Exploration of the Relationship between Macrophage-Related Proteins and the Risk and Prognosis of Breast Cancer.

IF 0.7 4区医学 Q4 MEDICAL LABORATORY TECHNOLOGY

Clinical laboratory Pub Date : 2025-07-01 DOI:10.7754/Clin.Lab.2025.241128

Hong-Fang Ma, Qi-Na He, Yi Lu, Jun Shen

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引用次数: 0

Abstract

Background: Macrophage-related proteins play a crucial role in breast cancer. The present study explored the relationship between macrophage-related proteins and breast cancer using Mendelian randomization (MR) for genetic variations and bioinformatics methods for transcriptomics.

Methods: Genetic instruments associated with macrophage migration inhibitory factor (MIF), macrophage inflammatory protein 1α (MIP-1α), macrophage inflammatory protein 1β (MIP-1β), and granulocyte macrophage colony-stimulating factor (GM-CSF) were gathered from genome-wide association studies (GWAS). The MR analysis was conducted using R software packages 'TwoSampleMR' and 'MRPRESSO', employing MR-Egger, in-verse-variance weighted (IVW), weighted median, simple mode, and MR-PRESSO algorithms. In addition, data from the UCSC Xena database provided the TCGA BRCA dataset for a 5-year overall survival analysis of MIP-1α.

Results: IVW analysis showed a significant positive association between MIP-1α and breast cancer incidence (OR = 1.0837, 95% CI: 1.0284 - 1.142), and the MR-PRESSO result also confirmed a causal relationship between them (OR = 1.0789, 95% CI: 1.0266 - 1.1338). There was no significant causal relationship found between MIF, MIP-1B, GM-CSF, and breast cancer. Survival analysis revealed that CCL3 was associated with prognosis in breast cancer patients in the Cox proportional-hazard model (HR = 1.5000, 95% CI: 1.0110 - 2.2250).

Conclusions: Elevated levels of macrophage inflammatory protein 1A may increase the risk of breast cancer and lead to poorer patient outcomes.

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巨噬细胞相关蛋白与乳腺癌风险及预后关系的探讨。

背景：巨噬细胞相关蛋白在乳腺癌中起重要作用。本研究利用孟德尔随机化（MR）研究遗传变异和生物信息学方法研究巨噬细胞相关蛋白与乳腺癌之间的关系。方法：从全基因组关联研究（GWAS）中收集巨噬细胞迁移抑制因子（MIF）、巨噬细胞炎症蛋白1α (MIP-1α)、巨噬细胞炎症蛋白1β (MIP-1β)和粒细胞巨噬细胞集落刺激因子（GM-CSF）相关的遗传仪器。MR分析使用R软件包“TwoSampleMR”和“MRPRESSO”，采用MR- egger、反方差加权（IVW）、加权中位数、简单模式和MR- presso算法。此外，来自UCSC Xena数据库的数据提供了TCGA BRCA数据集，用于MIP-1α的5年总生存分析。结果：IVW分析显示MIP-1α与乳腺癌发病率呈显著正相关（OR = 1.0837, 95% CI: 1.0284 ~ 1.142）， MR-PRESSO结果也证实两者之间存在因果关系（OR = 1.0789, 95% CI: 1.0266 ~ 1.1338）。MIF、MIP-1B、GM-CSF与乳腺癌之间没有明显的因果关系。生存分析显示，在Cox比例风险模型中，CCL3与乳腺癌患者的预后相关（HR = 1.5000, 95% CI: 1.0110 ~ 2.2250）。结论：巨噬细胞炎症蛋白1A水平升高可能增加乳腺癌的风险，导致患者预后较差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clinical laboratory 医学-医学实验技术

CiteScore

1.50

自引率

0.00%

发文量

494

审稿时长

3 months

期刊介绍： Clinical Laboratory is an international fully peer-reviewed journal covering all aspects of laboratory medicine and transfusion medicine. In addition to transfusion medicine topics Clinical Laboratory represents submissions concerning tissue transplantation and hematopoietic, cellular and gene therapies. The journal publishes original articles, review articles, posters, short reports, case studies and letters to the editor dealing with 1) the scientific background, implementation and diagnostic significance of laboratory methods employed in hospitals, blood banks and physicians'' offices and with 2) scientific, administrative and clinical aspects of transfusion medicine and 3) in addition to transfusion medicine topics Clinical Laboratory represents submissions concerning tissue transplantation and hematopoietic, cellular and gene therapies.