospital, Xining, China.ORCID 0009-0001-4495-4899

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent observational studies show a correlation between serum uric acid (SUA) levels and colorectal and gastric cancers (CRC and GC). It is unclear, nevertheless, what the biological mechanisms and causation of these connections are. Using summary data from the genome-wide association study, we analyzed 2-sample Mendelian randomization (MR). Inverse-variance weighted (IVW) was the main technique for determining causality. The weighted median, weighted mode, MR-Egger, Wald ratio, and IVW were employed to investigate the causal link between SUA and GC/CRC. To evaluate weak instrumental variable (IV) bias, F-statistics were computed. Using MR-PRESSO, outliers were found and removed. Cochran Q test, MR-Egger test, and leave-one-out approach were employed to find heterogeneity and stability in MR results. Ultimately, bioinformatics investigations were carried out to investigate plausible biological pathways linking GC/CRC and SUA. According to IVW data, SUA dramatically lowered the chance of GC (OR = 0.804, 95% Cl: 0.700-0.922, P = .002). There was no discernible cause-and-effect connection between SUA and CRC (OR = 0.999, 95% Cl: 0.997-1.000, P = .080). Furthermore, the reliability of the multiple validity and heterogeneity tests demonstrated the validity of the MR data. A total of 10 hub genes were found, with the majority of them being enriched in the AMPK signaling pathway, lipid metabolism, glucose metabolism, and cholesterol metabolism. This study indicates that SUA lowers the chance of developing GC, regardless of the risk of acquiring CRC. The link between SUA and GC could be due to several metabolic processes.

Indexed as

Colorectal NeoplasmsGastrointestinal NeoplasmsStomach NeoplasmsUric AcidComputational BiologyGenome-Wide Association StudyHumansMendelian Randomization AnalysisUric Acid2-sample Mendelian randomizationbioinformaticscolorectal cancergastric cancerserum uric acid

Identifiers

PMID40696578
PMCPMC12282758

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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.