Evidence map›Paper›PMID 41186809›Full record

ArticleDiscover oncology2025

Causal links and immune mediators between blood cells and breast cancer risk: a mendelian randomization study.

Meizi Song, Yu Liu, Jiaxu Dong, Jiafang Xu, Minghao Yang, Qingjie Hu, Siqi Yin, Xun Bi

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Article in Discover oncology, 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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Meizi SongDepartment of General Surgery, The First Afffliated Hospital of Hainan Medical University, 31 Longhua Road, Haikou, 570102, Hainan, China.
Yu LiuDepartment of Breast Surgery, The First Afffliated Hospital of Hainan Medical University, Haikou, Hainan, China. 15218046@qq.com.
Jiaxu DongDepartment of General Surgery, The First Afffliated Hospital of Hainan Medical University, 31 Longhua Road, Haikou, 570102, Hainan, China.
Jiafang XuDepartment of Breast Surgery, The First Afffliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Minghao YangDepartment of General Surgery, The First Afffliated Hospital of Hainan Medical University, 31 Longhua Road, Haikou, 570102, Hainan, China.
Qingjie HuReproductive Medicine Center, The First Afffliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Siqi YinDepartment of Breast Surgery, The First Afffliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Xun BiDepartment of General Surgery, The First Afffliated Hospital of Hainan Medical University, 31 Longhua Road, Haikou, 570102, Hainan, China. bixun@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have indicated a potential association between blood cells and breast cancer risk, but the causal relationships involving specific blood cell metrics and the role of immune cell mediators remain unclear. This study employs Mendelian randomization to explore the causal relationships between diverse blood cell profiles and breast cancer risk, while also seeking to identify potential mediating factors within immune cell metrics.

methodsWe utilized Mendelian randomization to explore the causal effects of 91 different blood cell types on breast cancer risk, using genetic variants as instrumental variables. The analysis employed the inverse-variance weighted (GWAS) method, with a significance threshold of 0.05, to evaluate the causal relationships. Multivariate analysis was conducted to determine the mediating effects of immune cells in the association between blood cells and breast cancer. Heterogeneity test and multi-small size test are performed to complete the sensitivity analysis, ensuring the stability and reliability of the results.

resultsWe identified significant causal relationships between blood cells and breast cancer risk. Specifically, the Neutrophil perturbation response (the ratio of neutrophil 2 to neutrophil 4 in response to KCl perturbation measured by WDF dye) was found to be causally associated with breast cancer risk. Furthermore, CD45RA-CD4+T cell Absolute Count was identified as a mediator in this relationship. The mediating effect of CD45RA-CD4+T cell Absolute Count was - 0.055 (P = 0.022), indicating that the impact of Neutrophil perturbation response on breast cancer risk is mediated through CD45RA-CD4+T cell Absolute Count.

conclusionOur study highlights a causal relationship between Neutrophil perturbation response and breast cancer risk, with CD45RA-CD4+T cell Absolute Count acting as a significant mediator. These findings provide new insights into the role of immune cells in the relationship between blood cell metrics and breast cancer risk, suggesting potential targets for further research and intervention.

Indexed as

Breast cancerImmune cellsMendelian randomization

Identifiers

PMID41186809
PMCPMC12586259

What Socratic holds

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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 Socratic graph.