Evidence map›Paper›PMID 40879705›Full record

ArticleDiscover oncology2025

Dietary factors causally affect the risk of kidney cancer: a two-sample Mendelian randomization study.

Congcong Zhu, Tonghu Liu, Zhengyi Jiang, Hui Wang, Mengran Zhang, Weibo Sun, Zechen Yan

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Congcong Zhu *Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Tonghu Liu *Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhengyi JiangDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hui WangDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Mengran ZhangInstitute of Molecular Cancer Surgery, Henan Province Engineering Research Center, Zhengzhou University, Zhengzhou, China. 609186531@qq.com.
Weibo SunInstitute of Molecular Cancer Surgery, Henan Province Engineering Research Center, Zhengzhou University, Zhengzhou, China. gorph1@163.com.
Zechen YanDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. yanzechen@foxmail.com.

Funding

the Joint Co-construction Project of Henan Medical Science and Technology Tackling Program LHGJ20230060
6 · The paper itself

Abstract

backgroundPrevious observational studies have indicated potential associations between certain dietary factors and the incidence of kidney cancer. However, the causal relationship between these elements remains unknown. This study is aimed to investigate the causal relationship between dietary factors and the incidence of kidney cancer through Mendelian randomization (MR) analysis.

methodsThe study utilized genome-wide association study (GWAS) summary data from the GWAS Catalog and the IEU Open GWAS project databases. The exposure factors included consumption of dessert (n = 20,622), fruit (n = 421,155), alcohol (n = 462,346), and salt (n = 323,995). The outcomes were based on GWAS data for kidney cancer (cases = 1,103, controls = 455,245). Three MR methods, including Inverse Variance Weighted (IVW), MR-Egger, and Weighted Median, were used in the study, with IVW serving as the primary method. Sensitivity analyses such as the MR-Egger intercept test, Cochran's Q test, and leave-one-out analysis were performed to detect heterogeneity and pleiotropy.

resultsThe IVW method demonstrated a significant causal relationship between frequent alcohol consumption (OR = 1.61, 95% CI: 1.02-2.54, P = 0.040) and kidney cancer. In contrast, no causal associations were found with the consumption of alcohol (OR = 1.12, 95% CI: 0.91-1.37, P = 0.280), dessert (OR = 1.23, 95% CI: 0.71-2.12, P = 0.465), fruit (OR = 1.33, 95% CI: 0.59-3.00, P = 0.494) or salt (OR = 0.01, 95% CI: 0.00-1.49, P = 0.073). The sensitivity analyses did not reveal any evidence of pleiotropy.

conclusionThis MR study suggests that frequent alcohol consumption can increase the risk of kidney cancer, whereas no significant causal relationships were detected between the consumption of dessert, fruit or salt and the risk of kidney cancer.

Indexed as

Causal inferenceDietary factorsGenome-wide association studyKidney cancerMendelian randomization

Identifiers

PMID40879705
PMCPMC12397012

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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.