Evidence map›Paper›PMID 40316766›Full record

ArticleDiscover oncology2025

A Mendelian randomization study investigating the causal associations of 35 blood and urinary metabolite biomarkers with breast cancer development.

Ting Lin, Yimin Liu, Zixuan Liu, Ao Liu, Runtong Liu, Qianchao Wang

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

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

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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.

Ting Lin *Department of Breast Surgery, Tangshan People's Hospital, Tangshan, 130200, Hebei, China.
Yimin Liu *North China University of Science and Technology, Tangshan, 130200, Hebei, China.
Zixuan LiuNorth China University of Science and Technology, Tangshan, 130200, Hebei, China.
Ao LiuDongfang College, Beijing University of Traditional Chinese Medicine, Beijing, 110000, China.
Runtong LiuNorth China University of Science and Technology, Tangshan, 130200, Hebei, China.
Qianchao WangDepartment of Thoracic Surgery, Tangshan People's Hospital, Tangshan, 130200, Hebei, China. wqchao110@126.com.

Funding

Ting Lin and Qianchao Wang 20211134
6 · The paper itself

Abstract

Breast cancer is the most common cancer among women worldwide. The present study utilized a bidirectional Mendelian randomization methodology to explore the causal associations between 35 blood and urinary metabolic markers and distinct subtypes of breast cancer. The MR-PRESSO method was employed to detect and correct for pleiotropic effects, with statistical significance adjusted using the false discovery rate (FDR). The findings revealed significant causal links between certain metabolic markers and specific breast cancer subtypes. Specifically, glucose (OR: -0.187; 95% CI: -0.344 to -0.030) and glycated hemoglobin (HbA1c) (OR: -0.150; 95% CI: -0.2498 to -0.051) were associated with benign breast cancer. In contrast, statin-adjusted apolipoprotein B (OR: 0.493; 95% CI: 0.029 to 0.957) and low-density lipoprotein (LDL) (OR: 0.550; 95% CI: 0.056 to 1.043), urinary sodium (OR: -3.138; 95% CI: -5.710 to -0.565), and triglycerides (OR: 0.606; 95% CI: 0.0824 to 1.129) were correlated with intraductal carcinoma in situ. Apolipoprotein A (OR: 0.178; 95% CI: 0.053 to 0.304) and high-density lipoprotein (HDL) cholesterol (OR: 0.159; 95% CI: 0.045 to 0.273) were linked to intraductal carcinoma in situ of the breast, while total protein (OR: 0.800; 95% CI: 0.181 to 1.409) and albumin (OR: 0.883; 95% CI: 0.255 to 1.512) were associated with lobular carcinoma in situ. In the reverse analysis, benign breast cancer (OR: 0.014; 95% CI: 0.002 to 0.026) exhibited a correlation with urinary creatinine, and intraductal carcinoma in situ (OR: 0.004; 95% CI: 0.001 to 0.007) with insulin-like growth factor 1 (IGF-1). This study identifies key biomarkers for breast cancer susceptibility and resistance, offering a scientific foundation for further research endeavors.

Indexed as

Blood and urine biomarkersBreast cancerMendelian randomization

Identifiers

PMID40316766
PMCPMC12048380

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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.